Computer Vision Taiwanese Group

Computer Vision Taiwanese Group is an open platform to connect all taiwanese people (students, researchers, engineers, and faculties) working on computer vision, image processing and pattern recognition. Here you can find people with relevant research interests in computer vision. You are welcome to leave comments, share academic links that you found useful, discuss technical problems you encounter, etc.


The group page is open to everyone.


Here is the link to the group page:
http://www.facebook.com/group.php?gid=112719202116662

演講：如何找研究題目 (電腦視覺)?

兩個禮拜之後將給這個演講，應該是暑假前最後一次講這個題目，對於電腦視覺研究有興趣的朋友(e.g., 碩博士生)歡迎來參與討論。

注意時間有更正
時間:   6月8日下午 4:00-5:30 
地點：台北市南港中央研究院資訊所 106室

時間：6/8 (二) 下午2:00 - 3:30 (3:30-4:00 問題討論)

地點：台北市南港中央研究院資訊所 107 室

題目：How to come up with new research ideas (in Computer Vision)?

摘要
Computer vision has been studied for more than 40 years. Due to the increasingly diverse and rapidly developed topics in vision and the related fields (e.g., machine learning, signal processing, cognitive science), the tasks to come up with new research ideas are usually daunting for junior graduate students in this field. In this talk, I will present five methods to come up with new research ideas. For each method, I will give several examples (i.e., existing works in the literature) to illustrate how the method works in practice. 


This is a common sense talk and will not have complicated math equations and theories.

Note: The content of this talk is inspired by Prof. Ramesh Raskar's talk on "How to come up with new Ideas".

投影片

Presentation Slides

How to Solve Problems in Computer Vision? Preface

How to Solve Problems in Computer Vision? Preface

Jia-Bin Huang

Jbhuang0604@gmail.com

Latest Update: May 20, 2010

The Feynman Problem-Solving Algorithm:

                      (1) Write down the problem

                      (2) Think very hard

                      (3) Write down the answer

         -Richard Feynman

Motivation

When writing the article series “How to come up with new research ideas in computer vision?”, I think that there is another thing which is also essential to the research process, namely, “How to solve problems in computer vision?”. It may not be a difficult task for junior researchers (especially the imaginative ones) to come up with new research ideas. However, it often takes years of research experiences to know how to describe and analyze a problem via scientific approaches, deal with data uncertainty though statistical approaches, and realize an effective and efficient implementation using engineering approaches.

The gap between the abstract thinking and the problem-solving skills usually forms the major communication barriers between graduate students and their advisors. For example, students might feel that the feedback from the advisor useless or impractical, while advisors might worry about the fact that students could have been lost in technical details. In fact, these two things (i.e., knowing what to do and how to do) are both of great importance and complement with each other. As the MIT motto says

Mens et Manus (Mind and Hand) - MIT's motto

In “How to come up with new research ideas?” I addressed the Mens (mind) part. In this series, I will focus on the Manus (hand) part.

After introducing the basic concepts in computer vision, I will follow the Feynman Problem-Solving Algorithm to show how to solve problems in computer vision. The three problem-solving steps will be accompanied with various examples in the following articles. Through examples, people can learn how these vision problems had been addressed and know how to apply these methodologies on their own problems. In other words, I am a believer in this quote:

Do not tell people how to live their lives. Just tell them stories. And they will figure out how those stories apply to them. - Randy Pausch

Note: The content of this article series is inspired from the new computer vision textbook: Computer Vision: Algorithms and Applications, by Richard Szeliski.

Three Level of Analysis in Computer Vision

David Marr, one of the pioneers in computer vision, proposed to understand vision (i.e., an information processing system) at three different levels of analysis.

1.    Computational Level

What does the system do, and why?

2.    Representation and Algorithm Level

How does the system do what it wants to do? What are the representations and what are the algorithms to build and manipulate the representations.

3.    Implementation Level

How does the system be physically realized?

Even after thirty-years, Marr’s view on vision remains useful and serve a good guide for formulating and solving problems in computer vision.

What Kinds of Problems Are There in Computer Vision?

Computer vision processes and interprets visual information (e.g., images or videos). We can roughly classify vision problems into three categories by the level of the output labels: 1) Low-level, 2) Mid-level, and 3) High-level vision.

(Note that this is my own interpretation. There may be other viewpoints on how to define low-, mid-, and high-level vision.)

The output from low-level vision problems is a label map, i.e., one label for each pixel. Mid-level vision problems produce meaningful representations from images or videos. High-level vision predicts (semantic) class labels.

Input：Visual information (e.g., image or video)

=====Low-level vision=====

Output：A label map

Example problems                         Label means

Depth estimation                       Depth from the viewer

Figure / ground estimation         Foreground or background

Edge detection                          Edge or non-edge

Segmentation                            Region membership

Motion (optical flow)                   Motion vector

Intrinsic image                           Reflectance

Image restoration               High-resolution, clear, clean images
(denoising,  demosaicking,
deblurring, inpainting,
contrast enhancement,
dehazing, super-resolution)

=====Mid-level vision=====

Output：Representation of images

Example problems

Shape reconstruction

Human/head pose estimation

Hand gesture representation

Face representation

(Snakes / Active shape models / Active appearance models)

Texture representation and synthesis

Image representation 

(Bag-of-features / Spatial pyramid, i.e., coding and pooling of low-level features)

=====High-level vision=====

Input：Semantic label of an image

Example problems

Object detection / localization

Object recognition

Optical character recognition

Hand-written digit recognition

Event recognition

Scene understanding

Relationship between Computer Vision and Computer Graphics

From the three-level of vision problems above we know that all computer vision problems aim to recover information Y we need by input visual information X. In other words, the goal of computer vision problems is to accurately estimate the conditional probability P(Y|X). On the other hand, computer graphics cares P(X|Y), i.e., given the information Y, what’s the realistic image X would be?

Take the Natal Project for an example, computer vision attempts to the recover the underlying human pose (or facial expression) from image and depth sensors, while computer graphics generates the corresponding animation (the one you saw in your TV) from the estimated pose.

Another practical example is 3D city in the Google Earth. Computer vision reconstructs the 3D structure from a large collection of photos, while computer graphics renders realistic scenes from these 3D models.

Over the last decades, we have witnessed an increasing interaction between computer vision and computer graphics, such as image-based modeling and rendering, morphing, light field capture and rendering, panoramic image stitching and computational photography.

How to Solve Problems in Computer Vision?

How to solve these difficult inverse problems in computer vision? We will follow Richard Feynman’s Problem-Solving Algorithm and show how three different kinds of approaches, namely, scientific, statistical, and engineering approach are applied in this problem-solving algorithm.

The Feynman Problem-Solving Algorithm

Step 1: Write down the problem.

Step 2: Think very hard.

Step 3: Write down the answer.

The problem-solving algorithm seems trivial at the first glance. However, it can be widely applied to solve complex problems. Below is a tentative outline:

1.    Write down the problem (Scientific)

1. Low-level vision
2. Mid-level vision
3. High-level vision

2.    Think very hard (Statistical)

1. Bayesian Modeling
2. Inference: Maximum Likelihood (ML), Maximum a Posteriori (MAP) and Minimum Mean Squared Error estimation (MMSE)
3. Approaximate inference: Monte Carlo methods, Variational methods, and (loopy) belief propagation.
4. Structured prediction: Markov random Field, Conditional random field, Max-Margin Markov Networks, Structured SVM, Joint Kernel Support Estimation

3.    Write down the answer (Engineering)

1. Implementation algorithms
2. Testing: synthetic experiments, noise and abbreviation from the model, real-world images

The Computer Vision Genealogy Project

The Computer Vision Genealogy Project

Project Page: http://visiongenealogy.summerhost.info/

The Computer Vision Genealogy Project (CVGP) aims at collecting people in computer vision by organizing a family tree according to dissertation supervision relationships. Computer vision has been studied for more than 40 years. This field becomes increasingly active over the past decades. Although there are some other related academic genealogy projects exist (e.g., The AI Genealogy Project or The Mathematics Genealogy Project), we believe that building a genealogy database specific to the this area can provide more useful and interesting information for people in this community. 


