【zz】10个方法提高你的编程生产力

http://www.javaeye.com/news/1538

1。一天最多阅读两次新闻
2。给自己精心准备一个工作开始的起点 
3。用笔画出来，做好预先研究工作
4。建立一个完美的工作环境
5。工作时间关掉IM工具 
6。工作时间只回复和处理紧急邮件 
7。减少开会，一周一次会议或者更少 
8。每两周参加一次社交活动 
9。放松的夜晚 
10。每周3次，每次20分钟的体育运动 

TOPCODER入门教程(转)

本文根据经典的TC教程完善和改编。
TopCoder：http://www.topcoder.com/

基本规则
TopCoder的比赛类型很多，最常见的是周赛SRM（Single Round Match），另外还有TCHS SRM（TopCoder High School SRM，题目和SRM一样，仅限中学生参加，参赛者水平较低，据说涨rating很容易），马拉松（Marathon Matchs），还有TCOpen（每年两次的大比赛）之类的比赛。因为大多数人都在做SRM，所以本文介绍的TC比赛即为SRM。
SRM的规则总结起来就是一句话：75分钟做完3道难度递增的题。
TC的每个用户（handle）都有自己的积分（rating），从0-3000+不等。成绩越好，分数越高。
积分与颜色的对应为：白色——未参赛（unrated）；灰色——0~899；绿色——900~1199；蓝色——1200~1499；黄色——1500~2199；红色——2200+。另外排名最高的几个人在TC客户端中会变成红色靶子图标。
比赛分为两个Division，Div I和Div II。白色灰色和绿色的参加Div II，蓝色黄色和红色的参加Div I。Div I的题要比Div II难许多，一般DivII的最后一题和Div I的第一或第二题是一样的。无论是Div I或Div II。三道题目的Score一般为250, 500和1000。
TC的计分规则很诡异，可以见http://www.topcoder.com/wiki/display/tc/Algorithm+Competition+Rating+System，但基本是没人看的懂。不过，TC积分规则的基本思想很简单。
首先是SRM每道题的计分规则。题目从打开开始计时，随着时间的流逝，你这道题目可能得到的分数也越来越少。不过分数减少的速率会逐渐变慢（有人说是先快后慢再快再慢，我不清楚到底哪个是对的，不过总体趋势是越来越慢），一般1000分的题目在降低到300分的时候就基本不会再下降太多了。每道题点击Submit才算正式提交，如果Submit之后发现错误，还可以再次点击Submit修改提交，不过这样会扣除这道题一定的分数。
其次是TC的计分规则。复杂的数学公式很难看懂，但大概的计分思想是：根据此次比赛的得分算出一个这次比赛的rank，然后和以前的rank做比较，求出一个期望的rank，再根据这个期望的rank调整rating。而有时也会出现考得很砸但依然涨rating的情况，不过总体来说TC的计分公式是十分稳定的。

运行环境TC的客户端是一个Java程序，所以需要JRE（Java Runtime Environment）或者JDK（Java Development Kit）来运行。如果平时不写Java程序的话，装JRE就可以了。毕竟JDK比JRE大一个数量级，下载慢。安装照着提示完成就行了。推荐使用1.4.1以后的版本，因为带了java web start，可以快速登陆。具体方法下一部分讲。
JRE下载地址（中文）：http://www.java.com/zh_CN/download/index.jsp

注册原文在注册的地方没有详细说明，但很多人似乎对注册都有疑问。所以这里我来注册一个小号，并通过整个过程讲解如何注册。
首先打开http://www.topcoder.com/tc（本文后面TopCoder的主页都指这个网址），然后点击右上角的Register Now（没看到？你可能看到了一个Login，目光向下挪一点，那个红底白字的“Register Now”就在下面）。接下来会弹出http://www.topcoder.com/reg这个页面，因为我们要参加SRM，所以选择第一个，Competition Registration。如果要参加TCHS可以选择第二个High School (Secondary School) Registration。这些以后都可以更改（这里没有选的如果以后要选上，只需要更新个人设置并挑勾；如果选上的要撤销选择则需要点一个“Unregister”的链接）。这里选择项目的多少和后面的页面需要填写内容的多少相关，本文以只选择第一项为例。
需要填写的项目和对应的中文翻译如下：

* Given Name:  名
* Surname:     姓
* Address1:  地址1
Address2:  地址2
Address3:  地址3（如果一行写不开，就在三行中分别写）
* City:   城市
State (US Only):  地区（不在美国就不用选）
Postal Code:  邮编
Province:  省
* Country:  国家
* Country to represent:  代表国家（不知道啥意思，中国人两个都填China就行）
* Timezone:  时区（选Asia/Chongqing）
Phone Number:  电话号码
* Email Address:  电子邮件
* Confirm Email Address:  确认电子邮件地址（就是把电子邮件地址重新打一遍）
Email Notifications:  邮件提醒（就是它给你发邮件提醒什么东西）
- Algorithm Competitions  算法比赛，就是SRM和TCOpen
- Software Development Opportunities  貌似就是有软件开发的项目就告诉你
- Employment Opportunities  工作机会
- TopCoder News & Events  新闻
* Enable Member Contact:  允许成员联系（似乎就是说是不是让别人在TC上能找到你）
* Show / hide earnings:  显示/隐藏收入（大概是说别人是不是能看到你赚了多少钱，TC的比赛可是有钱赚的）
* User Name:  用户名（下面的话提醒你一定不要填错，因为注册多个用户是不符合规定的。据说有人因为别人在TC客户端和他打招呼说“怎么你拿小号上了”，那个人的号就被封了）
* Password:  密码
* Confirm Password:  确认密码
* Secret Question:  密码找回问题（找回密码时需要回答这个问题，注意至少要8个字符长，而一个中文字似乎算一个字符，所以最后可能要打几个问号补齐长度）
* Secret Question Response:  密码找回问题答案
Quote:  座右铭，就是个签名档之类的东西
* Student/Professional:  学生/职业程序员
* = required  带*的项目必填

填写之后点Term of Use下面的I Agree，再点Submit，完成提交。除了用户名别的以后似乎都可以改。
接下来进入Demographics页面，这个大概相当于一个注册用户情况调查。

* Age :  年龄
* Gender :  性别（Male男，Female女）
* Ethnic Background :  民族背景（似乎选Asian or Pacific Islander就行吧……）
* Primary Interest in TopCoder :  在TC的主要兴趣，看不懂的就选第一个吧，那个是说你的兴趣在奖金……
* Shirt Size :  T-Shirt大小（有的比赛会给排名前N的选手发T-Shirt，这里你需要选择适合自己的大小，如果选最后一个说明你不想要T-Shirt，人家也不发你了。TC的T-Shirt还是挺好看的，比AStar的好）
* College Major :  大学的专业
* College Major Description :  这个不知道啥意思，随便填点东西就行……
* Degree Program :  学位（从上到下分别为：准学士，学士，硕士，博士，中学生）
* Graduation Year :  毕业年份
* Graduation Month :  毕业月份
* Clubs / Organizations :  组织（一般选None，可以按住Ctrl点鼠标多选）
Other Clubs / Organizations :  其它组织
* School:  学校（点Choose School选择学校，可以搜索，不过为啥shanghaijiaotong university才2个人注册？！）
* Show / hide my school:  显示/隐藏我的学校
GPA:  不懂的自己百度去……
GPA Scale:  同上
Resume:  简历
* How did you hear about TopCoder?:  你怎么知道的TC，如果选了“Member Referral”的话，需要填写那个人在TC的用户名（欢迎填写sqybi~）
* = required

点Submit，进入Confirm页面，确认信息。如果有误可以点Edit修改，否则点最下面的Confirm提交。
接下来进入Success，提示你已经发送一封邮件到你的邮箱中，你必须去点击里面的链接激活用户。激活之后就可以使用这个用户了。

登录登录的方法一般都是使用Java Web Start。
在TopCoder主页（http://www.topcoder.com/tc）最下方有一段话，第一句是“Load the Arena as an Applet or as a Java Web Start Application”。点“Java Web Start Application”，就会自动下载登陆需要的文件（一个jnlp格式的文件，本机装了JRE/JDK才能打开）。经测试在IE7下这个链接似乎不管用，在Firefox 3下正常。
然后运行下载下来的jnlp文件，就打开了TC客户端。第一次运行和有更新的时候会自动下载安装程序，等待即可，很快。
在我这里有时会提示“语法错误”，但没有任何影响，点“确定”就可以。启动可能会慢一些，耐心等待。
然后输入用户名密码，在Connection的地方选合适的登录方式（一般Direct就行，如果不行的话可以试试别的或者用AUTODETECT自动检测），在PROXY处设置代理，点GO登陆。这时可能还会提示语法错误，再确定就行，这个也没有什么影响。

界面
下面的图们来自原文，很经典，不打算改动了。请使用等宽字体浏览。
主界面：
———————————————————————–
|   Advertisements………….                                       |
———————————————————————–
| Main | Lobbies | Options | Practice Rooms | Active Contests | Help ||
———————————————————————–
|                                                 | Clock |           |
———————————————————————–
| Rating Key | Who’s here |                 Chat Area                 |
|     .      |            |                                           |
|     .      |            |                                           |
|     .      |            |                                           |
|     .      |            |                                           |
|     .      |            |                                           |
|————|            |                                           |
|  MESSAGES  |            |                                           |
|————|            |                                           |
|LEADER BOARD|            |                                           |
|————|            |                                           |
|            |            |                                           |
|            |            |——————————————-|
|            |            | >>_______________________________________ |
———————————————————————–
Advertisements 广告。
菜单项:
- Main里可以看在线名单和找人。
- Lobbies基本用不着，因为用户一般都在Chat Room 1。
- Options里是一些选项和颜色设置。
- Practice Rooms里有大量的练习，都是以前比赛的题目
- Active Contests只有有比赛的时候才有用，显示当前正在进行和将要进行的比赛以及比赛注册之类的东西。
- Help里是….不用说了吧。
Rating Key: handle的颜色是随着积分而改变的，这里显示了积分与颜色的关系。
MESSAGES: 比赛的时候这里有注册提示和clarification。
LEADER BOARD: 看每个room的最高分。
Who’s here: 当前room里的人。
Chat Area: 聊天。

练习
在Practice Rooms里随便选择一个room就可以进入practice了。
界面与主页面稍有变化，但基本相同，略去不画。主要的变化就是Who’s here分成了两块，多了一块Who’s assigned。这块显示的是谁被分到了这个room。因为是练习区，所以只要是在这里打开过题的都算是assigned。而在正式比赛中room是由TC分配的。这里显示的是被分配到这个room的人。界面上还有一个变化是Chat Area顶上多了三块。最左边的是一个下拉菜单。里面有三个分值，选择后就可以打开相应的题目。中间的summary可以看这个room里每个人的提交情况。
在practice room里只有coding phase。提交后要判的话需要自己选择Practice Options（多出来的菜单项）里的Run System Test。

比赛
每次比赛(除了1年两次的大赛)都需要在赛前3小时-5分钟之间登陆注册方可参加，注册需要在Active Contest菜单中，选择你要参加的那个比赛，再选择Register。注意比赛前5分钟注册停止，这时候如果没有注册就不能参赛了。而注册了没有打开题目也视为没有参赛，rating不变动。
然后TopCoder开始根据每个人的rating分配room，一般每个room都有高手和菜鸟，只不过如果你的rating高，和高手分在一起的概率高一些（当然也不一定是这样，比如我上次就和yuhch大牛分在了一起……）
分配完成后，Active Contest菜单中Register一项变成Enter。选择后可以直接进入你被分配到的room。Active Contest菜单最下面还有一项暗色背景的Room子菜单，可以进入各个room溜达。
进入自己room的时候一般离开始只有3分钟左右，静一下心就可以直接开始比赛了。coding phase的过程与practice基本相同。注意每题的得分是和用的时间相关（见前面的计分规则），而时间是从你打开该题开始算的。所以一题做完后可以不急着打开下一题，先放松一下。
75分钟的coding后是5分钟的intermission，这段时间是用来休息和聊天的。
然后就是最刺激的15分钟challenge phase，也就是通常说的cha人。打开summary，双击别人的各题Score可以打开那题的程序，如果觉得有错误就可以点左下的Challenge然后输入你认为他会错的输入数据，如果输入数据合法那么系统会用标程的输出和这个程序的输出对比，如果出现不同则cha人成功。成功的话你能得到50分，对方该题分数为0；而如果失败了，你会被减去25分。每个程序只能成功被cha一次，也就是说，如果有人cha掉了这个程序，你就不能再次cha。但是一个人可以cha某个程序很多次，直到这个程序被cha掉或者你放弃。
Challenge结束后就是System Test。这个过程一般比较慢，可以先走开做其他事，过20分钟再回来看结果。System Test中的测试数据有两种：一种是出题者准备的测试数据，一种是成功cha掉别人的数据。所以，TC中很少出现有bug的程序能通过System Test的情况。
结果出来后再过一段时间，就可以看到一系列message,比如rating更新了，新的practice room建好了以及可以通过主页查看这次比赛的数据了。这时比赛就宣告结束。

注意事项
1.在TC主页（http://www.topcoder.com/tc）上可以看到Next SRM，这是下次SRM的时间。注意我们的时间与他们刚好相差12小时，因此若时间是7月9日9:00 PM的话，这里是7月10日9:00 AM。还有要注意的是美国有夏令时，非夏令时的时候，还要再加1小时，就是7月10日10:00 AM。
2.Practice Rooms里写的程序只要点SAVE就可以保存，下次login的时候还可以看到，但是比赛时候的程序必须Submit才可以在coding phase结束后保存(coding phase结束前还是只要SAVE就可以的)。
3.若想cha别人的程序，自己必须是正分(0分也不行)，所以若没有一题有正确的程序但有很好的数据的话，随便交一道看上去正确的程序，然后在challenge的时候快下手，就可以赚到了。
4.客户端自带的编辑器只有基本的编辑功能和编译及测试功能，所以若觉得不方便的话可以使用parser和plugin，TC主页最下面有plugin的连接。每个plugin都有详细说明文档，这里不再赘述。
5.TC的FAQ：http://www.topcoder.com/?&t=support&c=index
6.最后一条，千万不要作弊，会有严重的后果。

SRM的输入输出
SRM是不用标准或文件输入和输出的，只要写一个类的一个成员函数。也就是说，你需要编写的并不是一个完整的程序，而是一个类。
输入是成员函数的参数，输出用return，所以经常需要STL中的vector和string。
因为TC的系统并不测试标准输出，所以标准输出可以当调试用。
下面以SRM 413 Div 2的1000分题目介绍程序的写法。
题目如下（选择不同的语言，题目描述会略有不同，本文以C++为例）：

Problem Statement
NOTE: This problem statement contains subscripts that may not display properly if viewed outside of the applet.
Let’s consider an infinite sequence A defined as follows:
A0 = 1;
Ai = A[i/p] + A[i/q] for all i >= 1, where [x] denotes the floor function of x. (see Notes)
You will be given n, p and q. Return the n-th element of A (index is 0-based).
Definition
Class:
InfiniteSequence
Method:
calc
Parameters:
long long, int, int
Returns:
long long
Method signature:
long long calc(long long n, int p, int q)
(be sure your method is public)
Notes
- [x] denotes the floor function of x which returns the highest integer less than or equal to x. For example, [3.4] = 3, [0.6] = 0.
Constraints
- n will be between 0 and 10^12, inclusive.
- p and q will both be between 2 and 10^9, inclusive.
Examples
0)
0
2
3
Returns: 1
A[0] = 1.
1)
7
2
3
Returns: 7
A[0] = 1; A[1] = A[0] + A[0] = 2; A[2] = A[1] + A[0] = 2 + 1 = 3; A[3] = A[2] + A[1] = 3 + 2 = 5; A[7] = A[3] + A[2] = 5 + 3 = 8.
2)
10000000
3
3
Returns: 32768
3)
256
2
4
Returns: 89
4)
1
1000000
1000000
Returns: 2
This problem statement is the exclusive and proprietary property of TopCoder, Inc. Any unauthorized use or reproduction of this information without the prior written consent of TopCoder, Inc. is strictly prohibited. (c)2003, TopCoder, Inc. All rights reserved.