This is an ongoing project. Therefore, you may find that there are some researchers missing or incorrect entries in our database. Please help us build a better computer vision genealogy database by inserting researchers, or modifying wrong profiles.




People

• Jia-Bin Huang (data collection and organization)
• Wen-Sheng Chu (database/website design and construction)
• Kuo-Chuan Chiu (database oragnization)
• You (please help us to improve the genealogy database by inserting researchers, or modifying wrong profiles)

Computer Vision and Pattern Recognition (CVPR) 2010 Paper Categorization

Computer Vision and Pattern Recognition (CVPR) 2010 Paper Categorization

Jia-Bin Huang

jbhuang0604@gmail.com

The list below is an example for the articles on "How to come up with new research ideas in computer vision?". This is a rough categorization of the accepted papers in CVPR 2010 based on their approaches to come up with new ideas. While each paper may fall into several categories, I just select one which I felt the most relevant to the work. You can find the description of the five categories from the articles (in Chinese) or the presentation slides (in English).

1.      Seek different dimensions

Concrete dimensions

Efficient Hierarchical Graph-Based Video Segmentation

Matthias Grundmann, Vivek Kwatra, Mei Han, Irfan Essa

Dynamic and Scalable Large Scale Image Reconstruction (PDF, project, videos)

Christoph Strecha, Timo Pylvanainen, Pascal Fua

Fast Image Alignment in the Fourier Domain (PDF, video)

Ahmed Ashraf, Simon Lucey, Tsuhan Chen

Multiview Constraints in Frequency Space and Camera Calibration from Unsynchronized Images

Hiroki Matsumoto, JUN SATO, Fumihiko Sakaue

Generating Sharp Panoramas from Motion-blurred Videos

Yunpeng Li, Sing Bing Kang, Neel Joshi, Steve Seitz, Dan Huttenlocher

Hybrid Shift Map for Video Retargeting

Yiqun Hu, Deepu Rajan

Towards Internet-scale Multi-view Stereo (videos)

Yasutaka Furukawa, Brian Curless, Steven M. Seitz, Richard Szeliski

Detecting and Parsing Architecture at City Scale from Range Data (PDF)

Alexander Toshev, Philippos Mordohai, Ben Taskar

Harvesting Large-Scale Weakly-Tagged Image Databases from the Web

Jianping Fan

Large-Scale Image Retrieval with Compressed Fisher Vectors

Florent Perronnin, Yan Liu, Jorge Sanchez, Herve Poirier

Robust Piecewise-Planar 3D Reconstruction and Completion from Large-Scale Unstructured Point Data

Anne-Laure Chauve, Patrick Labatut, Jean-Philippe Pons

Robust Flash Deblurring (PDF, High resolution PDF, project, results, poster, dataset)

Shaojie Zhuo, Terence Sim

Exploiting Hierarchical Context on a Large Database of Object Categories (PDF, Project)

Myung Jin Choi, Joseph Lim, Antonio Torralba

Face Recognition Based on Image Sets

Hakan Cevikalp, Bill Triggs

Warp Propagation for Video Resizing

Yuzhen Niu, Feng Liu, Xueqing Li, Michael Gleicher

iCoseg: Interactive Co-segmentation with Intelligent Scribble Guidance (PDF, project, video, dataset)

Dhruv Batra, Adarsh Kowdle, Devi Parikh, Tsuhan Chen, Jiebo Luo

Collect-Cut: Segmentation with Top-Down Cues Discovered in Multi-Object Images (PDF)

Yong Jae Lee, Kristen Grauman

Image Restoration and Disparity Estimation from an Uncalibrated Multi-Layered Image

Takahiro Yano, Masao Shimizu, Masatoshi Okutomi

Quasi-Dense 3D Reconstruction using Tensor-based Multiview Stereo

Tai-Pang Wu, Sai-Kit Yeung, Jiaya Jia, Chi-keung Tang

Spatial-Bag-of-Features

Yang Cao, Changhu Wang, Zhiwei Li, Lei Zhang, Liqing Zhang

Interest Seam Image

Xiao Zhang, Gang Hua, Lei Zhang, Heung-Yeung Shum

Coded Exposure Imaging for Projective Motion Deblurring (PDF, project, supplementary material, source code)

Yu-Wing Tai, Naejin Kong, Stephen Lin, Sung Yong Shin

Abstract dimensions

Single Image Depth Estimation From Predicted Semantic Labels (PDF)

Beyang Liu, Stephen Gould, Daphne Koller

Depth from Diffusion (PDF)

Changyin Zhou, Oliver Cossairt, Shree Nayar

Learning 3D Shape from a Single Facial Image via Non-linear Manifold Embedding and Alignment

Xianwang Wang, Ruigang Yang

Polynomial Shape from Shading

Ady Ecker, Allan Jepson

Estimating satellite attitude from pushboom sensors

Regis Perrier, Elise Arnaud, Peter Sturm, Mathias Ortner

Using Cloud Shadows to Infer Scene Structure and Camera Calibration (PDF)

Nathan Jacobs, Brian Bies, Robert Pless

Food Recognition Using Statistics of Pairwise Local Features (PDF)

Shulin Yang, Mei Chen, Dean Pomerleau, Rahul Sukthankar

Exploring Features in a Bayesian Framework for Material Recognition (PDF)

Ce Liu, Lavanya Sharan, Edward Adelson, Ruth Rosenholtz

Using Optical Defocus to Denoise

Qi Shan, Jiaya Jia, Sing Bing Kang, Zenglu Qin

Estimating demosaicing algorithms using image noise variance

Jun Takamatsu, Yasuyuki Matsushita, Tsukasa Ogasawara, Katsushi Ikeuchi

Refinement of Digital Elevation Models from Shadowing Cues

James Hogan, William Smith

2.      Combine more than two topics

Combine two methods

Combining Discriminative and Generative Methods for 3D Deformable Surface and Articulated Pose Reconstruction (PDF, project, videos)

Mathieu Salzmann, Raquel Urtasun

Object recognition by discriminative combinations of line segments and ellipses

Alex Chia, Deepu Rajan, Maylor Leung, Susanto Rahardja

Multi-Class Object Localization by Combining Local Contextual Interactions (PDF)

Carolina Galleguillos, Brian McFee, Gert Lanckriet

Online Semi-Supervised Multiple-Instance Boosting (PDF)

Bernhard Zeisl, Christian Leistner, Amir Saffari, Horst Bischof

Cascade Object Detection with Deformable Part Models (PDF)

Pedro Felzenszwalb, Ross B. Girshick, David McAllester

AAM based Face Tracking with Temporal Matching and Face Segmentation (PDF)

Mingcai Zhou, Lin Liang, Jian Sun, Yangsheng Wang

Bimodal Gender Recognition from Face and Fingerprint

Xiong Li, Xu Zhao, Yun Fu, Yuncai Liu

Cascaded Pose Regression

Piotr Dollar, Peter Welinder, Pietro Perona

Super Resolution using Edge Prior and Single Image Detail Synthesis (PDF)

Yu-Wing Tai, Shuaicheng Liu, Michael Brown, Stephen Lin

Combine two problems

A Probabilistic Framework for Joint Segmentation and Tracking

Chad Aeschliman, Johnny Park, Avi Kak

Harmony Potentials for Joint Classification and Segmentation (PDF)

Xavier Boix Bosch, Josep Gonfaus Sitjes, Joost Van de Weijer, Andrew Bagdanov, Joan Serrat Gual, Jordi Gonzalez Sabat

Heterogeneous Conditional Random Field: Realizing Joint Detection and Segmentation of Cell Regions in Microscopic Images

Jiyan Pan, Takeo Kanade

High Performance Object Detection by Collaborative Learning of Joint Ranking of Granule Features

Chang Huang, Ram Nevatia

Toward Coherent Object Detection And Scene Layout Understanding (PDF)

Yingze Bao, Min Sun, Silvio Savarese

Simultaneous Foreground, Background, and Alpha Estimation for Image Matting (PDF)

Bryan Price, Bryan Morse, Scott Cohen

Simultaneous surveillance camera calibration and foot-head homology estimation from human detections

Branislav Micusik, Tomas Pajdla

Generalized Simultaneous Registration and Segmentation

Pratim Ghosh, Mehmet Emre Sargin, B.S. Manjunath

Simultaneous Point Matching and 3D Deformable Surface Reconstruction (PDF)

Appu Shaji, Aydin Varol, Lorenzo Torresani, Pascal Fua

Simultaneous Pose, Correspondence and Non-Rigid Shape (PDF)

Jordi Sanchez, Jonas Ostlund, Pascal Fua, Francesc Moreno-Noguer

Simultaneous Searching of Globally Optimal Interacting Surfaces with Convex Shape Priors

Qi Song, Xiaodong Wu, Yunlong Liu, Mona Garvin, Milan Sonka

Monocular 3D pose estimation and tracking by detection (PDF)

Mykhaylo Andriluka, Stefan Roth, Bernt Schiele

Layered Object Detection for Multi-Class Segmentation (PDF)

Yi Yang, Sam Hallman, Deva Ramanan, Charless Fowlkes

Detecting and Sketching the Common

Shai Bagon, Or Brostovski, Meirav Galun, Michal Irani

Figure-Ground Segmentation Improves Handled Object Recognition in Egocentric Video (Abstract)

Xiaofeng Ren, Chunhui Gu

Part and Appearance Sharing: Recursive Compositional Models for Multi-View Multi-Object Detection

Leo Zhu, Yuanhao Chen, Antonio Torralba, William Freeman, Alan Yuille

Denoising vs. Deblurring: HDR Imaging Techniques Using Moving Cameras (PDF, project, videos, results)

Li Zhang, Alok Deshpande, Xin Chen

3D Curve Sketch: Flexible Curve-Based Stereo Reconstruction and Calibration

R. Fabbri, B. B. Kimia

Combine two areas

Reading Between The Lines: Object Localization Using Implicit Cues from Image Tags (PDF)

Sung Ju Hwang, Kristen Grauman

3.      Re-think the research directions

Re-formulate original problems

Beyond Active Noun Tagging: Modeling Contextual Interactions for Multi-Class Active Learning (PDF)

Behjat Siddiquie, Abhinav Gupta

Dense Interest Points

Tinne Tuytelaars

Free-Form Mesh Tracking : a Patch-Based Approach

Cedric Cagniart, Edmond Boyer, Slobodan Ilic

A Game-Theoretic Approach to Fine Surface Registration without Initial Motion Estimation (PDF)

Andrea Albarelli, Andrea Torsello, Emanuele Rodola

Provide insight to the problems via analysis

SUN Database: Large-scale Scene Recognition from Abbey to Zoo (PDF, project, results, datasets) - formely: Scene Classification and Detection with a Quasi-exhausitve Dataset

Jianxiong Xiao, James Hays, Krista A. Ehinger, Antonio Torralba, Aude Oliva

Secrets of optical flow estimation and their principles

Deqing Sun, Stefan Roth, Michael Black

What is an object? (PDF)

Bogdan Alexe, Thomas Deselaers, Vittorio Ferrari

Will person detection help bag-of-features action recognition?

Alexander Klaeser, Marcin Marszalek, Ivan Laptev, Cordelia Schmid

Analyzing Spatially-varying Blur (PDF)

Ayan Chakrabarti, Todd Zickler, William Freeman

Analysis of Light Transport in Scattering Media

Yasuhiro Mukaigawa, Yasushi Yagi, Ramesh Raskar

Lightfield Analysis of Curved Mirrors: Reflect Your Perspective

Yuichi Taguchi, Amit Agrawal, Srikumar Ramalingam, Ashok Veeraraghavan

New Features and Insights for Pedestrian Detection (PDF)

Stefan Walk, Nikodem Majer, Konrad Schindler, Bernt Schiele

Noise-Optimal Capture for High Dynamic Range Photography (PDF, project, supplementary material, dataset)

Samuel Hasinoff, Fredo Durand, William Freeman

On the design of robust classifiers for computer vision

Hamed Masnadi-Shirazi, Nuno Vasconcelos, Vijay Mahadevan

A Study on Continuous Max-Flow and Min-Cut Approaches

Jing Yuan, Egil Bae, Xuecheng Tai

A Theory of Plenoptic Multiplexing (PDF, Project, movie, supplemental material, source code )

Ivo Ihrke, Gordon Wetzstein, Wolfgang Heidrich

Performance Evaluation of Color Correction Approaches for Automatic Multi-view Image and Video Stitching

Wei Xu, Jane Mulligan

Automatic Point-based Facial Trait Judgments Evaluation

Mario Rojas, David Masip, jordi Vitria

Evaluation of Stereo Confidence Indoors and Outdoors

Xiaoyan Hu, Philippos Mordohai

The Role of Features, Algorithms and Data in Visual Recognition (PDF)

Devi Parikh, Larry Zitnick

Pushing the Envelope of Modern Methods for Bundle Adjustment (PDF, abstract)

Yekeun Jeong, David Nister, Drew Steedly, Richard Szeliski, In So Kweon

4.       Use powerful tools, find suitable problems

Calculus of variations

Variational Segmentation of Elongated Volumetric Structures

Christian Reinbacher, Thomas Pock, Christian Bauer, Horst Bischof

An Approach to Vectorial Total Variation based on Geometric Measure Theory (PDF)

Bastian Goldluecke, Daniel Cremers

Motion Estimation with Non-Local Total Variation Regularization

Manuel Werlberger, Thomas Pock, Horst Bischof

Multi-View Scene Flow Estimation: A View Centered Variational Approach

Tali Bahsa, Yael Moses, Nahum Kiryati

Dimensionality reduction

Cost-Sensitive Subspace Learning for Face Recognition

Jiwen Lu, Tan Yap-Peng

Image Atlas Construction via Intrinsic Averaging on the Manifold of Images

Yuchen Xie, Jeffrey Ho, Baba Vemuri

Putting Local Features on a Manifold

Marwan Torki, Ahmed Elgammal

Manifold Blurring Mean Shift Algorithms

Weiran Wang, Miguel Carreira-perpinan

Action Classification on Product Manifolds

Yui Man Lui, J Ross Beveridge, Michael Kirby

An Extension of Multifactor Analysis for Face Recognition Based on Submanifold Learning

Sung Won Park, Marios Savvides

Parametric Dimensionality Reduction by Unsupervised Regression

Miguel Carreira-perpinan, Zhengdong Lu

Sufficient Dimensionality Reduction for Visual Sequence Classification (PDF)

Alex Shyr, Raquel Urtasun, Michael Jordan

A Novel Riemannian Framework for Shape Analysis of 3D Objects (PDF)

Sebastian Kurtek, Eric Klassen, Anuj Srivastava, Zhaohua Ding

Large-Scale Image Categorization with Explicit Data Embedding

Florent Perronnin, Jorge Sanchez, Yan Liu

Spherical Embeddings for non-Euclidean Dissimilarities

Richard Wilson, Edwin Hancock, Robert Duin, Elzbieta Pekalska

Spectral clustering

Learning the Full Pairwise Affinities for Spectral Segmentation (PDF)