下面是我写的一个错误算法的程序，仅供参考格式用：

#include <string>
#include <vector>
class InfiniteSequence {
public:
long long calc(long long n, int p, int q) {
if (n == 0)
return 1;
else
return calc(n/p, p, q) + calc(n/q, p, q);
}
};

转自：http://sqybi.com/blog/archives/25

[zz]TopCoder新手完全教程

一个很古老但很有用的TopCoder教程,贴出来.因为不知道来源了,所以无法注明来源.
改了一下格式和里面一些内容,蓝色的部分是我大幅度更改的内容(似乎只有JRE的下载,已经实验,绝对可用).

1.基本规则
2.运行环境
3.注册与登陆
4.界面简介
5.练习
6.比赛
7.注意事项
8.代码编写

TopCoder(以下简写tc) URL: http://www.topcoder.com

1.基本规则
  tc的比赛规则归结起来就是一句话：75分钟做完3道难度递增的题。
  tc的每个用户(handle)都有自己的积分，从0-3000+不等。成绩越好，分数越高。比赛分为两个division。Div I和Div II。积分<1200或者unrated(即注册但还没参加过比赛的）参加Div II，>=1200的参加Div I。Div I的题要比Div II难许多。一般DivII的最后一题和Div I的第一或第二题是一样的。无论是Div I或Div II。三道题目的Score一般为250, 500和1000左右，视每次的难度略有浮动。个人积分(rating)的增减是根据你和别人在比赛中的score以及你们原来的rating决定的。tc的提交结合了ICPC和IOI的特点，即只能交一次，必须过所有数据并且得分与用时相关。tc每周有一次Single Round Match(SRM)，每年两次大的比赛(有$)。

2.运行环境
  tc的客户端是一个java程序，所以需要jre( java runtime environment) 或者jdk( java development kit) 来运行。如果平时不写java程序的话，装jre就可以了。毕竟jdk比jre大一个数量级，下载慢。安装照着提示完成就行了。推荐使用1.4.1以后的版本，因为带了java web start，可以快速登陆。具体方法下一部分讲。
  sun公司主页上的JRE Version 6 Update 3(最新)下载地址：
  http://www.java.com/zh_CN/download/index.jsp

3.注册与登陆。
  点主页右上角的register注册，过程没什么好说的。
  注册好后就可以登陆了。有两种方法：
  a.点左侧的Launch Arena Applet
    点后弹出一个窗口，等一会后就出现一个Load Competition Arena的按纽。 点击就运行了客户端。注意不要把这个小窗口关掉，否则客户端会一并关了。这个方法在win2000下有时候会有问题，但是在98下是正常的。不推荐。
  b.通过java web start运行
    topcoder主页底部有一栏如下：
    ---------------------------------------------------------------------
    | Java Web Start                                                    |
    | Run the Arena as a Java Web Start Application                     |
    | JWS already installed? Load the Arena as a Java Application       |
    | Arena Plugins—Information and Downloads   ~~~~~~~~~~~~~~~~这里   |
    ---------------------------------------------------------------------
    把那个"Java Application"拖到桌面上建立一个快捷方式，以后双击就可以直接运行了。客户端启动后有一个窗口，填上申请的username和password，如果是用代理的话，把HTTP Tunneling选上。登陆后就到了主页面。

4.界面简介
  -----------------------------------------------------------------------
  |   Advertisements.............                                       |
  -----------------------------------------------------------------------
  | Main | Lobbies | Options | Practice Rooms | Active Contests | Help ||
  -----------------------------------------------------------------------
  |                                                 | Clock |           |
  -----------------------------------------------------------------------
  | Rating Key | Who's here |                 Chat Area                 |
  |     .      |            |                                           |
  |     .      |            |                                           |
  |     .      |            |                                           |
  |     .      |            |                                           |
  |     .      |            |                                           |
  |------------|            |                                           |
  |  MESSAGES  |            |                                           |
  |------------|            |                                           |
  |LEADER BOARD|            |                                           |
  |------------|            |                                           |
  |            |            |                                           |
  |            |            |-------------------------------------------|
  |            |            | >>_______________________________________ |
  -----------------------------------------------------------------------
                          (宽度太小，缩放了一下:)
  逐部分说明一下：
    Advertisements: No comment.
    Menus:
      Main里可以看在线名单和找人。
      Lobbies基本用不着，因为用户一般都在Chat Room 1
      Options里是一些选项和颜色设置。
      Practice Rooms里有大量的练习，都是以前比赛的题目
      Active Contests只有有比赛的时候才有用。
      Help里是....不用说了吧。
    Rating Key: handle的颜色是随着积分而改变的，这里显示了积分与颜色的关系。
    MESSAGES: 比赛的时候这里有注册提示和clarification。
    LEADER BOARD: 看每个room的最高分。
    Who's here: 当前room里的人。
    Chat Area: 聊天。

5.练习
  在Practice Rooms里随便选择一个room就可以进入practice了。
  界面与主页面稍有变化，但基本相同，略去不画。主要的变化就是Who's here分成了两块，多了一块Who's assigned。这块显示的是谁被分到了这个room。因为是练习区，所以只要是在这里打开过题的都算是assigned。而在正式比赛中room是由tc分配的。这里显示的是被分配到这个room的人。界面上还有一个变化是Chat Area顶上多了三块。最左边的是一个下拉菜单。里面有三个分值，选择后就可以打开相应的题目。中间的summary可以看这个room里每个人的提交情况。
  在practice room里只有coding phase。提交后要判的话需要自己选择Practice Options里的Run System Test。

6.比赛
  每次比赛(除了1年两次的大赛)都需要在赛前3小时-5分钟之间登陆注册方可参加，注册在Active Contest菜单的第一项。一般需要回答一道选择题(多半是调查)才能注册。到剩下5分钟的时候，注册终止，tc开始按照报名者的rating分配room。分配完成后，Active Contest菜单中Register一项变成Enter。选择后可以直接进入你被分配到的room。Active Contest菜单最下面还有一项暗色背景的Room子菜单，可以进入各个room溜达。进入自己room的时候一般离开始只有3分钟左右，静一下心就可以直接开始比赛了。
  coding phase的过程与practice基本相同。注意每题的得分是和用的时间相关，而时间是从你打开该题开始算的。所以一题做完后可以不急着打开下一题，先放松一下。
  75分钟的coding后是5分钟的intermission，这段时间是用来休息和聊天的。
  然后就是最刺激的15分钟challenge phase。打开summary，双击别人的各题Score可以打开那题的程序，如果觉得有错误就可以点左下的Challenge然后输入你认为他会错的数据，成功的话能得到50分，对方该题分数为0；而如果失败了，你会被减去50分。所以若不是考虑成熟或背水一战的话，最好不要随便Challenge。
  Challenge结束后就是System Test。这个过程一般比较慢，可以先走开做其他事。过20分钟再回来看结果。结果出来后再过一段时间就可以看到一系列message比如rating更新了，新的practice room建好了以及可以通过主页查看这次比赛的数据了。

7.注意事项
  a.主页上有一份日历，日历下面的More 2003 Match Dates点进去可以看到最近比赛的时间安排。注意当前我们的时间与他们刚好相差12小时，因此若时间是7月9日9:00 P.M.的话，这里是7月10日9:00 A.M. 还有要注意的是美国有夏令时，非夏令时的时候，还要再加1小时，就是7月10日10:00 A.M.。
  b.Practice Rooms里写的程序只要点SAVE就可以保存，下次login的时候还可以看到，但是比赛时候的程序必须Submit才可以在coding phase结束后保存(coding phase结束前还是只要SAVE就可以的)。
  c.若想cha别人的程序，自己必须是正分(0分也不行)，所以若没有一题有正确的程序但有很好的数据的话，随便交一道看上去正确的程序，然后在challenge的时候快下手，就可以赚到了。
  d.客户端自带的编辑器只有基本的编辑功能和编译及测试功能(连自动缩进都没有)。所以若觉得不方便的话可以使用parser和plugin，tc主页最下面有plugin的连接。因为我没有用过，所以具体方法不详。
  e.tc的FAQ
    http://www.topcoder.com/?&t=support&c=index
  f.最后一条，千万不要作弊，会有严重的后果。

8.代码编写
  tc的程序都不用标准或文件输入和输出的，只要写一个类的一个成员函数。
  输入是参数，输出用return，所以需要stl中的vector和string。
  标准输出可以当调试用。

  比如这题:

  Problem Statement for LeaguePicks
 
  Problem Statement
    You and your friends are setting up a fantasy TopCoder league, where you choose coders to be on your team and score points in the league when any one of your coders wins their room or successfully challenges somebody, etc. To be fair, a system has been developed to choose the order in which picks are distributed. It works like this: first, lots are drawn to choose your position in the league. Then the player with the first position gets first pick, the second player gets second pick, all the way until the last player picks. Then the order reverses: the last player chooses again, then the next to last player, and so on, until you reach the first player again. Then the cycle repeats: the first position chooses again, then the second, and so on.
    For example: say you were in the third position on a 6 player league. You would get the 3rd pick, then you'd wait until the 10th pick (the order would be 1,2,you,4,5,6,6,5,4,you), and then the 15th pick, and so on until there were no more coders to choose. If there were 20 total picks, then you would get pick numbers 3,10,15.
    Not wanting to miss your chance at a pick, your goal is to write a program that tells you what pick numbers you have in the order that you have them. You will receive three ints indicating your position in the league(1 being the first position), the number of friends that are in the league with you, and the number of picks that are being divvied up among the league. You will return an int[] that indicates the picks that you receive in ascending order.

  Definition
    Class: LeaguePicks                         //要写的Class名
    Method: returnPicks                        //要写的Method名
    Parameters: int, int, int                  //输入参数
    Returns: vector <int>                      //返回
    Method signature: vector <int> returnPicks(int position, int friends, int picks) (be sure your method is public)
 
  Notes
  - Note that your position in the league and the pick numbers start at 1 and not 0. This should be clear from the examples.
 
  Constraints
  - position will be between 1 and friends inclusive.
  - friends will be between 1 and 40 inclusive.
  - picks will be between 1 and 40 * friends inclusive.
 
Examples
  略

样例程序：
#include <vector>
using namespace std;
class LeaguePicks //只需要这个类就可以了
{
public:
vector <int> returnPicks(int a,int b,int c) //需要这个method
{
   vector <int> ret;
   int i;
   if (c>=a) ret.push_back (a); else return ret;
   if (c>=2*b-a+1) ret.push_back(2*b-a+1);
   for (i=0;;i++)
      if (ret[i]+2*b<=c) ret.push_back(ret[i]+2*b);
      else return ret;
   return ret;
}
};

放弃美国PhD-校内网-饭否网-美团网

王兴如惯常一样手拿iPad走进美团网会议室见到我们的时候，刚刚录制完电视台的专访节目，他穿了一件深灰色西装上衣，这让他很不自在，平时他总是穿牛仔裤、Polo衫的。在他的员工眼中，美团网创始人的商人形象似乎并不贴切，更像是一个有张娃娃脸的32岁福建大男孩。

王兴会偶尔跟新来的同事聊聊微博，或者新款手机，也会跟人分享iPad上的新程序，大多都是跟自然科学有关，比如北美都有哪些鸟、猫头鹰会发出 什么样的叫声。他每天睡觉前会读书，大多是人物传记和心理推理小说，比如说到《蚕与摩托车维修的艺术》这本书，他会很兴奋地介绍——这是一本如何探究人生 存的意义以及怎样不要探究得过深的小说。
在iPad中，王兴有一个几乎每日都会看看的图表，那是他自己制作的，这张图表浓缩了他创业的整个路线——过去、现在、未来。
在见到王兴之前，外界已经给王兴贴上了很多标签——屡战屡败的创业客、打不死的“小强”、史上最倒霉的创业家……有人说，他是做啥啥不行——校内、海内、饭否，三个网站的创始人，但每个都活不长。但是互联网界大佬们却总会紧盯他的举动，甚至跟随他的脚步。
与他交流时，每每说到“失败”这个词，他都不会多说什么，但内心的乐观基调远大于他曾经历过的一次次失败。更何况，用失败来概括他所经历的未免过于片面。譬如，校内网毕竟让他实现了“第一桶金”的挖掘。
他自己这样总结自己的人生追求：“1997年清华本科生的开学典礼上，校领导致辞时引用了一段他们年轻时的歌词，‘眼前是一望无际的田野，身后 是一排排的厂房，我们的生活就是这样，永远战斗着奔向前方’。今天，我们眼前没有田野，我们身后也不需要厂房，但是我们的生活一样要‘纵情向前’。”
3月4日，美团网迎来成立一周年生日。下个月，王兴和他的800多名员工就要第三次为扩张办公室搬家了。或许，王兴的创业路这才称得上刚刚开始。
与巨人擦身
美团网是王兴的第三次创业，相比前两次的创业经历——社交网络校内网和类微博网站饭否都在初具规模时戛然而止，与巨人擦身而过，一岁的美团还显得太过于幼小。
一切都要从7年前说起。2003年美国出现了facebook代表的社交网络，此时的王兴正在美国特拉华大学电子与计算机工程系攻读博士。社交 网络的出现让王兴有似曾相识之感，“我在清华念电子工程时，学得最认真的一门课是计算机网络。计算机网络是电脑连接电脑，计算机是一个点，网线是线。所以 社交网络出现的时候，我立刻就意识到这是另外一张网，每个点是独立的人，人际关系是线。”
抑制不住这种不谋而合的冲动，王兴中断博士学业回国创办了校内网，走出了创业线路图的第一步，做信息和沟通的服务。
曾经担任过校内网顾问的前雅虎中国总裁谢文回忆称，王兴做校内网的时候只有七八个人，在一套三室一厅的房子里，合伙人就是老乡、同学加上女朋友。
2006年，校内网用户量暴增，而王兴却没钱增加服务器和带宽，此时资金已经成了校内网发展的最大障碍。
谢文告诉记者，当时创业的几个年轻人一共花了100多万，小有局面的校内网也被两个VC看中，但是他们提出如果谢文做CEO的话才愿意投钱，因为不太信任这些“小孩”的经营能力。
谢文却拒绝了王兴诚恳的邀请，这位王兴尊重的老师觉得“有点别扭，像是趁人之危”。无奈之下，王兴将校内转手卖给了千橡集团的陈一舟。在日志中，王兴记录到：“当我们公司已经欠下相当于我个人100个月工资的时候，我们没有太多选择。”
然而谢文透露，虽然卖掉校内网的直接诱因是缺乏资金，但也存在其他的问题。当时创业团队三个核心人物中有两个都不甚坚定，只有王兴是比较坚定的，而且王兴家里还有些钱，即使不融资也可以支持他继续经营。
而此时，谢文接到了雅虎中国总裁的职位，看到团队不坚定，就帮忙做了个决定，卖掉校内网。
“当时如果不是去雅虎，我投一点钱，再融资一部分，也许就是另外一种局面了。”谢文语气中略有惋惜，“不过单就这次创业而言，100多万的投入卖了好几千万，这是太大的成功了，跟上市的意思一样。”
回顾卖掉校内网的经历，王兴说：“在当时的时间节点上来看，跟后来是不一样的，中间还有很多的投入，所以并不觉得是陈一舟白捡了校内，他们还做了很多事情。所以现在去讨论当时的校内值多少钱没有太大的意义。”
虽然王兴可以把校内网继续做大，但是换一个角度看，这次创业也未尝不是给他积累了第一桶金，甚至这其中的经历和教训对这个“小孩”来说都是巨大的收获。
饭否归来
与美团的熙熙攘攘不同，门对门的饭否办公室里则略显冷清，门口贴着两张打印的彩色海报：I’llbeback。与校内网相比，饭否的关停让王兴感到更多的是心有不甘和无可奈何。
2007年初，同是清华校友的穆荣均辞掉了在百度的工作，跟王兴不谋而合地发现了微博客，同年5月，王兴建立中国大陆第一个微博客饭否网。“饭否”二字，体现了微型博客的“唠叨精神”，恰如中国人喜欢见人就唠叨一句“吃饭了吗？”
从注册域名、推广到培养用户，经过一年多的市场培养期，2009年上半年饭否的用户数从年初的30万左右激增到了百万，王兴称之为即将爆发期，却被突然关闭。
王兴告诉记者，饭否当时发展很快，媒体影响力大过于他的实际影响力。其实拥有100万的用户量在中国根本不算多，是很小的一个数量级，但在出现危机性事件的时候，它的媒体影响力能够加速放大，这使得媒体影响力成为一个致命的问题。
505天后，饭否终于重新出现在所有用户面前，然而此时中国微博微博服务的访问用户规模已达到12521.7万人，绝大多数分布在新浪微博。王兴坦然，跟新浪微博的影响力比起来，饭否当然不是一个数量级的。
如果饭否没有不幸“夭折”，是否能像新浪微博一样火爆？
王兴说从不做假设性的回答，但答案很可能仍然是否定的。易观国际分析师董旭告诉记者，新浪和饭否的最大区别是，没有照搬美国的模式，而是给了微博一个新的媒体性的定义，其实是把微博产业媒体化了以后的一个微博产品，从一开始就强调了微博的媒体特性。
谈及重开的饭否如何定位时，王兴称，饭否仍是一个记录和分享的网络工具，强调简单和方便，随时随地记录和分享。饭否的特点就是平等，用户不分加V或者不加V，发布的消息也不分主帖还是跟帖。
美团“长青”？
沿着创业线路图，王兴很自然的走到了商务这个发展节点上，美团出现了。这一切看起来似乎都是妙手偶得，而用王兴最为欣赏的一本书《异类》中的话来说就是：有些事情一定会发生。
王兴指着线路图说，社交网络改变人们沟通的方式、获取信息的方式、休闲娱乐和商务合作的方式，中国的互联网创新模式按照这个路线图一路发展到了今天，这不是巧合，校内网、开心、微博和团购，与其说是学习国外的创新，不如说是用户需求催生的创新。
这次到了电子商务领域，饭否被迫关闭半年后，美团网已经开始启动了。穆荣均回忆说，有一次王兴召集开了次联会，问大家假如明天倒闭了，你会做什么。
如果说校内网的失去换来了创业的第一桶金，而饭否关闭的时候则是亏钱的状态。饭否和美团的未来都还未知，面对过去半年的曲折，这个年轻的创业团队都很动容。
当时，在朋友面前一贯坦然的王兴哭了，从美国回来后他一直在创业的道路上奔波，他可能要休息下。穆荣均也哭了，感慨在这样一个辛苦的节点回味艰辛，而不是有所成果的时候回味，其中还夹杂着委屈和无奈的。
经历了校内网和饭否的挫折之后，在谢文眼里，除了外表比过去老成了一点王兴仍然是个高个子的大男孩，充满了理想和追求，好学、爱思考问题，热爱互联网和新事物，“肯定不是因为想发财才来做互联网的。”
给一个32岁的人定义失败显然过于严苛，管理能力、领导能力以及控制风险的能力在打美团这一仗的时候面临真正的考验，说行还是不行似乎都为时过早。
王兴清晰地记得他在清华读书时的校训是：为祖国健康工作50年。“我25岁回国创业，才走过7年时间，跟很多人相比我才刚刚开始，我觉得跟绝大多数工作7年的人相比，我的学到的东西、经历的事情、各方面的回报跟多数人相比都不少。”
Q&A
经济观察报：团购市场的竞争，接下来会是怎样的局面？
王兴：这个要看阶段，从去年3月4号美团上线，再过两天就一周年了，从百团大战到千团大战，到现在实际上有不少网站难以为续，市场上已经没有那 么多人在做团购了。从刚一开始爆发性的增长到现在的整合沉淀，这个阶段第一梯队比较明显的跟后面的距离在拉大，长期来看团购市场不可能应者通吃，但是很可 能是7:2:1的格局，在很多领域都是如此，搜索、IM和C2C都是如此。
经济观察报：如何在同质化竞争中找到差异化的优势？
王兴：只能说大家做得都不是很好，坦白讲我认为美团还有很大的改进空间，包括服务方面。理想的状态应该是消费者每天在手机上都会收到自己订阅感兴趣的消费领域的团购信息，美团可以提供很精品的商家和深度的折扣。
另一个也同样是在手机上，当消费者想要去看电影的时候可以搜索着附近有哪些电影院，有哪些好的折扣。
其实我们不定义为团购，而是本地电子商务，就是用电子化的方式帮助本地商家完成交易。
经济观察报：有没有想过饭否和美团有交叉的地方？
王兴：有，之所以会做美团网是因为之前我们做的是社会化网络和社会化媒体，我想这个东西会改变生活的很多方面，社交网络会改变人们获取信息的方 式，也会改变人们沟通和娱乐的方式，比如facebook，美国人现在已经不用IM了。另一方面我认为社交网络也会改变人们商务交易的方式。
美团网其实没打什么广告，没花费多少推广费用，他是靠口碑传播，其中很大部分是靠社交媒体。从这个角度出发，美团要充分利用好社交媒体，但不一定要限定在某一个媒体。我们要通过所有的渠道去传播，饭否也好新浪微博也好，开心网、人人网都很好。
经济观察报：这些新的模式好像都是你带到中国来的，如何做到都会比国内早？
王兴：这跟书读百遍其义自现一个道理，因为我对这个领域足够关注，你们有没有看到《异类》这本书，这里面举了很多例子讲到如果你想把一件事情做 到足够好的话你需要花一万个小时的时间去联系，对于社交网络这个事情，我从03年底开始关注，然后持续关注，已经花掉很多时间在这上面。
经济观察报：每次从国外将好的模式带到中国来，您认为国内的资本会认可吗？
王兴：我们的目的从来不是融资，融资只是手段。我只是想把好的产品做出来，改变人们的生活，这个过程中可能需要资金的支持，所以才会去找融资。
经济观察报：怎么能够在恰好的时间点选中对的商业模式拿到中国来？
王兴：看一个东西要看得比别人远，有两点因素，一个是视力好，一个是站的比别人更靠前。可能视力都差不多，但是我们一直在摸索，比别人更靠前一点。
经济观察报：美国更早出现创新是因为思维方式比我们超前吗？
王兴：中国人不比美国人笨，但是美国人也不比中国人笨。为什么他们先发现呢，是因为他们的市场更加成熟，他先走到这个阶段。产品是为了满足用户需求，只有创新的需求出现了，创新的产品才会出现，如果没有需求出现就不会有一个产品来满足他。
美国市场比我们发展得更靠前，用户的需求出现了，于是他们就创新出一种产品来满足。在中国也会出现这样的需求，这时候你能想出一个完全不一样的也很好，如果没有的话，没有必要为了不同而不同。
具体到单个用户，他不介意是新还是不新，只会关心好还是不好。
经济观察报：有人说你善于打天下不善守天下，是否是说您善于开拓不善于管理，您认为呢？
王兴：这可能跟我的性格偏向于重心向前比较有关系，在管理上还需要时间检验，因为之前做的东西规模都很小，管20个人和200个人是不一样的挑战。美团现在600多人，也是我之前没有处理过的事情，蛮有趣的，我喜欢新东西。
经济观察报：管理这么多人应付得过来吗？
王兴：这个公司还在运转，不能说完美，但是大的方向没问题。就像一辆车，只要还能开，刹车没问题，油轮没问题，有点抛锚滴漏也无所谓。
经济观察报：怎么看待失败？有人称你为“连败”创业，你介意吗？
王兴：这跟学校和社会的区别一样，在学校如果你挂科了就会被标注为重修，学校是非常惩罚失败的，但是社会不一样，只要最后做好了，之前的多少次失败都无所谓，所以不要畏惧失败。
我并不介意外界的评价，这是文化的差异，但是我欣喜的看地国内的文化正在向美国的文化转变，对失败更加容忍。来自: 经济观察报

CVPR 2011 papers on the web

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CVPR 2011 papers on the web

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Oral papers

Towards Cross-Cateogory Knowledge Propagation for Learning Visual Concepts

Guo-Jun Qi (ECE, UIUC), Yong Rui (Microsoft Corporation), Qi Tian (University of Texas at San Antonio), Thomas Huang (UIUC)

Smoothly Varying Affine Stitching

Wen Yan Lin (Nus), Siying Liu (i2r.a-star.edu.sg), Yasuyuki Matsushita, Tian Tsong Ng (i2r.a-star.edu.sg)

Real-time Human Pose Recognition in Parts from Single Depth Images (abstract)

Jamie Shotton (Microsoft Research Cambridge), Andrew Fitzgibbon, Mat Cook, Andrew Blake

Online Domain-Adaptation of a Pre-Trained Cascade of Classifiers (PDF)

Vidit Jain (Yahoo! Labs), Eric Learned-Miller

Coupled Information-Theoretic Encoding for Face Photo-Sketch Recognition

Wei Zhang (CUHK), Xiaogang Wang (The Chinese University of Hong Kong), Xiaoou Tang

Image Ranking and Retrieval Based on Multi-Attribute Queries (PDF)

Behjat Siddiquie (University of Maryland), Rogerio Feris, Larry Davis

Glare Encoding of High Dynamic Range Images (project, video)

Mushfiqur Rouf (University of British Columbia), Rafal Mantiuk (Bangor University), Wolfgang Heidrich, Matthew Trentacoste (University of British Columbia), Cheryl Lau (University of British Columbia)

Wide-angle Micro Sensors for Vision on a Tight Budget (project)

Sanjeev Koppal, Todd Zickler, Ioannis Gkioulekas (Harvard University)

Recognizing Human Actions by Attributes

Jingen Liu (UMich)

Space-Time Super-Resolution from a Single Video

Oded Shahar (The Weizmann Institute of Science), Alon Faktor (The Weizmann Institute of Science), Michal Irani

Occlusion Boundary Detection and Figure/Ground Assignment from Optical Flow

Patrik Sundberg (UC Berkeley), Jitendra Malik (UC Berkeley), Michael Maire (California Institute of Technology), Pablo Arbelaez, Thomas Brox (Albert-Ludwigs-University Freiburg)

Accelerated Low-Rank Visual Recovery by Random Projection

Yadong Mu (NUS, Singapore), Jian Dong (NUS, Singapore), Xiaotong Yuan (NUS, Singapore), Shuicheng Yan (NUS, Singapore)

Multiobject Tracking as Maximum Weight Independent Set

William Brendel (Oregon State University), Mohamed Amer (Oregon State University), Sinisa Todorovic

Internal Statistics of a Single Natural Image

Maria Zontak (The Weizmann Institute of Science), Michal Irani

FlowBoost - Appearance Learning from Sparsely Annotated Video

Karim Ali (EPFL), Francois Fleuret (Idiap Research Institute), David Hasler

Scale Invariant cosegmentation for image groups

Lopamudra Mukherjee (Univ of Wisconsin Whitewater), Vikas Singh, Jiming Peng (University of Illinois Urbana Champaign)

Markerless Motion Capture of Interacting Characters Using Multi-view Image Segmentation (PDF)

Yebin Liu (Max Planck Institute), Carsten Stoll (Max-Planck-Institut für Informatik), Juergen Gall, Hans-Peter Seidel (MPI Informatik), Christian Theobalt

Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds

Sudheendra Vijayanarasimhan, Kristen Grauman

Iterative Quantization: A Procrustean Approach to Learning Binary Codes

Yunchao Gong (UNC Chapel Hill), Svetlana Lazebnik (University of North Carolina at Chapel Hill)

Contour Based Joint Clustering of Multiple Segmentations

Daniel Glasner (Weizmann Institute of Science), Shiv Vitaladevuni (Raytheon BBN Technologies), Ronen Basri

From 3D Scene Geometry to Human Workspace

Abhinav Gupta, Scott Satkin (CMU), Alyosha Efros, Martial Hebert

Describing Images: Understanding and Generating Image Descriptions

Girish Kulkarni (Stony Brook University), Visruth Premraj (Stony Brook University), Sagnik Dhar (Stony Brook University), Siming Li (Stony Brook University), Alexander Berg, Yejin Choi (Stony Brook University), Tamara Berg (Stony Brook University)

Sparsity-based Image Denoising via Dictionary Learning and Structural Clustering (PDF, project, code, results)