Tae Hoon Kim, Kyoung Mu Lee, Sang Uk Lee

Probabilistic graphical model

Topic-Regression Multi-Modal Latent Dirichlet Allocation for Image Annotation

Duangmanee Putthividhya, Hagai Attias, Srikantan Nagarajan

Building and Using a Semantivisual Image Hierarchy (PDF)

Li-Jia Li, Chong Wang, Yongwhan Lim, David Blei, Li Fei-Fei

Structured Prediction

Grouplet: a Structured Image Representation for Recognizing Human and Object Interactions (PDF)

Bangpeng Yao, Li Fei-Fei

Latent Hierarchical Structural Learning for Object Detection

Leo Zhu, Yuanhao Chen, Antonio Torralba, Alan Yuille, William Freeman

P-N Learning: Bootstrapping Binary Classifiers from Unlabeled Data by Structural Constraints

Zdenek Kalal, Jiri Matas, Krystian Mikolajczyk

Semantic Context Modeling with Maximal Margin Conditional Random Fields for Automatic Image Annotation

Yu Xiang, Xiangdong Zhou, Zuotao Liu, Tat-seng chuats, Chong-Wah Ngo

The Chains Model for Detecting Parts by Their Context (PDF, supplementary material)

Leonid Karlinsky, Michael Dinerstein, Daniel Harari, Shimon Ullman

Automatic discovery of meaningful object parts with latent CRFs (PDF, supplementary material)

Paul Schnitzspan, Stefan Roth, Bernt Schiele

Bilateral filtering

Correcting Over-Exposure in Photographs (PDF)

Dong Guo, Yuan Cheng, Terence Sim

Diffusion Filtering Without Parameter Tuning: Models and Inference Tools

Kai Krajsek, Hanno Scharr

Sparse representation

Automatic Image Annotation Using Group Sparsity (Project)

Shaoting Zhang, Junzhou Huang, Yuchi Huang, Dimitris Metaxas

Estimation of Image Bias Field with Sparsity Constraints (PDF)

Yuanjie Zheng, James Gee

RASL: Robust Alignment by Sparse and Low-rank Decomposition for Linearly Correlated Images (PDF)

Yigang Peng, Arvind Balasubramanian, John Wright, Ma Yi

Supervised Translation-Invariant Sparse Coding (PDF)

Jianchao Yang, Kai Yu, Thomas Huang

Visual Classification with Multi-Task Joint Sparse Representation

Xiao-Tong Yuan, Shuicheng Yan

Learning Shift-Invariant Sparse Representation of Actions (PDF)

Yi Li

Local Features Are Not Lonely - Laplacian Sparse Coding for Image Classification

Shenghua Gao, Wai-Hung Tsang, Liang-Tien Chia, Peilin Zhao

Locality-constrained Linear Coding for Image Classification (PDF)

Jinjun Wang, Jianchao Yang, Kai Yu, Fengjun Lv

On Growth and Formlets: Sparse Multi-Scale Coding of Planar Shape (PDF)

          Timothy Oleskiw, James Elder, Gabriel Peyr

Sparse Representation using Nonnegative Curds and Whey

Yanan Liu, Fei Wu, Zhihua Zhang, Yueting Zhuang, Shuicheng Yan

The Multiscale Competitive Code via Sparse Representation for Palmprint Verification (PDF)

Wangmeng Zuo, Zhouchen Lin, Zhenhua Guo, David Zhang

Deconvolutional Networks

           Matthew Zeiler, Dilip Krishnan, Graham Taylor, Rob Fergus

Increasing depth resolution of Electron Microscopy of Neural circuits using Sparse Tomographic reconstruction (PDF)

Ashok Veeraraghavan, Alex Genkin, Shiv Vitaladevuni, Lou Scheffer, Shan Xu, Harald Hess, Graham Knott, Dmitri Chklovskii

People Location: Let's Sparse it Up!

Alexandre Alahi, Laurent Jacques, Yannick Boursier, Pierre Vandergheynst

Sparsity Model for Robust Optical Flow Estimation at Motion Discontinuities

Xiaohui Shen, Ying Wu

Efficient Computation of Robust Low-Rank Matrix Approximations in the Presence of Missing Data using the $L_1$ Norm

Anders Eriksson

Classification and Clustering via Dictionary Learning with Structured Incoherence

Pablo Sprechmann, Ignacio Ramirez, Guillermo Sapiro

Robust video denoising using low rank matrix completion (PDF)

Hui Ji, Chaoqiang Liu, Zuowei Shen, Yuhong Xu

Cascaded L1-norm Minimization Learning (CLML) Classifier for Human Detection

Ran Xu, Baochang Zhang, Qixiang Ye, jian bin Jiao

GPCA with Denoising: A Moments-Based Convex Approach

Necmiye Ozay, Mario Sznaier, Constantino Lagoa, Octavia Camps

Visual Tracking Decomposition (PDF, project, video)

Junseok Kwon, Kyoung Mu Lee

5.       Add appropriate adjectives

Linear <=> Nonlinear

Linear View Synthesis Using a Dimensionality Gap Light Field Prior (PDF)

Anat Levin, Fredo Durand

Multilinear Feature Extraction and Classification of Multi-Focal Images, With Applications in Nematode Taxonomy

Min Liu, Amit Roy-Chowdhury

Multilinear Pose and Body Shape Estimation of Dressed Subjects from Image Sets

N. Hasler, H. Ackermann, B. Rosenhahn, T. Thormählen, H.-P. Seidel

Admissible Linear Map Models of Linear Cameras (PDF)

Guillaume Batog, Xavier Goaoc, Jean Ponce

Energy Minimization for Linear Envelope MRFs (PDF)

Pushmeet Kohli, M. Pawan Kumar

Optimal HDR Reconstruction with Linear Digital Cameras (PDF)

Miguel Granados Velasquez, Boris Ajdin, Michael Wand, Christian Theobalt, Hans-Peter Seidel, Hendrik Lensch

Generative <=> Discriminative

A generative perspective on MRFs in low-level vision (PDF, supplementary material)

Uwe Schmidt, Qi Gao, Stefan Roth

Discriminative Clustering for Image Co-segmentation (PDF)

Armand Joulin, Francis Bach, Jean Ponce

Discriminative K-SVD for Dictionary Learning in Face Recognition

Qiang Zhang, Baoxin Li

Multi-Target Tracking by On-Line Learned Discriminative Appearance Models

Cheng-Hao Kuo, Chang Huang, Ram Nevatia

Learning a Hierarchy of Discriminative Space-Time Neighborhood Features for Human Action Recognition (PDF)

Adriana Kovashka, Kristen Grauman

$ell_p$ Norm Multiple Kernel Fisher Discriminant Analysis for Object and Image Categorisation

Fei Yan, Krystian Mikolajczyk, Mark Barnard, hongping cai, Josef Kittler

Bayes Optimal Kernel Discriminant Analysis

Di You, Aleix Martinez

Many-to-one Contour Matching for Describing and Discriminating Object Shape

Praveen Srinivasan, Qihui Zhu, Jianbo Shi

Pareto Discriminant Analysis (PDF, Project)

Karim Abou-Moustafa, Fernando De la Torre, Frank Ferrie

Supervised <=> (Un/Semi)-supervised

Semi-supervised Hashing for Scalable Image Retrieval (PDF)

Jun Wang, Sanjiv Kumar, Shih-Fu Chang

Multimodal semi-supervised learning for image classication (PDF, Project)

Matthieu Guillaumin, Jakob Verbeek, Cordelia Schmid

Connecting Modalities: Semi-supervised Segmentation and Annotation of Images Using Unaligned Text Corpora (PDF)