Weisheng Dong, Xin Li (WVU), Lei Zhang and Guangming Shi

Stacked Convolutional Independent Subspace Analysis for Action Recognition

Quoc Le (Stanford University), Will Zou (Stanford University ), Serena Yeung (Stanford University), Andrew Ng (Stanford University)

Sparse Approximated Nearest Points for Image Set Classification

Yiqun Hu (University of Western Australia), Ajmal Mian (University of Western Australia), Robyn Owens (University of Western Australia)

Intrinsic Dense 3D Surface Tracking

Yun Zeng, Chaohui Wang (Ecole Centrale Paris/INRIA), Yang Wang, David Gu, Dimitris Samaras, Nikos Paragios

Compact Hashing with Joint Optimization of Search Accuracy and Time

Junfeng He (Columbia University), Regunathan Radhakrishnan, Shih-Fu Chang, Claus Bauer

Boundary Preserving Dense Local Regions

Jaechul Kim (University of Texas at Austin), Kristen Grauman

Image Retrieval with Geometry-Preserving Visual Phrases

Yimeng Zhang (Cornell University), Zhaoyin Jia (Cornell University), Tsuhan Chen

Uncovering Vein Patterns from Color Skin Images for Forensic Analysis

Chaoying Tang (Nanyang Technological Univ.), Adams Wai Kin Kong (Nanyang Technological University ), Noah Craft (Los Angeles Biomedical Research Institute)

Rectification and 3D reconstruction of Curved Document Images

Yuandong Tian (Carnegie Mellon University), Srinivasa Narasimhan

Earth Mover’s Prototypes: a Convex Learning Approach for Discovering Activity Patterns in Dynamic Scenes

Elisa Ricci (Fondazione Bruno Kessler), Gloria Zen (Fondazione Bruno Kessler)

Three-Dimensional Kaleidoscopic Imaging

Ilya Reshetouski (Saarland University), Alkhazur Manakov (Saarland University), Hans-Peter Seidel (MPI Informatik), Ivo Ihrke

Scale and Rotation Invariant Matching Using Linearly Augmented Trees

Hao Jiang (Boston College), Tai-Peng Tian (Boston University), Stan Sclaroff (Boston University)

Submodularity beyond submodular energies: coupling edges in graph cuts

Stefanie Jegelka (Max Planck Institute), Jeff Bilmes

From Partial Shape Matching through Local Deformation to Robust Global Shape Similarity for Object Detection

Tianyang Ma (Temple University), LonginJan Latecki

A Non-convex Relaxation Approach to Sparse Dictionary Learning

Jianping Shi (Zhejiang University), Xiang Ren (Zhejiang University), Jingdong Wang, Guang Dai (ZJU), Zhihua Zhang

Analytical Projection Model for Non-Central Catadioptric Cameras with Quadric Mirrors

Amit Agrawal, Yuichi Taguchi (Mitsubishi Electric Research Labs), Srikumar Ramalingam (MERL)

Kernelized Structural SVM Learning for Supervised Object Segmentation (PDF)

Luca Bertelli (Google), Tianli Yu (Google Inc.), Diem Vu (Google Inc.), Salih Gokturk (Google Inc)

A Theory of Differential Photometric Stereo for General Isotropic BRDFs

Jiamin Bai (UC Berkeley), Manmohan Chandraker (UC Berkeley), Ravi Ramamoorthi (UC Berkeley)

Parsing Human Motion with Structured Ensembles of Stretchable Models

Ben Sapp, David Weiss (University of Pennsylvania), Ben Taskar

A Bayesian Approach to Adaptive Video Super Resolution

Ce Liu (Microsoft Research New England), Deqing Sun

Principal Regression Analysis

Jason Saragih (CSIRO)

Discrete-Continuous Optimization for Large-scale Structure from Motion

David Crandall (Indiana University), Andrew Owens (MIT), Noah Snavely, Daniel Huttenlocher

Active Learning for Piecewise Planar 3D Reconstruction (PDF, project, video)

Adarsh Kowdle (Cornell University), Yao-Jen Chang (Cornell University), Andrew Gallagher, Tsuhan Chen

A generative model for 3D urban scene understanding from movable platforms

Andreas Geiger (Karlsruhe Institute of Technology), Martin Lauer (Karlsruhe Institute of Technology), Raquel Urtasun

A Study of Nesterov’s Scheme for Lagrangian Decomposition and MAP Labeling

Bogdan Savchynskyy (Heidelberg University), Jö rg, Kappes (Heidelberg University), Stefan Schmidt (Heidelberg University), Christoph Schnörr

Stable Multi-Target Tracking in Real-Time Surveillance Video

Ben Benfold (University of Oxford), Ian Reid (University of Oxford)

A Coarse-to-fine approach for fast deformable object detection

Marco Pedersoli (Univ. Autònoma de Barcelona), Andrea Vedaldi (Oxford), Jordi Gonzàlez (Univ. Autònoma de Barcelona)

Nonlinear Shape Manifolds as Shape Priors in Level Set Segmentation and Tracking

Victor Prisacariu (University of Oxford), Ian Reid (University of Oxford)

What You Saw is Not What You Get: Domain Adaptation Using Asymmetric Kernel Transforms

Brian Kulis, Kate Saenko, Trevor Darrell (ICSI, UC Berkeley)

Separating Reflective and Fluorescent Components of An Image

Cherry Zhang (University of Waterloo), Imari Sato

Recognition Using Visual Phrases

Ali Farhadi (UIUC), Mohammad Amin Sadeghi (University of Illinois at Urbana-Champaign)

Single-Image Shadow Detection and Removal using Paired Regions

Ruiqi Guo (UIUC), Qieyun Dai (UIUC), Derek Hoiem (UIUC)

Automatic Photo-to-Terrain Alignment for the Annotation of Mountain Pictures

Lionel Baboud (MPI Informatik), Martin Cadik (MPI Informatik), Elmar Eisemann (MPI Informatik, Telecom ParisTech), Hans-Peter Seidel (MPI Informatik)

Cross-View Action Recognition via View Knowledge Transfer

Jingen Liu (UMich)

Robust Tracking Using Local Sparse Appearance Model and K-Selection

Baiyang Liu (Rutgers University), junzhou Huang (Rutgers University, CBIM), Casimir Kulikowski (Rutgers), Lin Yang (UMDNJ)

Intrinsic Images Decomposition Using a Local and Global Sparse Representation of Reflectance

Li Shen (I2R), Chuohao Yeo (i2r.a-star.edu.sg)

Articulated Pose Estimation with Flexible Mixtures-of-Parts

Yi Yang, Deva Ramanan

Poster papers

Efficient approximations to the marginal likelihood in blind deconvolution

Anat Levin (Weizmann Institute of Science), Yair Weiss, Bill Freeman, Fredo Durand (MIT)

Natural Image Denoising: Optimality and Inherent Bounds (Technical report)

Anat Levin (Weizmann Institute of Science), Boaz Nadler (Weizmann Inst of Science)

A Sobolev-type Metric for Polar Active Contours

Maximilian Baust (CAMP, TU Munich), Anthony J. Yezzi, Gozde Unal (Sabanci University), Nassir Navab (CAMP, TU Munich)

Multi-target Tracking by Continuous Energy Minimization

Anton Andriyenko (TU Darmstadt), Konrad Schindler (ETH Zurich)

Are Sparse Representations Really Relevant for Image Classification?

Roberto Rigamonti (EPFL), Matthew Brown (EPFL), Vincent Lepetit

Noise Resistant Graph Ranking for Improved Web Image Search

Wei Liu (Columbia University), Yu-Gang Jiang (Columbia University), Jiebo Luo, Shih-Fu Chang

Learning Effective Human Pose Estimation from Inaccurate Annotation (PDF)

Sam Johnson (University of Leeds), Mark Everingham

Shape Grammar Parsing via Reinforcement Learning (PDF)

Olivier Teboul (Ecole Centrale Paris), Iasonas Kokkinos, Panagiotis Koutsourakis (Ecole Centrale Paris), Loic Simon (ECP), Nikos Paragios

Truncated Message Passing

Justin Domke

Structured Light 3D Scanning Under Global Illumination

Mohit Gupta, Amit Agrawal, Ashok Veeraraghavan, Srinivasa Narasimhan

Adaptive Shape Composition: A New Framework for Shape Prior Modeling

Shaoting Zhang (Rutgers University), junzhou Huang (Rutgers University, CBIM), Yiqiang Zhan (Siemens), Dimitris Metaxas

Entropy Rate Superpixel Segmentation

Ming-Yu Liu (Umd.edu, merl.com), Oncel Tuzel (MERL), Srikumar Ramalingam (MERL), Rama Chellappa (UMD)

Affinity Learning on a Tensor Product Graph with Applications to Shape and Image Retrieval

Xingwei Yang (Temple University), LonginJan Latecki

Scene Shape from Textures of Objects

Nadia Payet (Oregon State University), Sinisa Todorovic

What Makes a Chair a Chair?

Helmut Grabner, Juergen Gall, Luc VanGool

Recovery of Corrupted Low-Rank Matrices via Half-Quadratic based Nonconvex Minimization

Ran He (Institute of Automation Chines), zhenan sun ( Institute of Automation Chinese Academy of Sciences), Tieniu Tan, Wei-Shi Zheng (Queen Mary University of London)

Contextualizing Object Detection and Classification

Zheng Song (National University of Singapo), Qiang Chen (National Univ. of Singapore), Zhongyang Huang (Panasonic Singapore Laboratories), Yang Hua (PSL), Shuicheng Yan

A fully automated greedy square jigsaw puzzle solver

Dolev Pomeranz (Ben Gurion University), Michal Shemesh (Ben Gurion University), Ohad Ben-Shahar (Ben-Gurion University)

Efficient MCMC Sampling with Implicit Shape Representations

Jason Chang (MIT), John Fisher III (MIT)

A Complete Statistical Inverse Ray Tracing Approach to Multi-view Stereo

Shubao Liu (Brown University), David Cooper (Brown University)

A Robust Method for Vector Field Learning with Application to Mismatch Removing

Ji Zhao (Huazhong Univ of Sci&Tech), Ma Jiayi

Optimal Similarity Registration of Volumetric Images

Effrosyni Kokiopoulou (ETH Zurich), Michail Zervos (University of Athens, Department of Informatics and Telecommunications), Daniel Kressner (ETH Zurich, Seminar for Applied Mathematics), Nikos Paragios

Inertial sensor-aligned visual feature descriptors

Daniel Kurz (Metaio), Selim Ben Himane (metaio GmbH)

Visual textures as realizations of multivariate log-Gaussian Cox processes

Huu-Giao Nguyen (Telecom Bretgane), Ronan Fablet (Institut Telecom / Telecom Bretagne), Jean-Marc Boucher (Institut Telecom / Telecom Bretagne)

GraphTrack: Faster than Realtime Tracking in Videos

Brian Amberg (University of Basel), Thomas Vetter

Discriminative Image Warping with Attribute Flow

Weiyu Zhang (University of Pennsylvania), Praveen Srinivasan, Jianbo Shi

Interreflections removal for photometric stereo by using spectrum-dependent albedo

Miao Liao (University of Kentucky), Xinyu Huang (North Carolina Central University), Ruigang Yang (University of Kentucky)

Global Contrast based Salient Region Detection (project, results, software)

Ming-Ming Cheng (Tsinghua University), Guo-Xin Zhang (Tsinghua University), Niloy Mitra (IIT Delhi / KAUST), Xiaolei Huang, Shi-Min Hu (Tsinghua University)

Towards a practical lipreading system

Ziheng Zhou (University of Oulu), Matti Pietik, Guoying Zhao (University of Oulu, Finland)

Multiview Specular Stereo Reconstruction of Large Mirror Surfaces

Jonathan Balzer (KAUST), Sebastian Hoefer, Juergen Beyerer

Unbiased Look at Dataset Bias

Antonio Torralba, Alyosha Efros

Partial similarity based nonparametric scene parsing in certain environment

Honghui Zhang (HKUST), Long Quan

Majorization-Minimization mixture model determination in image segmentation

Giorgos Sfikas (University of Strasbourg), Christophoros Nikou (University of Ioannina), Nikos Galatsanos (University of Patras), Christian Heinrich (University of Strasbourg)

PLS Based Multi-Modal Face Recognition

Abhishek Sharma (University of Maryland CP), David Jacobs (UMIACS)

Exploring Aligned Complementary Image Pair for Blind Motion Deblurring

Wen Li (School of Electronics and Info), Jun Zhang (School of Electronics and Information Engineering, Beihang University), Qionghai Dai (Tsinghua University)

A Branch and Contract Algorithm For Globally Optimal Fundamental Matrix Estimation

Yinqiang Zheng (Tokyo Institute of Technology), Shigeki Sugimoto (Tokyo Institute of Technology), Masatoshi Okutomi

Learning A Discriminative Dictionary for Sparse Coding via Label Consistent K-SVD

Zhuolin Jiang (University of Maryland), Zhe Lin (Adobe Systems, Inc.), Larry Davis

Efficient Subwindow Search with Submodular Score Functions

Senjian An (Curtin University), Patrick Peursum, Wanquan Liu (curtin university), Svetha Venkatesh

Foreground-Background Segmentation using Iterated Distribution Matching

Viet Pham (University of Tokyo), Keita Takahashi (The University of Tokyo), Takeshi Naemura (The University of Tokyo)

Shared Parts for Deformable Part-based Models

Patrick Ott (University of Leeds)

NonLinear Refinement of Structure from Motion Reconstruction by Taking Advantage of a Partial Knowledge of the Environment

Mohamed Tamaazousti (CEA LIST), Vincent Gay-Bellile, Sylvie Naudet Colette (CEA LIST), steve bourgeois, michel dhome

Effective 3D Object Detection and Regression Using Probabilistic Segmentation Features in CT Images

Le Lu (Siemens ), Jinbo Bi (University of Connecticut), Matthias Wolf, Marcos Salganicoff

Submodular Decomposition Framework for Inference in MRF with Global Constraints

Dmitry Vetrov, Anton Osokin (Moscow State University), Vladimir Kolmogorov

Adapting an Object Detector by Considering the Worst Case: a Conservative Approach

Guang Chen (University of MIssouri), TonyX. Han

AdaBoost on Low-Rank PSD Matrices for Metric Learning with Applications in Computer Aided Diagnosis

Jinbo Bi (University of Connecticut), Dijia Wu, Le Lu (Siemens ), Meizhu Liu, Yimo Tao, Matthias Wolf

A Closed Form Solution to Robust Subspace Estimation and Clustering

Paolo Favaro, RenéVidal, Avinash Ravichandran (Johns Hopkins University)

Detection Free Tracking: Exploiting Motion and Topology for Segmenting and Tracking under Entanglement. (PDF)

Katerina Fragkiadaki (University of Pennsylvania), Jianbo Shi

Piecing Together the Segmentation Jigsaw using Context

Xi Chen (University of Maryland), Arpit Jain (University of Maryland), Abhinav Gupta, Larry Davis

Combining Randomization and Discrimination for Fine-Grained Image Categorization

Bangpeng Yao (Stanford University), Aditya Khosla, Li Fei-Fei

Geometric $\ell_p$-norm Feature Pooling for Image Classification

Jiashi Feng (NUS), Bingbing Ni, Qi Tian (University of Texas at San Antonio), Shuicheng Yan

Noise Suppression in Low-Light Images through Joint Denoising and Demosaicing

Priyam Chatterjee (UC Santa Cruz), Neel Joshi, Sing Bing Kang (Microsoft Research), Yasuyuki Matsushita

Fast Cost-Volume Filtering for Visual Correspondence and Beyond

Christoph Rhemann (Vienna University of Technolog), Asmaa Hosni (Vienna University of Technology), Michael Bleyer (Vienna University of Technology), Carsten Rother, margrit Gelautz (Vienna University of Technology)

Hello neighbor: accurate object retrieval with k-reciprocal nearest neighbors

Qin Danfeng (ETH Zurich), Stephan Gammeter (ETH Zurich), Lukas Bossard (ETH Zurich), Till Quack, Luc VanGool

Motion Denoising with Application to Time-lapse Photography

Michael Rubinstein (MIT CSAIL), Ce Liu (Microsoft Research New England), Bill Freeman

Efficient Training for Pairwise or Higher Order MRFs via Dual Decomposition

Nikos Komodakis

Recovering Shape from a Single Image of a Mirrored Surface from Curvature Constraints

Marshall Tappen (UCF)

Instantly Telling What Happens in a Video Sequence Using Light Features

Liang Wang (Harbin Institute of Technology), Yizhou Wang, Tingting Jiang (School of EECS, Peking University), Wen Gao (Peking University)

Locality-Sensitive Support Vector Machine by Exploring Local Feature Correlation for Web Image Annotation

Guo-Jun Qi (ECE, UIUC), Qi Tian (University of Texas at San Antonio), Thomas Huang (UIUC)

Image Annotation via Preferential Random Walk on Bi-relational Graph of Images and Semantic Labels

Hua Wang (Univ. of Texas at Arlington), Heng Huang (University of Texas at Arlington, Department of Computer Science and Engineering), Chris Ding

Learning structured prediction models for interactive image labeling

Thomas Mensink (XRCE), Jakob Verbeek, Gabriela Csurka (XRCE)

Joint Face Alignment with A Generic Deformable Face Model

Cong Zhao (Chinese University of Hong Kon), Wai-Kuen Cham, Xiaogang Wang (The Chinese University of Hong Kong)

Regression-Based Label Fusion for Multi-Atlas Segmentation

Hongzhi Wang (University of Pennsylvania), Jung Wook Suh, John Pluta, Murat Altinay, Paul Yushkevich

Energy Based Multiple Model Fitting for Non-Rigid Structure from Motion

Chris Russell, Joao Fayad (Queen Mary, UoL), Lourdes Agapito

How does Person Identity Recognition Help Multi-Person Tracking?

Cheng-Hao Kuo (USC), Ram Nevatia

Aggregating Gradient Distributions into Intensity Orders: A Novel Local Image Descriptor

Bin Fan, Fuchao Wu, Zhanyi Hu

Multi-agent event recognition in structured scenarios

Vlad Morariu (University of Maryland), Larry Davis

Establishing Feature Correspondences via Hyper-graph Matching Using Reweighted Random Walks

Jungmin Lee (Seoul National University), Minsu Cho, Kyoung Mu Lee (Seoul National Uniersity)

High-quality shape from multi-view stereo and shading under general illumination

Chenglei Wu (Max Planck Institut Informatik), Bennett Wilburn, Yasuyuki Matsushita, Christian Theobalt

Predicting Image Matching using Affine Distortion Models

Daniel Fleck (American University), Zoran Duric

Sparse Concept Coding for Visual Analysis

Deng Cai, Xiaofei He

Fast and High-Performance Template Matching Method

Alexander Sibiryakov (Mitsubishi Electric)

High-Frequency Shape and Albedo from Shading using Natural Image Statistics (PDF)

Jonathan Barron (UC Berkeley), Jitendra Malik (UC Berkeley)

Robust Sparse Coding for Face Recognition

Meng Yang (The Hong Kong Polytechnic University), Lei Zhang (The Hong Kong Polytechnic University)

Foreground Segmentation of Live Videos using Locally Competing 1SVMs

Minglun Gong, Li Cheng (Bioinformatics Institute)

Extracting Vanishing Points across Multiple Views

Michael Hornacek (VRVis Research Center), Stefan Maierhofer (VRVis)

Multifactor Analysis Based on Factor-Dependent Geometry

Sung Won Park (Carnegie Mellon University)

Object Association Across PTZ Cameras using Logistic MIL

Karthik Sankaranarayanan (Ohio State University), Jim Davis

Query-Specific Visual Semantic Spaces for Web Image Re-ranking

Ke Liu (CUHK), Xiaogang Wang (The Chinese University of Hong Kong)

Non-negative Local Coordinate Factorization for Image Representation

Yan Chen (Zhejiang University), Xiaofei He

Discriminative Tag Learning on YouTube Videos with Latent Sub-tags (PDF)

Weilong Yang (Simon Fraser University), George Toderici (Google Inc.)

Simultaneous Dimensionality Reduction and Human Age Estimation via Kernel Partial Least Squares Regression

Guodong Guo, Guowang Mu (Hebei University of Technology)

Symmetric Piecewise Planar Object Reconstruction from a Single Image

Tianfan XUE (IE Department, CUHK), Jianzhuang LIU (CUHK)

Fast Unsupervised Ego-Action Learning for First-person Sports Videos

Kris Kitani (UCSD), Yoichi Sato, Takahiro Okabe, Akihiro Sugimoto (NII)

action recognition by dense trajectories

Heng Wang (Chinese Academy of Sciences), Alexander Kläser, Cordelia Schmid, Cheng-Lin Liu (CASIA)

Gated Classifiers: Boosting under High Intra-Class Variation

Oscar Danielsson (KTH), Babak Rasolzadeh (KTH), Stefan Carlsson (KTH)

Radiometric Calibration by Transform Invariant Low-rank Structure

Joon-Young Lee (KAIST), Boxin Shi (The University of Tokyo), Yasuyuki Matsushita, InSo Kweon, Katsushi Ikeuchi

Registration for 3D Surfaces with Large Deformations Using Quasi-Conformal Curvature Flow

Wei Zeng (Stony Brook University), David Gu

Proposal Generation for Object Detection using Cascaded Ranking SVMs

Ziming Zhang (Oxford Brookes University), Jonathan Warrell, Philip Torr (Oxford Brookes University)

Clues from the Beaten Path: Location Estimation with Bursty Sequences of Tourist Photos (project)

Chao-Yeh Chen (University of Texas at Austin), Kristen Grauman

Learning photographic global tonal adjustments with a database of input/output image pairs

Vladimir Bychkovsky (MIT / CSAIL), Sylvain Paris, Eric Chan (Adobe Systems Inc.), Fredo Durand (MIT)

Enhancing by Saliency-guided Decolorization

Codruta Ancuti (Hasselt University), Cosmin Ancuti (Hasselt University), Philippe Bekaert (Hasselt University)

From Co-saliency to Co-segmentation: An Efficient and Fully Unsupervised Energy Minimization Model

Kai-Yueh Chang (National Tsing Hua University), Tyng-Luh Liu, Shang-Hong Lai (NTHU)

Optimal Spatio-Temporal Path Discovery for Video Event Detection and Localization

Du Tran (NTU), Junsong Yuan (Nanyang Technological University)

Continuously Tracking and See-through Occlusion Based on A New Hybrid Synthetic Aperture Imaging Model

Tao Yang (Nrothwestern Polytechnic Univ.), Yanning Zhang (NWPU), Xiaomin Tong (School of Computer Science, Northwestern Polytechnical University), Xiaoqiang Zhang (School of Computer Science, Northwestern Polytechnical University), Rui Yu (School of Computer Science, Northwestern Polytechnical University)

High Resolution Multispectral Video Capture with a Hybrid Camera System

Xun Cao (Tsinghua University), Xin Tong, Qionghai Dai (Tsinghua University), Stephen Lin

A Polar Representation of Motion and Implications for Optical Flow

Yair Adato (Ben Gurion ), Todd Zickler, Ohad Ben-Shahar (Ben-Gurion University)

Minimum Error Bounded Efficient L1 Tracker with Occlusion Detection (PDF)

Xue Mei, Haibin Ling, Yi Wu (Temple University)

An $L_1$-based variational model for Retinex theory and its application to medical images

Wenye Ma (UCLA), Jean-Michel Morel (CMLA), Stanley Osher (UCLA), Aichi Chien (UCLA)

Simulating Human Saccadic Scanpaths on Natural Images

Wei Wang (Graduate University of Chinese Academy and Sciences), Cheng Chen, Yizhou Wang, Tingting Jiang (School of EECS, Peking University), Fang Fang, Yuan Yao

Time and Space Efficient Spectral Clustering via Column Sampling

Mu Li (Shanghai Jiao Tong University), Xiao-Chen Lian, James Kwok (HKUST), Bao-Liang Lu

Spatial-DiscLDA for Visual Recognition

Zhenxing Niu (Xidian university), Gang Hua, Xinbo Gao, Qi Tian (University of Texas at San Antonio)

Least Squares Surface Reconstruction from Gradients: Direct Algebraic Methods with Spectral, Tikhonov, and Constrained Regularization

Matthew Harker (University of Leoben), Paul O'Leary (University of Leoben)

A Two-Stage Denoising Approach for Seeing ThroughWater Clearly

Omar Oreifej (University of Central Florida), Guang Shu (University of Central Florida), Teresa Pace (University of Central Florida), Mubarak Shah

CrossTrack: Robust 3D Tracking from Two Cross-Sectional Views

Mohamed Hussein, Fatih Porikli

A Deformation and Lighting Insensitive Metric for Face Recognition

Anne Jorstad (University of Maryland), David Jacobs, Alain Trouvé (Ecole Normale Superieure de Cachan)

Constructing Image Panoramas using Dual-Homography Warping

Junhong GAO (NUS), Michael Brown, Seon Joo Kim

Sparse Reconstruction Cost for Abnormal Event Detection

Yang Cong (Nanyang Technological of Unive), Junsong Yuan (Nanyang Technological University), Ji Liu (University of Wisconsin-Madison)

Scenario-Based Video Event Recognition by Constraint Flow

Suha Kwak (POSTECH), Bohyung Han (POSTECH), Joon Han (POSTECH)

Ordinal Hyperplanes Ranker with Cost Sensitivities for Age Estimation

Kuang-Yu Chang (Academia Sinica), Chu-Song Chen, Yi-Ping Hung (NTU)

Global temporal registration of multiple non-rigid surface sequences

Peng Huang (University of Surrey), Adrian Hilton, Chris Budd (University of Surrey)

Collaborative Personalization of Image Enhancement

Juan Caicedo (Universidad Nacional de Colomb), Ashish Kapoor, Sing Bing Kang (Microsoft Research)

Learning Temporally Consistent Rigidities

Jean-Sebastien Franco (Grenoble Universities), Edmond Boyer

Scalable Multi-class Object Detection

Nima Razavi (ETH Zurich), Juergen Gall, Luc VanGool

Scene Flow Estimation by Growing Correspondence Seeds

Jan Cech (INRIA), Jordi Sanchez-Riera (INRIA), Radu Horaud

Pose-Robust Recognition of Low-Resolution Face Images

Soma Biswas (University of Notre Dame), Gaurav Aggarwal, Patrick Flynn

Learning to Recognize Objects in Egocentric Activities

Alireza Fathi (Georgia Institute of Technolog), Xiaofeng Ren, James Rehg

Importance Filtering for Image Retargeting

Yuanyuan Ding (Epson Research and Development), Jing Xiao (Epson R&D)

Learning a Blind Measure of Perceptual Image Quality

Huixuan Tang (University of Toronto), Neel Joshi, Ashish Kapoor

A Scalable Dual Approach to Semidefinite Metric Learning

Chunhua Shen (NICTA), Junae Kim (Australian National University), Lei Wang (Australian National University)

Making the Right Moves: Guiding Alpha-Expansion using Local Primal-Dual Gaps

Dhruv Batra, Pushmeet Kohli

Finding the Weakest Link in Person Detectors

Devi Parikh, Larry Zitnick

Interactively Building a Discriminative Vocabulary of Nameable Attributes

Devi Parikh, Kristen Grauman

Inference for Order Reduction in MRFs

Andrew Gallagher, Dhruv Batra, Devi Parikh

Learning and Matching Multiscale Template Descriptors for Real-Time Detection, Localization and Tracking

Taehee Lee (UCLA), Stefano Soatto

Multi-layer Group Sparse Coding -- for Concurrent Image Classification and Annotation

Shenghua Gao (Nanyang Technological Univ.), Liang-Tien Chia (Nanyang Technological University), Ivor W. Tsang

Topologically-Robust 3D Shape Matching Based on Diffusion Geometry and Seed Growing

Avinash Sharma (INRIA), Radu Horaud, Jan Cech (INRIA), Edmond Boyer

Fusion of GPS and Structure-from-Motion using Constrained Bundle Adjustments

Maxime Lhuillier

High-resolution Hyperspectral Imaging via Matrix Factorization

Rei Kawakami, John Wright, Yu-Wing Tai (KAIST), Yasuyuki Matsushita, Moshe Ben-Ezra (Microsoft Research Asia), Katsushi Ikeuchi

Real Time Head Pose Estimation with Random Regression Forests

Gabriele Fanelli (ETHZ), Juergen Gall, Luc VanGool

Random Field Topic Model for Semantic Region Analysis in Crowded Scenes from Tracklets

Bolei Zhou (CUHK), Xiaogang Wang (The Chinese University of Hong Kong)

Edgel Inverted Index for Large-Scale Sketch-based Image Search

Yang Cao (Shanghai Jiao Tong University), Wang Changhu (microsoft), Zhang Liqing (Shanghai Jiao Tong University), Lei Zhang (Microsoft Research Asia)

Rank-SIFT: Learning to Rank Local Interest Points

Bing Li (Shanghai JiaoTong Univerisity), Rong Xiao, Zhiwei Li (Microsoft), Rui Cai (Microsoft Research, Asia), Bao-Liang Lu, Lei Zhang (Microsoft Research Asia)

Semantic structure from motion

Sid Ying-Ze Bao (University of Michigan), Silvio Savarese

High Precision localization System with Visual Landmarks Fused With Range Data

Zhiwei Zhu (Sarnoff Corporation)

A Novel Parametrization of the Perspective-Three-Point Problem for a Direct Computation of Absolute Camera Position and Orientation

Laurent Kneip (ETH Zurich), Davide Scaramuzza, Roland Siegwart (ETH Zurich)

Estimating Motion and Size of Moving Non-Line-of-Sight Objects in Cluttered Environments

Rohit Pandharkar (MIT), Andreas Velten (MIT), Andrew Bardagjy (MIT), Ramesh Raskar, Moungi Bawendi, Ahmed Kirmani, Everett Lawson (MIT)

High Level Describable Attributes for Predicting Aesthetics and Interestingness

Sagnik Dhar (Stony Brook University), Vicente Ordonez (Stony Brook University), Tamara Berg (Stony Brook University)

Who are you with and where are you Going?