Richard Socher, Li Fei-Fei

Exploiting Simple Hierarchies for Unsupervised Human Behavior Analysis (PDF)

Fabian Nater, Helmut Grabner, Luc Van Gool

Unsupervised Discovery of Co-occurrence in Sparse High Dimensional Spaces

Ondrej Chum, Jiri Matas

Unsupervised Discovery of Facial Events

Feng Zhou, Fernando De la Torre, Jeff Cohn

Unsupervised Detection and Segmentation of Identical Objects (PDF)

Minsu Cho, Kyoung Mu Lee

An automatic unsupervised classification of MR images in Alzheimer's disease

Xiaojing Long, Chris Wyatt

Talking Pictures: Temporal Grouping and Dialog-Supervised Person Recognition (PDF, supplementary material)

Timothee Cour, Ben Sapp, Akash Nagle, Ben Taskar

Probabilistic Models for Supervised Dictionary Learning

Xiaochen Lian, Zhiwei Li, Changhu Wang, Lei Zhang

The Phase Only Transform for unsupervised surface defect detection

Dror Aiger, Hugues Talbot

Towards Weakly Supervised Semantic Segmentation by Means of Multiple Instance and Multitask Learning (PDF)

Alexander Vezhnevets, Joachim Buhmann

Visual Tracking via Weakly Supervised Learning from Multiple Imperfect Oracles

Bineng Zhong, Hongxun Yao, Sheng Chen, Xiaotong Yuan, Shaohui Liu

Weakly-Supervised Hashing in Kernel Space

Yadong Mu, Jialie Shen, Shuicheng Yan

Discovering Image Categories by Information Projection and Cluster Sampling

Dengxin Dai, Tianfu Wu, Song-Chun Zhu

Space/Time Heavy <=> Efficient

Efficient Additive Kernels via Explicit Feature Maps (PDF)

Andrea Vedaldi, Andrew Zisserman

Efficient Extraction of Human Motion Volumes by Tracking (PDF)

Juan Carlos Niebles, Bohyung Han, Li Fei-Fei

Efficient Filter Flow for Space-Variant Multiframe Blind Deconvolution (PDF, video)

Michael Hirsch, Suvrit Sra, Bernhard Schölkopf, Stefan Harmeling

Efficient Histogram-Based Sliding Window (PDF)

Yichen Wei, Litian Tao

Efficient Piecewise Learning for Conditional Random Fields (PDF)

Karteek Alahari, Chris Russell, Philip H. S. Torr

Efficient image segmentation with a reference distribution

Ismail Ben Ayed, Hua-mei Chen, Kumaradevan Punithakumar, Shuo Li

Efficiently Selecting Regions for Scene Understanding (PDF)

M. Pawan Kumar, Daphne Koller

Fast Approximate Energy Minimization with Label Costs (PDF, code)

Andrew Delong, Anton Osokin, Hossam Isack, Yuri Boykov

Fast Global Optimization of Curvature (PDF)

Noha El-Zehiry, Leo Grady

Fast Globally Optimal 2D Human Detection with Loopy Graph Models (PDF)

Tai-Peng Tian, Stan Sclaroff

Fast Matting Using Large Kernel Matting Laplacian Matrices (PDF)

Kaiming He, Jian Sun, Xiaoou Tang

Fast Polygonal Integration and Its Application in Extending Haar-like Features to Improve Object Detection (PDF, supplementary material)

Minh-Tri Pham, Viet-Dung Hoang, Tat-Jen Cham, Yang Gao

Fast Sparse Representation with Prototypes

Jia-Bin Huang, Ming-Hsuan Yang

Fast and Robust Object Segmentation with the Integral Linear Classifier (PDF)

David Aldavert, Arnau Ramisa, Ricardo Toledo, Ramon Lopez de Mantaras

Fast pattern matching using orthogonal Haar transform

Wanli Ouyang, Renqi Zhang, Cham Wai-Kuen

A Steiner Tree approach to efficient object detection (PDF)

Olga Russakovsky, Quoc Le, Andrew Ng

An Efficient Divide-and-Conquer Cascade for Nonlinear Object Detection (PDF, implementation)

Christoph H. Lampert

Compact Projection: Simple and Efficient Near Neighbor Search with Practical Memory Requirements (PDF)

Kerui Min, Linjun Yang, John Wright, Lei Wu, Xian-Sheng Hua, Yi Ma

Efficient Action Spotting based on a Spacetime Oriented Structure Representation (PDF, project, video)

Konstantinos Derpanis, Mikhail Sizintsev, Kevin Cannons, Richard Wildes

Model Globally, Match Locally: Efficient and Robust 3D Object Recognition (Abstract)

B. Drost, Markus Ulrich, N. Navab, S. Ilic

Ray Markov Random Fields for Image-Based 3D Modeling: Model and Efficient Inference

Shubao Liu, David Cooper

Global and Efficient Self-Similarity for Object Classification and Detection (PDF)

Thomas Deselaers, Vittorio Ferrari

A Square-Root Sampling Approach to Fast Histogram-Based Search

Huang-Wei Chang, Hwann-Tzong Chen

Transform Coding for Fast Approximate Nearest Neighbor Search in High Dimensions

Jonathan Brandt

Improving the Efficiency of Hierarchical Structure-and-Motion

Riccardo Gherardi, Michela Farenzena, Andrea Fusiello

Sublinear Time Directional Chamfer Matching

Ming-Yu Liu, Oncel Tuzel, Ashok Veeraraghavan, Rama Chellappa

Scalable Active Matching (PDF)

Ankur Handa, Margarita Chli, Hauke Strasdat, Andrew Davison

Scalable Face Image Retrieval with Identity-Based Quantization and Multi-Reference Re-ranking (PDF)

Zhong Wu, Qifa Ke, Jian Sun, Heung-Yeung Shum

A Constant-Space Belief Propagation Algorithm for Stereo Matching (PDF)

Qingxiong Yang, Liang Wang, Narendra Ahuja

Rapid Face Recognition Using Hashing (PDF)

Qinfeng Shi, Hanxi Li, Chunhua Shen

Rapid Selection of Reliable Templates for Visual Tracking (Abstract)

N. Alt, S. Hinterstoisser, N. Navab

Rapid and accurate developmental stage recognition of C. elegans from high-throughput image data

Amelia White, Huey-Ling Kao, Patricia Cipriani, Brandon Lees, Davi Geiger, Kris Gunsalus, Fabio Piano

Real Time Motion Capture using a Single Time-Of-Flight Camera (PDF)

Varun Ganapathi, Christian Plagemann, Sebastian Thrun, Daphne Koller

Hand-designed <=> Learning-based

Face Recognition with Learning-based Descriptor (PDF)

Zhimin Cao, Qi Yin, Jian Sun, Xiaoou Tang

Far-Sighted Active Learning on a Budget for Image and Video Recognition (PDF)

Sudheendra Vijayanarasimhan, Prateek Jain, Kristen Grauman

Learning Appearance in Virtual Scenarios for Pedestrian Detection

Francisco Marin Tur, David Vazquez, David Geronimo, Antonio M. Lopez

Learning Kernels for Normalized Cuts: Convex Relaxations and applications

Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Chris Hinrichs

Learning Mid-Level Features For Recognition (PDF)

Y-Lan Boureau, Francis Bach, Yann LeCun, Jean Ponce

Learning from Interpolated Images using Neural Networks for Digital Forensics (PDF)

Yizhen Huang, Na Fan

Learning to Recognize Shadows in Monochromatic Natural Images (PDF)

Jiejie Zhu, Kegan Samuel, Syed Zain Masood, Marshall Tappen

Optimizing One-Shot Recognition with Micro-Set Learning (PDF)

Kevin Tang, Marshall Tappen, Rahul Sukthankar, Christoph H. Lampert

Safety in Numbers: Learning Categories from Few Examples with Multi Model Knowledge Transfer (PDF)

Tatiana Tommasi, Francesco Orabona, Barbara Caputo

YouTubeCat: Learning to Categorize Wild Web Videos

Zheshen Wang, Ming Zhao, Yang Song, Sanjiv Kumar, Baoxin Li

Tracking the Invisible: Learning Where the Object Might be (PDF, supplementary material)

H. Grabner, J. Matas, L. Van Gool, P. Cattin

Visual Event Recognition in Videos by Learning from Web Data (PDF)

Lixin Duan, Dong Xu, Wai-Hung Tsang, Jiebo Luo

Boosting for Transfer Learning with Multiple Auxiliary Domains

Gianfranco Doretto, Yi Yao

Boundary Learning by Optimization with Topological Constraints (PDF, Supplementary material)

Viren Jain, Benjamin Bollmann, Bobby Kasthuri, Ken Hayworth, Richard Schalek, Juan Carlos Tapia, Daniel Berger, Mark Richardson, Kevin Briggman, Moritz Helmstaedter, Winfried Denk, Jeff Lichtman, Sebastian Seung

Data Fusion through Cross-modality Metric Learning using Similarity-Sensitive Hashing

Michael Bronstein, Alexander Bronstein, Nikos Paragios, Fabrice Michel

Removal of 3D Face Expressions: A Learning-based Approach

Song Han, Gang Pan, Yuting Zhang

Single scale <=> Multi-scale

Scale-Hierarchical 3D Object Recognition in Cluttered Scenes (PDF)

Prabin Bariya, Ko Nishino

Vessel Scale Selection using MRF Optimization (PDF)

Hengameh Mirzaalian, Ghassan Hamarneh

DARTs: Efficient scale-space extraction of DAISY keypoints

David Marimon, Arturo Bonnin, Tomasz Adamek, Roger Gimeno

Single step <=> Progressive

Efficient Joint 2D and 3D Palmprint Matching with Alignment Refinement

Wei Li, Lei Zhang, david Zhang, Guangming Lu, Jingqi Yan

Batch processing <=> Online processing

An Online Approach: Learning-Semantic-Scene-by-Tracking and Tracking-by-Learning-Semantic-Scene

Xuan Song, Xiaowei Shao, Huijing Zhao, Jinshi Cui, Ryosuke Shibasaki, Hongbin Zha

Online Multiclass LPBoost (PDF, source code)

Amir Saffari, Martin Godec, Thomas Pock, Christian Leistner, Horst Bischof

Online Multiple Instance Learning with No Regret

Li Mu, James Kwok, Lu Bao-liang

Online Visual Vocabulary Pruning Using Pairwise Constraints (PDF)

Pavan K. Mallapragada, Rong Jin, A. K. Jain

PROST: Parallel Robust Online Simple Tracking (PDF, project, videos, dataset)

Jakob Santner, Christian Leistner, Amir Saffari, Thomas Pock, Horst Bischof

Visual Tracking via Incremental Self-tuning Particle Filtering on the Affine Group

Min Li, Wei Chen, Kaiqi Huang, Tieniu Tan

Model Evolution: An Incremental Approach to Non-Rigid Structure from Motion (PDF, project, video)

Shengqi Zhu, Li Zhang, Brandon Smith

Online-Batch Strongly Convex Multi Kernel Learning (PDF)

Francesco Orabona, Jie Luo, Barbara Caputo

Fixed <=> Adaptive

Adaptive Pose Priors for Pictorial Structures (PDF, project)

Benjamin Sapp, Chris Jordan, Ben Taskar

Optical Flow Estimation with Adaptive Convolution Kernel Prior on Discrete Framework

Kyong Joon Lee, Dongjin Kwon, Il Dong Yun, Sang Uk Lee

Parallel Graph-cuts by Adaptive Bottom-up Merging (PDF)

Jiangyu Liu, Jian Sun

Visual Object Tracking using Adaptive Correlation Filters (PDF, videos)

David Bolme, J Ross Beveridge, Bruce Draper, Yui Man Lui

Abrupt Motion Tracking via Adaptive Stochastic Approximation Monte Carlo Sampling

Xiuzhuang Zhou, yao Lu

Adaptive Action Detection

Liangliang Cao, Zicheng Liu, Thomas Huang

Adaptive Generic Learning for Face Recognition from a Single Sample per Person

Yu Su, Shiguang Shan, Xilin Chen, wen Gao

Adaptive Linear Predictors for Real-Time Tracking (Abstract)

S. Holzer , S. Ilic, N. Navab

Multiple Dynamic Models for Tracking the Left Ventricle of the Heart from Ultrasound Data using Particle Filters and Deep Learning Architectures (PDF)

Gustavo Carneiro, Jacinto Nascimento

Spike Train Driven Dynamical Models for Human Actions (PDF, project)

Michalis Raptis, Kamil Wnuk, Stefano Soatto

Dynamical Binary Latent Variable Models for 3D Human Pose Tracking (PDF)

Graham Taylor, Leonid Sigal, David Fleet, Geoffrey Hinton

Learning Weights for Codebook in Image Classification

Hongping Cai, Krystian Mikolajczyk, Fei Yan

Improving web-image search results using query-independent classifiers (Project)

Josip Krapac, Moray Allan, Jakob Verbeek, Frédéric Jurie

Multi-Task Warped Gaussian Process for Personalized Age Estimation

Yu Zhang, Dit-Yan Yeung

Personalization of Image Enhancement (PDF)

Sing Bing Kang, Ashish Kapoor, Dani Lischinski

Improving State-of-the-Art OCR through High-Precision Document-Specific Modeling (PDF)

Andrew Kae, Gary Huang, Erik Learned-miller, Carl Doersch

Making specific features less discriminative to improve point-based 3D object recognition (PDF, dataset)

Edward Hsiao, Alvaro Collet, Martial Hebert

Parametric <=> Non-parametric

A Globally Optimal Data-Driven Approach for Image Distortion Estimation (PDF, project, videos, results)

Yuandong Tian, Srinivasa Narasimhan

Nonparametric Higher-Order Learning for Interactive Segmentation (PDF)

Tae Hoon Kim, Kyoung Mu Lee, Sang Uk Lee

Nonparametric Label-to-Region by Search

Xiaobai Liu, Shuicheng Yan, Jiebo Luo

Contour People: A Parameterized Model of 2D Articulated Human Shape

Oren Freifeld, Alex Weiss, Silvia Zuffi, Michael Black

Data Driven Mean-Shift Belief Propagation For non-Gaussian MRFs (PDF)

Minwoo Park, Somesh Kashyap, Bob Collins, Yanxi Liu

Global <=> Local

Global Gaussian Approach for Scene Categorization using Information Geometry

Hideki Nakayama, Tatsuya Harada, Yasuo Kuniyoshi

Global Optimization for Estimating a BRDF with Multiple Specular Lobes

Chanki Yu, Yongduek Seo, Sang-Wook Lee

Globally Optimal Pixel Labeling Algorithms for Tree Metrics (PDF)

Pedro Felzenszwalb, Gyula Pap, Eva Tardos, Ramin Zabih

Real-Time Vehicle Global Localisation with a Single Camera in Dense Urban Areas: Exploitation of Coarse 3D City Models

Pierre Lothe, Steve Bourgeois, Eric Royer, Michel Dhome, Sylvie Naudet Collette

Exploiting Global Connectivity Constraints for Reconstruction of 3D Line Segment from Images (Project)

A. Jain, C. Kurz, T. Thormählen, H.-P. Seidel

Gesture Recognition by Learning Local Motion Signatures (PDF)