Kota Yamaguchi (Stony Brook University), Alexander Berg,Luis Ortiz, Tamara Berg (Stony Brook University)

Using Global Bag of Features Models in Random Fields for Joint Categorization and Segmentation of Objects

Dheeraj Singaraju, RenéVidal

Joint Segmentation and Classification of Human Actions in Video

MinhHoai Nguyen, Zhen-zhong Lan (Carnegie Mellon University), Fernando DelaTorre

Face Image Retrieval by Shape Manipulation

Brandon Smith (University of Wisconsin-Madiso), Shengqi Zhu (University of Wisconsin-Madison), Li Zhang

Adequate Reconstruction of Transparent Objects on a Shoestring Budget

Sai-Kit Yeung (UCLA), Tai-Pang Wu, Chi-keung Tang, Tony F. Chan (HKUST), Stanley Osher (UCLA)

Face Illumination Transfer through Edge-preserving Filters

Xiaowu Chen (Beihang University), Mengmeng Chen (Beihang University), Xin Jin (Beihang University), Qinping Zhao (Beihang University)

Visual and Semantic Similarity in ImageNet

Thomas Deselaers (ETH Zurich/Google), Vittorio Ferrari

Learning Transformation Invariant Representations from weakly-related Videos

Christian Leistner (icg tugraz), Martin Godec, Samuel Schulter, Manuel Werlberger, Amir Saffari, Horst Bischof

Mining Discriminative Co-occurrence Patterns for Visual Recognition

Junsong Yuan (Nanyang Technological University), Ming Yang (NEC Laboratories America), Ying Wu (Northwestern University)

Large-scale image classification: fast feature extraction and SVM training

Yuanqing Lin (NEC Labs America), Fengjun Lv (NEC Labs America), Shenghuo Zhu (NEC Laboratories America), Ming Yang (NEC Laboratories America), Timothee Cour (NEC Labs America), Kai Yu, Liangliang Cao (UIUC), Thomas Huang (UIUC)

Blur kernel estimation using the Radon Transform

Taeg Sang Cho (MIT CSAIL), Sylvain Paris, Bill Freeman, Berthold Horn (MIT CSAIL)

Global Stereo Matching Leveraged by Sparse Ground Control Points

Liang Wang, Ruigang Yang (University of Kentucky)

Correspondence Driven Adaptation for Human Profile Recognition

Ming Yang (NEC Laboratories America), Shenghuo Zhu (NEC Laboratories America), Fengjun Lv (NEC Laboratories America), Kai Yu

Translation Symmetry Detection in a Fronto-parallel View

Peng ZHAO (HKUST), Long Quan

Real-time visual tracking with compressed sensing

Hanxi Li (ANU), Chunhua Shen (NICTA), Qinfeng Shi (University of Adelaide)

Image Classification by Non-Negative Sparse Coding, Low-Rank and Sparse Decomposition

Chunjie Zhang (Institute of Automation), Jing Liu, Qi Tian (University of Texas at San Antonio), changsheng Xu, Hanqing Lu, Songde Ma

Max-margin Clustering: Detecting Margins from Projections of Points on Lines

Raghuraman Gopalan (University of Maryland), Jagan Sankaranarayanan

Affine-invariant diffusion geometry for the analysis of deformable 3D shapes (Technical report)

Dan Raviv (Technion), Alexander Bronstein (Dept. of Electrical Engineering, Tel Aviv University, Israel), Michael Bronstein (University of Lugano), Ron Kimmel (Technion - IIT), Nir Sochen

Nonnegative Sparse Coding for Discriminative Semi-supervised Learning

Ran He (Institute of Automation Chines), Wei-Shi Zheng (Queen Mary University of London)

Random Forest Voting for Fast Action Search

Gang YU (Nanyang technological Univ), Junsong Yuan (Nanyang Technological University), Zicheng Liu

Wavelet Belief Propagation for Large Scale Inference Problems

Ruxandra Lasowski (Max Planck Institute Informatik), Art Tevs (Max Planck Institute Informatik), Michael Wand (Max Planck Institute Informatik), Hans-Peter Seidel

A pattern framework driven by the Hamming distance for structured light-based reconstruction with a single image

Xavier Maurice (Univsersity of Strasbourg)

Probabilistic Event Logic for Interval-Based and Holistic Event Recognition

William Brendel (Oregon State University), Alan Fern (Oregon State University), Sinisa Todorovic

Non-negative Matrix Factorization as a Feature Selection Tool for Maximum Margin Classifiers

Mithun Gupta (GE), Jing Xiao (Epson R&D)

Action Recognition with Multiscale Spatio-Temporal Contexts

Jiang Wang (Northwestern University), Zhuoyuan Chen (Northwestern University), Ying Wu (Northwestern University)

An Associate-Predict Model for Face Recognition

Qi Yin, Jian Sun, Xiaoou Tang

A Global Sampling Method for Alpha Matting

Kaiming He (CUHK), Christoph Rhemann (Vienna University of Technolog), Carsten Rother, Xiaoou Tang, Jian Sun

Segment an Image by Looking into an Image Corpus

Xiaobai Liu (Hust.edu.cn), Jiashi Feng (NUS), Shuicheng Yan, Hai Jin (hust.edu.cn)

Connecting Non-Quadratic Variational Models and MRFs

Kevin Schelten (TU Darmstadt), Stefan Roth

Tag Localization with Spatial Correlations and Joint Group Sparsity

Yang Yang (The University of Queensland), Yi Yang (The University of Queensland), Zi Huang (The University of Queensland), Heng Tao Shen (The University of Queensland), Feiping Nie (University of Texas, Arlington)

PClines - Line Detection Using Parallel Coordinates

Markéta Dubská(Brno University of Technology), Adam Herout (Brno University of Technology), JiríHavel (Brno University of Technology)

Tracking 3D Human Pose with Large Root Node Uncertainty

Ben Daubney (Swansea), Xianghua Xie (Swansea)

Enforcing topological constraints in random field image segmentation

Chao Chen (IST Austria), Daniel Freedman (HP Labs Israel), Christoph Lampert (I.S.T. Austria)

High-Dimensional Signature Compression for Large-Scale Image Classification

Jorge Sanchez (CIII), Florent Perronnin

Asymmetric Distances for Binary Embeddings

Albert Gordo (CVC / XRCE), Florent Perronnin

Saliency Estimation Using a Non-Parametric Low-Level Vision Model (PDF)

Naila Murray (Computer Vision Centre), Maria Vanrell, Xavier Otazu, C. Alejandro Parraga

High Quality Intrinsic Images Using Optimization

Jianbing Shen (Beijing Institute ofTechnology), Xiaoshan Yang (Beijing Institute of Technology)

Evaluation of Background Subtraction Techniques for Video Surveillance

Sebastian Brutzer, Benjamin Hoeferlin (University of Stuttgart), Gunther Heidemann (University of Stuttgart)

Unsing Ripley's K-function to Improve Graph-Based Clustering Techniques

Kevin Streib (Ohio State University), Jim Davis

Shape Estimation in Natural Illumination

Micah Johnson, Edward Adelson (MIT)

Online Environment Mapping

Jongwoo Lim, Jan-Michael Frahm, Marc Pollefeys

Line-Based Relative Pose Estimation

Ali Elqursh (Rutgers University), Ahmed Elgammal

Generalized Projection Based M-Estimator: Theory and Applications (PDF)

Sushil Mittal (Rutgers University), Saket Anand (Rutgers University), Peter Meer (Rutgers University)

Efficient Track Linking Methods for Track Graphs Using Network-flow and Set-cover Techniques

Zheng Wu (Boston University), Margrit Betke, Thomas Kunz (Boston University)

Hierarchical Semantic Indexing for Large Scale Image Retrieval

Jia Deng (Princeton University), Alexander Berg (Stony Brook University), Li Fei-Fei

Learning to Find Occlusion Regions (PDF, project, video, supplementary material)

Ahmad Humayun (UCL), Oisin Mac Aodha (UCL), Gabriel Brostow

Learning Hierarchical Poselets for Human Parsing (PDF (Draft version))

Yang Wang, Duan Tran (UIUC), Zicheng Liao (UIUC)

Learning Non-Local Range Markov Random Field for Image Restoration

Sun Jian (Xi'an Jiaotong University), Marshall Tappen

Blind Deconvolution Using A Normalized Sparsity Measure

Dilip Krishnan (New York University), Rob Fergus

Supervised Hypergraph Labeling

Toufiq Parag, Ahmed Elgammal

Learning the Easy Things First: Self-Paced Visual Category Discovery (project)

Yong Jae Lee (University of Texas at Austin), Kristen Grauman

Online Detection of Unusual Events in Videos via Dynamic Sparse Coding

Bin Zhao (Carnegie Mellon University), Li Fei-Fei, Eric Xing

Auto Directed Video Stabilization with Robust L1 Optimal Camera Paths (PDF, blog post, videos, demo)

Matthias Grundmann, Vivek Kwatra, Irfan Essa

From Region Similarity to Category Discovery

Carolina Galleguillos (U.C San Diego), Brian McFee (U.C San Diego), Serge Belongie (UCSD), Gert Lanckriet (U.C San Diego)

Deformation and Illumination Invariant Feature Point Descriptor

Francesc Moreno (Institut de Robotica i Informatica Industrial (UPC/CSIC))

Object Cosegmentation

Sara Vicente (UCL), Carsten Rother, Vladimir Kolmogorov

Probabilistic Simultaneous Pose and Non-Rigid Shape Recovery

Francesc Moreno (Institut de Robotica i Informatica Industrial (UPC/CSIC)), Josep Porta (Institut de Robotica i Informatica Industrial (CSIC-UPC))

Projective Alignment of Range and Parallax Data

Miles Hansard (INRIA Rhone-Alpes), Radu Horaud, Michel Amat (INRIA Rhone-Alpes), Seungkyu Lee (SAIT)

Relative pose problem for non-overlapping surveillance cameras with known gravity vector (PDF)

Branislav Micusik

Particle Filter with State Permutations for Solving Image Jigsaw Puzzles

Xingwei Yang (Temple University), Nagesh Adluru, LonginJan Latecki

An Analysis of Using High-Frequency Sinusoidal Illumination to Measure the 3D Shape of Translucent Objects

Michael Holroyd (University of Virginia), Jason Lawrence (University of Virginia)

Tracking Low Resolution Objects by Metric Preservation

Nan Jiang (HUST), Wenyu Liu (Huazhong University of Science and Technology), Ying Wu (Northwestern University), Heng Su (Tsinghua University)

Learning invariance through imitation

Graham Taylor, Ian Spiro (New York University), Rob Fergus, Christoph Bregler (NYU)

Aesthetic Quality Classification of Photographs Based on Color Harmony

Masashi Nishiyama (University of Tokyo), Takahiro Okabe, Imari Sato, Yoichi Sato

Modeling the joint density of two images under a variety of transformations

Joshua Susskind (University of Toronto), Roland Memisevic, Geoffrey Hinton (University of Toronto), Marc Pollefeys

P2C2: Programmable Pixel Compressive Camera for High Speed Imaging.

Dikpal Reddy (University of Maryland), Ashok Veeraraghavan

Sharing Features Between Objects and Their Attributes

Sung Ju Hwang, Fei Sha, Kristen Grauman

RUNE-Tag: a High Accuracy Fiducial Marker with Strong Occlusion Resilience

Filippo Bergamasco (UniversitàCa'Foscari Venezia), Andrea Albarelli, Andrea Torsello, Emanuele Rodola (UniversitàCa'Foscari Venezia)

Efficient Region Search for Object Detection

Sudheendra Vijayanarasimhan, Kristen Grauman

Where's Waldo: Matching People in Images of Crowds (PDF, project, supplementary material)

Rahul Garg (University of Washington), Deva Ramanan, Steve Seitz, Noah Snavely

Monocular 3D Scene Understanding with Explicit Occlusion Reasoning

Christian Wojek (Max-Planck-Institute Informatics), Stefan Walk (TU Darmstadt), Stefan Roth, Bernt Schiele (MPI Informatics)

Camera Calibration with Lens Distortion from Low-rank Textures (PDF)

Zhengdong Zhang (Microsoft Research Asi), Yasuyuki Matsushita, Yi Ma

Structure from motion for scenes with large duplicate structures

Richard Roberts (Georgia Institute of Technology), Sudipta Sinha, Richard Szeliski, Drew Steedly

Capturing Time-of-Flight Data with Confidence (draft PDF, project)

Malcolm Reynolds (University College London), Jozef Doboš (University College London), Leto Peel (BAE Systems), Tim Weyrich (University College London), Gabriel Brostow

Repetition-based Dense Single-View Reconstruction (PDF)

Changchang Wu (University of Washington at Se), Changchang Wu (University of Washtingon at Seattle), Jan-Michael Frahm, Marc Pollefeys

Multicore Bundle Adjustment

Changchang Wu (University of Washington at Se), Changchang Wu (University of Washtingon at Seattle), Sameer Agarwal, Brian Curless (University of Washtingon at Seattle), Steve Seitz

Learning-based Hypothesis Fusion for Robust Catheter Tracking in 2D X-ray Fluoroscopy

Wen Wu (Siemens Corporate Research), Terrence Chen (Siemens Corporate Research), Adrian Barbu, Peng Wang (Siemens Corporate Research), Norbert Strobel, Shaohua Zhou, Comaniciu Dorin

A Direct Formulation for Totally-corrective Multi-class Boosting

Chunhua Shen (NICTA), Zhihui Hao

Modeling Human Activities as Speech

Chia-Chih Chen (UT ECE), Jake Aggarwal

Is face recognition really a Compressive Sensing problem?