Mohamed-Becha Kaaniche, Francois Bremond

Object Matching with a Locally Affine-Invariant Constraints (PDF, videos)

Hongsheng Li, Edward Kim, Xiaolei Huang, Lei He

Randomized Hybrid Linear Modeling by Local Best-fit Flats

Teng Zhang, Arthur Szlam, Yi Wang, Gilad Lerman

Stratified Learning of Local Anatomical Context for Lung Nodules in CT Images

Dijia Wu, Le Lu, Jinbo Bi, Yoshihisa Shinagawa, Kim Boyer, Arun Krishnan, Marcos Salganicoff

Support Vector Regression for Multi-View Gait Recognition based on Local Motion Feature Selection

Worapan Kusakunniran, Qiang Wu, Jian Zhang, Hongdong Li

Tracking with Local Spatio-Temporal Motion Patterns in Extremely Crowded Scenes (PDF, video 1, video 2, video 3)

Louis Kratz, Ko Nishino

Aggregating local descriptors into a compact image representation (PDF, project)

Hervé Jégou, Matthijs Douze, Cordelia Schmid, Patrick Pérez

Non-Rigid Structure from Locally-Rigid Motion (PDF, project, video, supplementary Material)

Jonathan Taylor, Allan Jepson, Kyros Kutulakos

The Automatic Design of Feature Spaces for Local Image Descriptors using an Ensemble of Non-linear Feature Extractors (PDF)

Gustavo Carneiro

  

Z-invariant

Efficient Rotation Invariant Object Detection using Boosted Random Ferns

Michael Villamizar, Alberto Sanfeliu, Francesc Moreno-Noguer, Juan Andrade-Cetto

Fast invariant descriptors based on moments of image features

Gianfranco Doretto, Yi Yao

Global and Local Isometry-Invariant Descriptor for 3D Shape Comparison and Partial Matching

Huai-Yu Wu

Learning 3D Action Models from a few 2D videos for View Invariant Action Recognition

Pradeep Natarajan, Vivek Singh, Ram Nevatia

Learning a Probabilistic Model Mixing 3D and 2D Primitives for View Invariant Object Category Recognition

Wen Ze Hu, Song-Chun Zhu

Modeling Pixel Process with Scale Invariant Local Patterns for Background Subtraction in Complex Scenes

Shengcai Liao, Guoying Zhao, Vili Kellokumpu, Matti Pietikäen, Stan Li

Chaotic Invariants of Lagrangian Particle Trajectories for Anomaly Detection in Crowded Scenes (PDF)

                Shandong Wu

Posture Invariant Surface Description and Feature Extraction

Stefanie Wuhrer, Zouhour Ben Azouz, Chang Shu

Scale-Invariant heat kernel signatures for non-rigid shape recognition (PDF)

Michael Bronstein, Iasonas Kokkinos

Unified Real-Time Tracking and Recognition with Rotation-Invariant Fast Features (PDF)

Gabriel Takacs, Vijay Chandrasekhar, Sam Tsai, David Chen, Radek Grzeszczuk, Bernd Girod

Unsupervised Learning of Invariant Features Using Video (PDF)

David Stavens, Sebastian Thrun

Robust Relevance Vector Machine Regression

Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa

3D Morphable Model Construction for Robust Ear and Face Recognition

John Bustard, Mark Nixon

Pose-Robust Albedo Estimation from a Single Image

Soma Biswas, Rama Chellappa

A theory of phase-sensitive rotation invariance with spherical harmonic and moment-based representations (PDF)

Ramakrishna Kakarala, Dansheng Mao

Robust Order-based Methods for Feature Description

Raj Gupta, Anurag Mittal, Harshal Patil

Z-aware

Context-Aware Saliency Detection (PDF, Abstract)

Stas Goferman, Lihi Zelnik-Manor, Ayellet Tal

Object-Graphs for Context-Aware Category Discovery (PDF, project)

Yong Jae Lee, Kristen Grauman

A Content-Aware Image Prior (PDF)

Taeg Sang Cho, Neel Joshi, Larry Zitnick, Sing Bing Kang, Richard Szeliski, William Freeman

Content-Aware Ranking for Visual Search

Bo Geng, Linjun Yang, Chao Xu, Xian-Sheng Hua

Multi-Cue Pedestrian Classification with Partial Occlusion Handling

Markus Enzweiler, Angela Eigenstetter, Bernt Schiele, Dariu Gavrila

Real-time Tracking of Multiple Occluding Objects using Level Sets

Charles Bibby, Ian Reid

Context-Constrained Hallucination for Image Super-Resolution (abstract)

Jian Sun, Jiejie Zhu, Marshall Tappen

Outlier Removal Using Duality (PDF)

Carl Olsson, Anders Eriksson, Richard Hartley

Towards Semantic Embedding in Visual Vocabulary

R.-R. Ji, Hongxun Yao, Xiaoshuai Sun

What Helps Where - And Why? Semantic Relatedness for Knowledge Transfer (PDF)

Marcus Rohrbach, Michael Stark, Gyö Szarvas, Bernt Schiele, Iryna Gurevych

Modeling Mutual Context of Object and Human Pose in Human-Object Interaction Activities (PDF)

Bangpeng Yao, Li Fei-Fei

Discontinuous Seam-Carving for Video Retargeting

Matthias Grundmann, Vivek Kwatra, Mei Han, Irfan Essa

Z-preserving

Motion Detail Preserving Optical Flow Estimation

Li Xu, Jiaya Jia, Yasuyuki Matsushita

SPEC Hashing: Similarity Preserving algorithm for Entropy-based Coding (PDF)

Ruei-Sung Lin, David Ross, Jay Yagnik

SVM for Edge-Preserving Filtering (PDF)

Qingxiong Yang, Shengnan Wang, Narendra Ahuja

6.       Unclassified papers (to be updated...)

A New Texture Descriptor Using Multifractal Analysis in Multi-orientation Wavelet Pyramid (PDF)

Yong Xu, Xiong Yang, Haibin Ling, Hui Ji

Anomaly Detection in Videos Using Mixtures of Dynamic Textures

Vijay Mahadevan, Weixin Li, Viral Bhalodia, Nuno Vasconcelos

Building Reconstruction using Manhattan-World Grammars (PDF)

Carlos Vanegas, Daniel Aliaga, Bedrich Benes

Bundled Depth-Map Merging for Multi-View Stereo

Jianguo Li

Common Visual Pattern Discovery via Spatially Coherent Correspondences

Liu Hairong, Shuicheng Yan

Detecting Text in Natural Scenes with Stroke Width Transform

Boris Epshtein, Eyal Ofek, Yonatan Wexler

Disambiguating Visual Relations Using Loop Constraints (PDF)

Christopher Zach, Manfred Klopschitz, Marc Pollefeys

Estimating Camera Pose from a Single Urban Ground-View Omnidirectional Image and a 2D Building Outline Map (PDF)

Tat-Jen Cham, Arridhana Ciptadi, Wei-Chian Tan, Minh-Tri Pham, Liang-Tien Chia

Hybrid Multi-view Reconstruction by Jump-Diffusion (PDF)

Florent Lafarge, Renaud Keriven, Mathieu Bredif, Hoang Hiep Vu

Isoperimetric Cut on a Directed Graph

Mo Chen, Ming Liu, Jianzhuang Liu, Xiaoou Tang

Measuring Visual Saliency by Site Entropy Rate

Wei Wang, Yizhou Wang

Minimum length in the tangent bundle as a model for curve completion

Guy Ben-Yosef, Ohad Ben Shahar

Multi-View Structure Computation from Graph Rigidity

Hongdong Li

Non-uniform Deblurring for Shaken Images (PDF)

Oliver Whyte, Josef Sivic, Andrew Zisserman, Jean Ponce

Object Separation In X-Ray Image Sets (PDF)