Qinfeng Shi (The University of Adelaide), Anders Eriksson (University of Adelaide), Anton vandenHengel, Chunhua Shen (NICTA)

Matching 2D Image Lines to 3D Models: Two Improvements and a New Algorithm

Behzad Kamgar-Parsi (ONR)

Abnormal Detection Using Interaction Energy Potentials

Xinyi Cui (Rutgers University), Qingshan Liu (Rutgers University), Mingchen Gao (Rutgers University), Dimitris Metaxas

Face Recognition with Large Pose Variation

Carlos Castillo, David Jacobs

Non-Rigid Structure from Motion with Complementary Rank-3 Spaces

Paulo Gotardo (The Ohio State University), Aleix Martinez

Feature Guided Motion Artifact Reduction with Structure-Awareness in 4D CT Images

Dongfeng Han (UI), John Bayouth (UI), Qi Song, sudershan Bhatia (UI), Milan Sonka, Xiaodong Wu

Identifying Players in Broadcast Sports Videos using Conditional Random Fields

Wei-Lwun Lu (University of British Columbia), Jo-Anne Ting (University of British Columbia), Kevin Murphy, Jim Little

sLLE: Spherical Locally Linear Embedding with Applications to Tomography

YiFang (Purdue University), S.V.N. Vishwanathan (Purdue University), Mengtian Sun (Purdue University), Karthik Ramani (Purdue University)

Graph Embedding Discriminant Analysis on Grassmannian Manifolds for Improved Image Set Matching

Mehrtash Harandi (NICTA), Sareh Shirazi (National ICT Australia (NICTA)), Conrad Sanderson (National ICT Australia (NICTA)), Brian Lovell

Multiview Registration via Graph Diffusion of Dual Quaternions

Andrea Torsello, Emanuele Rodola (UniversitàCa'Foscari Venezia), Andrea Albarelli

Face Recognition in Unconstrained Videos with Matched Background Similarity

Lior Wolf, Tal Hassner, Itay Maoz (Tel-Aviv University)

Exhaustive Family of Energies Minimizable Exactly by a Graph Cut and Approximations of the Other Ones

Guillaume Charpiat (INRIA)

An effective document image deblurring algorithm

Xiao-gang Chen (Shanghai Jiao Tong University ), Xiangjian He (University of Technology, Syd), Jie Yang (Shanghai Jiaotong University), Qiang Wu (UTS)

Reduced Epipolar Cost for Accelerated Incremental SfM

Antonio Rodríguez (Universidad de Murcia), Pedro Enrique López-De-Teruel (University of Murcia), Alberto Ruiz (University of Murcia)

Learning Image Vicept Description via Mixed-Norm Regularization for Large Scale Semantic Image Search

Liang LI (ICT, CAS), Shuqiang Jiang, Qingming Huang (Graduate Univ of Chinese Academy of Sciences)

A Hierarchical Conditional Random Field Model for Labeling and Segmenting Images of Street Scenes

Qixing Huang (Stanford University), Mei Han, Bo Wu, Sergey Ioffe

Extracting and Locating Temporal Motifs in Video Scenes Using a Hierarchical Non Parametric Bayesian Model

Rémi Emonet (Idiap), Jagannadan Varadarajan (Idiap), Jean-Marc Odobez (Idiap)

Total Variation for Cyclic Structures

Evgeny Strekalovskiy (Technical University Munich), Daniel Cremers

Learning People Detection Models from Few Training Samples

Leonid Pishchulin (MPI Informatics), Christian Wojek (Max-Planck-Institute Informatics), Arjun Jain, Thorsten Thormaehlen (MPI Informatics), Bernt Schiele (MPI Informatics)

Vehicle Tracking Across Nonoverlapping Cameras Using Joint Kinematic and Appearance Features

Bogdan Matei, Harpreet Sawhney (SRI International Sarnoff), Supun Samarasekera (Sarnoff Corporation)

Topology-adaptive Multi-view Photometric Stereo

Yusuke Yoshiyasu (Keio University)

The Magic Sigma

Dirk Padfield (GE Global Research)

Object Stereo - Joint Stereo Matching and Object Segmentation

Michael Bleyer (Vienna University of Technology), Carsten Rother, Pushmeet Kohli, Daniel Scharstein, Sudipta Sinha

Functional Categorization of Objects using Real-time Markerless Motion Capture (PDF)

Juergen Gall, Andrea Fossati, Luc VanGool

Graph Matching through Entropic Manifold Alignment

Francisco Escolano (University of Alicante), Edwin Hancock, Miguel Lozano (University of Alicante)

Hybrid Generative-Discriminative Classification using Posterior Divergence

Xiong Li (Shanghai Jiao Tong University), Tai Sing Lee (Department of Computer Science, Carnegie Mellon University), Yuncai Liu (Department of Automation, Shanghai Jiao Tong University)

Illumination Estimation and Cast Shadow Detection through a Higher-order Graphical Model

Alexandros Panagopoulos (Stony Brook University), Chaohui Wang (Ecole Centrale Paris/INRIA), Dimitris Samaras, Nikos Paragios

A Large-scale Benchmark Dataset for Event Recognition in Surveillance Video

Sangmin Oh, Anthony Hoogs, A.G.Amitha Perera, Chia-Chih Chen (UT ECE), Jong Taek Lee (The University of Texas at Austin), Jake Aggarwal, Hyungtae Lee (University of Maryland, College Park), Larry Davis, Xiaoyang Wang (Rensselaer Polytechnic Institute), Eran Swears (RPI), Qiang Ji, Kishore Reddy (University Of Central Florida), Mubarak Shah, Carl Vondrick (University of California, Irvi), Hamed Pirsiavash, Deva Ramanan, Jenny Yuen (MIT), Antonio Torralba, Bi Song (UCR), Anesco Fong (Univ. of California, Riverside), Amit Roy-Chowdhury, Mita Desai (DARPA)

Learning Affinities and Dependencies for Multi-Target Tracking using a CRF Model

Bo Yang (USC), Chang Huang (University of Southern California), Ram Nevatia

2D Nonrigid Partial Shape Matching Using MCMC and Contour Subdivision

Yu Cao (University of South Carolina), Zhiqi Zhang (University of South Carolina), Irina Czogiel (Max Planck Institute for Molecular Genetics), Ian Dryden (University of South Carolina), Song Wang

A Multichannel Edge-Weighted Centroidal Voronoi Tessellation Algorithm for 3D Superalloy Image Segmentation

Yu Cao (University of South Carolina), Lili Ju (University of South Carolina), Qin Zou (University of South Carolina), Chengzhang Qu (Wuhan University, China), Song Wang

Using 3D Scene Structure to Improve Tracking

Jan Prokaj (Univ of Southen California), Gerard Medioni

Structure from motion blur in low light

Yali Zheng (Chongqing University), Shohei Nobuhara (Kyoto University), Yaser Sheikh

Combining attributes and Fisher vectors for efficient image retrieval

Matthijs Douze, Arnau Ramisa (INRIA), Cordelia Schmid

Person Re-identification by Probabilistic Relative Distance Comparison

Wei-Shi Zheng (Queen Mary University Of London), Shaogang Gong, Tao Xiang

Branch and Track

Steve Gu (Duke University), Carlo Tomasi

Semi-Supervised Video Segmentation

Ignas Budvytis (Cambridge University), Vijay Badrinarayanan, Roberto Cipolla (Cambridge University)

Total Recall II: Query Expansion Revisited

Ondrej Chum, Andrej Mikulik (CMP, CTU in Prague), Michal Perdoch (CMP, CTU in Prague), Jiri Matas

Finding Fiducial Points with Local Detectors and a Consensus of Global Models

Peter Belhumeur, David Jacobs (UMIACS), David Kriegman (UCSD/KBVT)

Globally-Optimal Greedy Algorithms for Tracking a Variable Number of Objects (Not camera ready PDF)

Hamed Pirsiavash, Deva Ramanan, Charless Fowlkes (UC Irvine)

TaylorBoost: First and Second-order Boosting Algorithms with Explicit Margin Control

Mohammad Saberian (UC San Diego), Hamed Masnadi-Shirazi (UC San Diego), Nuno Vasconcelos

O(N) Implicit Subspace Embedding for Unsupervised Multi-scale Image Segmentation

Hongbo Zhou (SIUC), Qiang Cheng (SIUC)

A Global Optimization Approach to Robust Multi-Model Fitting

Jin Yu (The University of Adelaide), Tat-Jun Chin (The University of Adelaide), David Suter

Shape Based Pedestrian Parsing

Yihang Bo (Beijing Jiaotong University, Beijing, China), Charless Fowlkes (UC Irvine)

City-Scale Landmark Identification on Mobile Devices

David Chen (Stanford University), Georges Baatz (Department of Computer Science, ETH Zurich), Kevin Koeser, Sam Tsai, Ramakrishna Vedantham (Nokia Research Center, Palo Alto), Timo Pylvanainen (Nokia Research Center, Tampere), kimmo Roimela (Nokia Research Center), Xin Chen (Navteq), Jeff Bach (Navteq), Marc Pollefeys, Bernd Girod, Radek Grzeszczuk

2.5D Building Modeling with Topology Control

Qian-Yi Zhou (USC), Ulrich Neumann (USC)

From Active Contours to Active Surfaces

Akshaya Mishra (Tornado Medical System), Paul Fieguth (University of Waterloo), David Clausi (University of Waterloo)

Which parts of the face give out your identity?

Jesus Ocegueda-Gonzalez (University of Houston), Shishir Shah (University of Houston), Ioannis Kakadiaris

Evaluating Combinational Color Constancy Methods on Real-World Images

Bing Li (Chinese Academy of Sciences)

Reconstructing an image from its local descriptors (PDF)

Philippe Weinzaepfel (ENS Cachan Bretagne), Herve Jegou, Patrick Perez (Technicolor)

A Theory of Multi-perspective Defocusing

Yuanyuan Ding (Epson Research and Development), Jingyi Yu

Comparing Data-Dependent and Data-Independent Embeddings for Classification and Ranking of Internet Images

Yunchao Gong (UNC Chapel Hill), Svetlana Lazebnik (University of North Carolina at Chapel Hill)

Novel 4-D Open-Curve Active Contour and Curve Completion Approach for Automated Tree Structure Extraction

Yu Wang (Rensselaer Polytechnic Inst.), Arunachalam Narayanaswamy (Rensselaer Polytechnic Instituite), Badri Roysam

Illumination Invariant Feature Extraction Based on Natural Images Statistics and Optimal Filtering

Lu-Hung Chen (UNC at Chapel Hill), Yang Yao-Hsiagn (National Taiwan University), Chu-Song Chen, Ming-Yen Cheng

Linearity of Each Channel Pixel Values from a Surface in and out of Shadows and Its Applications

Dong Tian (Sia), dong tang (sia.ac)

A Segmentation-aware Object Detection Model with Occlusion Handling

Tianshi Gao (Stanford University), Benjamin Packer, Daphne Koller

Action Recognition using Context and Appearance Distribution Features

Xinxiao Wu (NTU), Dong Xu, Lixin Duan (NTU, Singapore), Jiebo Luo

Registration of Camera Captured Documents Under Non-rigid Deformation

Venkata Edupuganti (Dept. of CS, NJIT), Suryaprakash Kompalli (Hewlett Packard Labs), Vinayak Agarwal (Hewlet Packard Labs, India)

Exploring Knowledge Transfer and Zero-Shot Learning in a Large-Scale Setting

Marcus Rohrbach (MPI Informatics), Bernt Schiele (MPI Informatics), Michael Stark (MPI Informatics)

A Generalized Probabilistic Framework for Compact Codebook Creation

Lingqiao Liu (Australian National University), Lei Wang (Australian National University), Chunhua Shen (NICTA)

Structure-from-Motion Based Hand-Eye Calibration Using $L_{\infty}$ Minimization

Jan Heller (CTU in Prague), Michal Havlena (CTU in Prague), Tomas Pajdla (CTU Prague), Akihiro Sugimoto (NII)

Biased Normalized Cuts

Subhransu Maji, Nisheeth Vishnoi (Microsoft Research, India), Jitendra Malik (UC Berkeley)

Action Recognition from a Distributed Representation of Pose and Appearance

Subhransu Maji, Lubomir Bourdev (UC Berkeley), Jitendra Malik (UC Berkeley)

Efficient Groupwise Non-rigid Registration of Textured Surfaces

Kirill Sidorov (Cardiff University), Stephen Richmond (Cardiff University), David Marshall (Cardiff University)

Feature- and Depth-Supported Modified Total Variation Optical Flow for 3D Motion Field Estimation in Real Scenes

Thomas Müller (Daimler Research), Jens Rannacher (Universität Heidelberg), Clemens Rabe (Daimler Research), Uwe Franke (Daimler Research)

A general method for the Point of Regard estimation in 3D space (PDF, abstract)

Fiora Pirri (Sapienza Universitàdi Roma), Matia Pizzoli (Sapienza Universitàdi Roma), Alessandro Rudi (Sapienza Universitàdi Roma)

Classification with Invariant Scattering

Joan Bruna (Ecole Polytechnique), Stéphane Mallat (École Polytechnique)

Sparse Image Representation with Epitomes

Louise Benoit (ENS), Julien Mairal, Francis Bach (INRIA), Jean Ponce

Multi-spectral SIFT for Scene Category Recognition

Matthew Brown, Sabine Susstrunk (EPFL)

Unsupervised Auxiliary Visual Words Discovery for Large-Scale Image Object Retrieval (PDF)

Yin-Hsi Kuo (National Taiwan University and Academia Sinica), Hsuan-Tien Lin, Wen-Huang Cheng, Yi-Hsuan Yang, Winston Hsu

Deterministically Maximizing Feasible Subsystem for Robust Model Fitting with Unit Norm Constraint

Yinqiang Zheng (Tokyo Institute of Technology), Shigeki Sugimoto (Tokyo Institute of Technology), Masatoshi Okutomi

Distributed Message Passing for Large Scale Graphical Models (PDF)

Alexander Schwing (ETHZ), Hazan Tamir, Marc Pollefeys, Raquel Urtasun

Reconstruction of relief objects from line drawings

Michael Kolomenkin (Technion), George Leifman (Technion), Ilan Shimshoni, Ayellet Tal (Technion)

Efficient Euclidean Distance Transform Using Perpendicular Bisector Segmentation

Jun Wang (Peking University), Ying Tan (Peking University)

Variable Grouping for Energy Minimization

Taesup Kim (KAIST), Sebastian Nowozin, Pushmeet Kohli, Chang D. Yoo

Actom Sequence Models for Efficient Action Detection

Adrien Gaidon (INRIA), Harchaoui Zaid, Cordelia Schmid

Supervised Hierarchical Pitman-Yor Process for Natural Scene Segmentation

Alex Shyr (UC Berkeley), Trevor Darrell (ICSI, UC Berkeley), Michael Jordan (UC Berkeley), Raquel Urtasun

A Unified Framework for Locating and Recognizing Human Actions

Yuelei Xie (Institute of computing technology, Chinese Academy of Science), Hong Chang, Zhe Li (Institute of computing technology, Chinese Academy of Science), Luhong Liang (Institute of computing technology, Chinese Academy of Science), Xilin Chen, Debin Zhao

Learning Better Image Representations Using 'Flobject Analysis' (PDF)

Inmar Givoni (University of Toronto), Patrick Li (University of Toronto), Brendan Frey (University of Toronto)

3D Motion Reconstruction for Real-World Camera Motion

Yingying Zhu (University of Queensland), Mark Cox, Simon Lucey

Generalized Group Sparse Classifiers with Application in fMRI Brain Decoding

Bernard Ng, Rafeef Abugharbieh

Bayesian Deblurring with Integrated Noise Estimation

Uwe Schmidt (TU Darmstadt), Kevin Schelten (TU Darmstadt), Stefan Roth

Distributed Computer Vision Algorithms Through Distributed Averaging

Roberto Tron (Johns Hopkins University), RenéVidal

Exploring Relations of Visual Codes for Image Classification

yongzhen Huang, Kaiqi Huang (NLPR, CASIA), Tieniu Tan

A Novel Supervised Level Set Method for Non-Rigid Object Tracking

Xin Sun (Harbin Institute of Technology), Hongxun Yao, Shengping Zhang (Harbin Institute of Technology)

MKPM: a multiclass extension of the Kernel Projection Machine

Sylvain Takerkart (CNRS), Liva Ralaivola (LIF)

Unsupervised Local Color Correction for Coarsely Registered Images

Miguel Riem de Oliveira (University of Aveiro), Angel Sappa (Computer Vision Center), Vitor Santos (University of Aveiro, Portugal)

Object Segmentation by Alignment of Poselet Activations to Image Contours (PDF)

Thomas Brox (Albert-Ludwigs-University Freiburg), Lubomir Bourdev (UC Berkeley), Subhransu Maji, Jitendra Malik (UC Berkeley)

Statistics of Real-World Hyperspectral Images

Ayan Chakrabarti, Todd Zickler

Style Transfer Matrix Learning for Unsupervised Writer Adaptation

Xu-Yao Zhang (National Laboratory of Pattern Recognition, Chinese Academy of Sciences), Cheng-Lin Liu (CASIA)

Shape from Specular Flow: Is One Flow Enough?

Yuriy Vasilyev (Harvard University), Todd Zickler, Steven Gortler (Harvard University), Ohad Ben-Shahar (Ben-Gurion University)

Support Tucker Machines

Irene Kotsia (Queen Mary University of Londo), Ioannis Patras

Robust Classification via Structured Sparse Representation

Ehsan Elhamifar (Johns Hopkins University), RenéVidal

Nonlocal Matting

Philip Lee (Northwestern University), Ying Wu (Northwestern University)

Multiscale Geometric and Spectral Analysis of Plane Arrangements

Guangliang Chen (Duke University), Mauro Maggioni

A Brute-Force Algorithm for Reconstructing a Scene from Two Projections

Olof Enqvist (Lund University), Fangyuan Jiang (Lund University), Fredrik Kahl

Reflection Detection in Image Sequences (PDF)

Mohamed Ahmed (Trinity College Dublin), Francois Pitie, Anil Kokaram

The importance of intermediate representations for the modeling of 2D shape detection: Endstopping and curvature tuned computations

Antonio Rodriguez-Sanchez (York University), John Tsotsos

Activity Recognition using Dynamic Subspace Angles

Octavia Camps, Mario Sznaier (Northeastern University), Binlong Li (Northeastern University), Teresa Mao (Northeastern University), Mustafa Ayazoglu (Northeastern University)

Using Specular Highlights as Pose Invariant Features for 2D-3D Pose Estimation

Aaron Netz (University of Haifa), Margarita Osadchy

Adapted Gaussian Models for Image Classification

Mandar Dixit (UC San Diego), Nikhil Rasiwasia (UCSD), Nuno Vasconcelos

Probabilistic Gaze Estimation Without Active Personal Calibration

Jixu Chen (Rensselaer Polytechnic Inst.), Qiang Ji

Visual Saliency Detection by Spatially Weighted Dissimilarity

Lijuan duan, chunpeng Wu, Jun Miao (ICT, CAS), Laiyun Qing, Yu Fu

Global Optimization for Optimal Generalized Procrustes Analysis

Daniel Pizarro (University of Alcala), Adrien Bartoli (Universitéd'Auvergne)

Boosted Local Structured HOG-LBP for Object Localization

Junge Zhang, Kaiqi Huang (NLPR, CASIA), Tieniu Tan

Graph Connectivity In Sparse Subspace Clustering

Behrooz Nasihatkon (Australian National University), Richard Hartley

A RankOrder-based clustering algorithm in face annotation

Chunhui Zhu (Tsinghua University), Fang Wen (Microsoft Research Asia), Jian Sun

TVParser: An Automatic TV Video Parsing Method

Chao Liang (Chinese Academy of Sciences), changsheng Xu, Jian Cheng, Hanqing Lu

Salient Coding for Image Classification

yongzhen Huang, Kaiqi Huang (NLPR, CASIA), Tieniu Tan

Supervised Local Subspace Learning for Continuous Head Pose Estimation

Dong Huang (Carnegie Mellon University), Markus Storer (Graz University of Technology ), Fernando DelaTorre, Horst Bischof

Adaptive Random Forest - How many ``experts'' to ask before making a decision?

Alexander Schwing (ETHZ), Christopher Zach, Yefeng Zheng (Siemens Corporate Research), Marc Pollefeys

Local Isomorphism to Solve the Pre-image Problem in Kernel Methods

Dong Huang (Carnegie Mellon University), Yuandong Tian (Carnegie Mellon University), Fernando DelaTorre

Robust and Efficient Regularized Boosting Using Total Bregman Divergence

Meizhu Liu (University of Florida), Baba Vemuri

Generalized Gaussian Process Models

Antoni Chan (City University of Hong Kong), Daxiang Dong (Hong Kong University of Science and Technology)

Hierarchical Anatomical Brain Networks for MCI Prediction by Partial Least Square Analysis

Luping Zhou (UNC at Chapel Hill, U.S.A), Yaping Wang (Northwestern Polytechnical University, P.R.China), Yang Li (UNC at Chapel Hill, U.S.A), Pew-Thian Yap (UNC at Chapel Hill, U.S.A), Dinggang Shen

On Dynamic Scene Geometry for View-invariant Action Matching

Anwaar Haq (Monash), Iqbal Gondal (Monash University), Mubarak Shah (UCF)

Discriminative Spatial Pyramid

Tatsuya Harada (The Univ. of Tokyo), Yoshitaka Ushiku (Grad. School of Information Sc), Yuya Yamashita (The Univ. of Tokyo), Yasuo Kuniyoshi (The Univ. of Tokyo)

Nonparametric Density Estimation on A Graph: Learning Framework, Fast Approximation and Application in Image Segmentation

Zhiding Yu (HKUST), Oscar Au (HKUST), Ketan Tang (HKUST)

Robust, Accurate and Weakly-Supported-Surfaces preserving Multi-View Reconstruction

Michal Jancosek (CTU Prague), Tomas Pajdla (CTU Prague)

Human Brain Labeling Using Image Similarities

François Rousseau (CNRS), Piotr Habas (UCSF), Colin Studholme (UCSF)

Heat-Mapping: A Robust Approach Toward Perceptually Consistent Mesh Segmentation

Yi Fang (Purdue University), Mengtian Sun (Purdue University), Karthik Ramani (Purdue University)

Feature Context for Image Classi?cation and Object Detection

Xinggang Wang (Huazhong Univ. of Sci&Tech.), Xiang Bai (Huazhong University of Science and Technology), Wenyu Liu (Huazhong University of Science and Technology), LonginJan Latecki

Track to the future: Spatio-temporal video segmentation with long-range motion cues

JoséLezama (INRIA), Karteek Alahari (ENS / INRIA - WILLOW), Josef Sivic (INRIA / Ecole Normale Superieure), Ivan Laptev

Automatic Adaptation of a Generic Pedestrian Detector to a Specific Traffic Scene

Meng Wang (The Chinese University of HK), Xiaogang Wang (The Chinese University of Hong Kong)

A 3-D Marked Point Process Model for Multi-View People Detection

Ákos Utasi (MTA SZTAKI), Csaba Benedek (MTA SZTAKI)

Enforcing Similarity Constraints with Integer Programming for Better Scene Text Recognition

David Smith (UMass Amherst), Jacqueline Feild (UMass Amherst), Eric Learned-Miller

Discriminative Affine Sparse Codes for Image Classification

Naveen Kulkarni (Student), Baoxin Li

On analyzing video with very small motions

Robert Pless, Nathan Jacobs (University of Kentucky), Michael Dixon (Washington University in St. Louis), Austin Abrams (Washington University in St. Louis)

Learning Object Color Models from Multi-view Constraints

Trevor Owens (UC Berkeley), Kate Saenko, Trevor Darrell (ICSI, UC Berkeley), Ayan Chakrabarti, Todd Zickler

The Light-Path Less Traveled

Srikumar Ramalingam (MERL), Sofien Bouaziz (EPFL), Peter Sturm, Philip Torr (Oxford Brookes University)

Learning Context for Collective Activity Recognition

Wongun Choi (University of Michigan), Silvio Savarese, Khuram Shahid

Landmark/Image-based Deformable Registration of Gene Expression Data

Uday Kurkure, Yen Le, Nikos Paragios, James Carson, Tao Ju, Ioannis Kakadiaris

Random Maximum Margin Hashing

Alexis Joly (INRIA), olivier buisson (ina)

On Deep Generative Models with Applications to Recognition

Marc'Aurelio Ranzato, Joshua Susskind (University of Toronto), Volodymyr Mnih (University of Toronto), Geoffrey Hinton (University of Toronto)

Online Group-Structured Dictionary Learning

Zoltan Szabo (Eotvos Lorand University), Barnabas Poczos (Carnegie Mellon University), Andras Lorincz (Eotvos Lorand University)

Single Image Super-Resolution using Gaussian Process Regression

He He (The Hong Kong Polytechnic Univ), Wan-Chi Siu (The Hong Kong Polytechnic University)

Robust Discriminative Wire Structure Modeling with Application to Stent Enhancement in Fluoroscopy

Xiaoguang Lu (Siemens Corporate Research), Terrence Chen (Siemens Corporate Research), Comaniciu Dorin

Dynamic Batch Mode Active Learning

Shayok Chakraborty (Arizona State University), Vineeth Balasubramanian (Arizona State University), Sethuraman Panchanathan (Arizona State University)

Adaptive Metric Differential Tracking

Nan Jiang (HUST)

Automated Mitosis Detection of Stem Cell Populations with high confluency in Phase-Contrast Microscopy Images

Seungil Huh (Carnegie Mellon University), Mei Chen (Intel Labs Pittsburgh)

Exploiting Phonological Constraints for Handshape Inference in ASL Video

Ashwin Thangali (Boston Univsersity), Stan Sclaroff (Boston University), Carol Neidle (Boston University), Joan Nash (Boston University)

Object Recognition with Hierarchical Kernel Descriptors

Bo Liefeng, Kevin Lai, Xiaofeng Ren, Dieter Fox

Learning to Share Visual Appearance for Multiclass Object Detection

Ruslan Salakhutdinov (MIT), Antonio Torralba, Josh Tenenbaum (MIT)

What makes an image memorable?

Phillip Isola (MIT), Jianxiong Xiao (MIT CSAIL), Aude Oliva, Antonio Torralba

Multi-Level Inference by Relaxed Dual Decomposition for Human Pose Segmentation

Huayan Wang (Stanford University), Daphne Koller

Dirichlet Process Mixture Models on Symmetric Positive Definite Matrices for Appearance Clustering in Video Surveillance Applications

Anoop Cherian (University of Minnesota), Vassilios Morellas (University of Minnesota, Twin Cities), Nikolaos Papanikolopoulos

Learning Message-Passing Inference Machines for Structured Prediction

Stephane Ross (Carnegie Mellon University), Daniel Munoz (Carnegie Mellon University), J. Andrew Bagnell (Carnegie Mellon University)

Modelling composite shapes by Gibbs Random Fields

Dmitrij Schlesinger, Boris Flach (Czech technical University Prague)

A Probabilistic Model for Recursive Factorized Image Features

Sergey Karayev (UC Berkeley), Mario Fritz, Sanja Fidler (University of Ljubljana), Trevor Darrell (ICSI, UC Berkeley)

Novelty detection from an Ego-centric perspective

Omid Aghazadeh (KTH), Josephine Sullivan, Stefan Carlsson

Learning Image Representations from Pixel Level via Hierarchical Sparse Coding

Kai Yu (NEC Labs America), Yuanqing Lin (NEC Labs America), John Lafferty (CMU)

Context Tracker: Exploring Supporters and Distracters in Unconstrained Environments

Thang Dinh (Univ. of Southern California), Gerard Medioni

Multi-label Learning with Incomplete Class Assignments

Serhat Bucak (Michigan State University), Rong Jin (Michigan State University), Anil Jain (Michigan State University)

Efficient Multi-Camera Detection, Tracking, and Identification using a Shared Set of Haar-Features

Reyes Rios-Cabrera (K.U.Leuven), Tinne Tuytelaars (K.U.Leuven), Luc VanGool

A Generative Statistical Model for Tracking Multiple Smooth Trajectories

Ernesto Brau (University of Arizona), Kobus Barnard (Universiy of Arizona), Ravi Palanivelu (University of Arizona), Damayanthi Dunatunga (University of Arizona), Tatsuya Tsukamoto (University of Arizona), Philip Lee

Sampling Bedrooms

Luca Del Pero (University of Arizona), Jinyan Guan (University of Arizona), Ernesto Brau (University of Arizona), Joseph Schlecht (University of Heidelber), Kobus Barnard (Universiy of Arizona)

Contour cut: identifying salient contours in images by solving a Hermitian eigenvalue problem

Ryan Kennedy (University of Pennsylvania), Jean Gallier, Jianbo Shi

Heterogeneous Image Features Integration via Multi-View Spectral Clustering

Xiao Cai (Department of Computer Science, University of Texas at Arlington), Feiping Nie (University of Texas, Arlington), Heng Huang (University of Texas at Arlington, Department of Computer Science and Engineering), Farhad Kamangar (Department of Computer Science, University of Texas at Arlington)

Image analysis by counting on a grid

Alessandro Perina (Microsoft Research), Nebojsa Jojic (Microsoft Research)

Image Saliency: From Local to Global Context

Meng Wang (Boston University), Janusz Konrad (Boston University), Prakash Ishwar (Boston University), Yushi Jing (Google Research), Henry Rowley (Google)

Robust Point Set Registration Using EM-ICP with Information-Theoretically Optimal Outlier Handling

Jeroen Hermans (Katholieke Universiteit Leuven), Dirk Smeets, Paul Suetens (K.U.Leuven), Dirk Vandermeulen

L1-rotation averaging using the Weiszfeld algorithm

Richard Hartley (ANU)

A Probabilistic Representation for Efficient Large Scale Visual Recognition Tasks

Subhabrata Bhattacharya (UCF), Rahul Sukthankar (CMU/Intel Labs), Rong Jin (MSU), Mubarak Shah (UCF)