Geremy Heitz, Gal Chechik

On Detection of Multiple Object Instances using Hough Transforms (PDF)

Olga Barinova, Victor Lempitsky, Pushmeet Kohli

Parallel and Distributed Graph Cuts by Dual Decomposition (PDF)

Petter Strandmark, Fredrik Kahl

Piecewise Planar and Non-Planar Stereo for Urban Scene Reconstruction (PDF, project, video)

David Gallup, Jan-Michael Frahm, Marc Pollefeys

Probabilistic Temporal Inference on Reconstructed 3D Scenes (PDF, videos)

Grant Schindler, Frank Dellaert

Proximate Sensing: Inferring What-Is-Where From Georeferenced Photo Collections

Daniel Leung, Shawn Newsam

Rectifying rolling shutter video from hand-held devices (PDF, project, videos, supplementary material)

Per-Erik Forssen, Erik Ringaby

Rectilinear Parsing of Architecture in Urban Environment

Peng Zhao, Tian Fang, Honghui Zhang, Jianxiong Xiao, Long Quan, Qinping Zhao

Segmentation of Building Facades Using Procedural Shape Priors (PDF)

Olivier Teboul, Loic Simon, Panagiotis Koutsourakis, Nikos Paragios

Self-calibrating Photometric Stereo (PDF)

Boxin Shi, Yasuyuki Matsushita, Yichen Wei, Chao Xu, Ping Tan

Temporal Causality for the Analysis of Visual Events ()

Karthir Prabhakar, Sangmin Oh, Ping Wang, Gregory Abowd, James Rehg

Tiered Scene Labeling with Dynamic Programming (PDF)

Pedro Felzenszwalb, Olga Veksler

What's going on? Discovering Spatio-Temporal Dependencies in Dynamic Scenes (PDF)

Daniel Kuettel, Michael Breitenstein, Luc Van Gool, Vittorio Ferrari

"Lattice Cut" - Constructing superpixels using layer constraints (PDF)

Alastair Moore, Simon Prince

3D Model Based Vehicle Classification in Aerial Imagery

Saad Khan, Hui Cheng, Harpreet Sawhney, Dennis Matthies

3D Reconstruction of Glossy Surfaces Using Stereo Cameras and Projector-Display

Masaki Yamazaki, Gang Xu

3D Scene Priors for Road Detection

Jose M. Alvarez, Theo Gevers, Antonio M. Lopez

3D Shape Correspondence by Isometry-Driven Greedy Optimization (PDF, PPT)

Yusuf Sahillioglu, Yucel Yemez

3D Shape Scanning with a Time-of-Flight Camera

Christian Theobalt, Yan Cui, Sebastian Schuon, Sebastian Thrun, Derek Chan

Bidirectional relighting for 3D-aided 2D Face Recognition - formely: 3D-aided 2D Face Recognition

George Toderici, George Passalis, Stefanos Zafireiou, Georgios Tzimiropoulos, Maria Petrou, Theoharis Theoharis, Ioannis Kakadiaris

A Diffusion Approach to Seeded Image Segmentation (PDF)

Juyong Zhang, Jianmin Zheng, Jianfei Cai

A Framework for Ultra High Resolution 3D Imaging (PDF)

Zheng Lu, Yu-Wing Tai, Moshe Ben-Ezra, Michael Brown

A Hough Transform-Based Voting Framework for Action Recognition (PDF)

Angela Yao, Juergen Gall, Luc Van Gool

A Novel Markov Random Field Based Deformable Model for Face Recognition

Shu Liao, Albert C.S. Chung

A Shape-Driven MRF Model for the Segmentation of Organs in Medical Images

Deepak Chittajallu, Ioannis Kakadiaris

A Spatially Varying PSF-based Prior for Alpha Matting (PDF)

Christoph Rhemann, Carsten Rother, Pushmeet Kohli, Margrit Gelautz

A probabilistic image jigsaw puzzle solver (PDF, project)

Taeg Sang Cho, Shai Avidan, William T. Freeman

ABSORB: Atlas Building by Self-Organized Registration and Bundling

Hongjun Jia, Guorong Wu, Qian Wang, Dinggang Shen

ARISTA - Image Search to Annotation on Billions of Web Photos

Xin-Jing Wang, Ming Liu, Lei Zhang, Yi Li, Wei-Ying Ma

Accurate 3D Face Reconstruction from Weakly Calibrated Wide Baseline Images

Yuping Lin, Gerard Medioni, Jongmoo Choi

Action Unit Detection with Segment-based SVMs (PDF)

Tomas Simon, Nguyen Minh, Fernando De la Torre, Jeff Cohn

An Eye for an Eye: A Single Camera Gaze-Replacement Method

Lior Wolf, Ziv Freund, Shai Avidan

An Object-Dependent Hand Pose Prior from Sparse Training Data (PDF)

Henning Hamer, Juergen Gall, Thibaut Weise, Luc Van Gool

Anatomical Parts-Based Regression Using Non-Negative Matrix Factorization (PDF)

Swapna Joshi, Karthikeyan Shanmugavadivel, B.S. Manjunath, Scott Grafton, Kent Kiehl

Asymmetric Region-to-Image Matching for Comparing Images with Generic Object Categories (PDF)

Jaechul Kim, Kristen Grauman

Attribute-Centeric Recognition for Cross-category Generalization

Ali Farhadi, Ian Endres, Derek Hoiem

Authority-Shift Clustering: Hierarchical Clustering by Authority Seeking on Graphs (PDF)

Minsu Cho, Kyoung Mu Lee

Automatic Attribution of Ancient Roman Imperial Coins

Ognjen Arandjelovic

Beyond Trees: MRF Inference via Outer-Planar Decomposition (PDF)

Dhruv Batra, Andrew Gallagher, Devi Parikh, Tsuhan Chen

Breaking the interactive bottleneck in multi-class classification with active selection and binary feedback (PDF)

Ajay Joshi, Fatih Porikli, Nikolaos Papanikolopoulos

CRAM: Compact Representation of Actions in Movies (PDF, video)

Mikel Rodriguez

Calibration-free gaze sensing using saliency maps (PDF)

Yusuke Sugano, Yasuyuki Matsushita, Yoichi Sato

Clinical Decision Support using Shape-based Similarity Retrieval of Doppler Images

Tanveer Syeda-Mahmood, Pavan Turaga, David Beymer, Fei Wang, Arnon Amir, Kilian Pohl, Hayit Greenspan

Clustering Dynamic Textures with the Hierarchical EM Algorithm (PDF)

Antoni Chan, Emanuele Coviello, Gert Lanckriet

Co-clustering of Image Segments Using Convex Optimization Applied to EM Neuronal Reconstruction

Shiv Vitaladevuni, Ronen Basri

Comparative object similarity for improved recognition with few or no examples (PDF)

Gang Wang, David Forsyth, Derek Hoiem

Compression of Surface Registration using Beltrami Coefficients

Lok Ming Lui

Consensus Photometric Stereo

Tomoaki Higo, Yasuyuki Matsushita, Katsushi Ikeuchi

Constrained Parametric Min Cuts for Automatic Object Segmentation (PDF)

JoãCarreira, Cristian Sminchisescu, Fuxin Li

Convex Shape Decomposition (PDF)

Liu Hairong, Longin Jan Latecki, Liu Wenyu

Covering Trees and Lower-bounds on Quadratic Assignment (PDF)

Julian Yarkony, Charless Fowlkes, Alex Ihler

Delineating Trees in 2D Images and 3D Image Stacks

German Gonzalez, Engin Turetken, Francois Fleuret, Pascal Fua

Dense Non-rigid Surface Registration Using High-Order Graph Matching (PDF)

Yun Zeng, Chaohui Wang, Yang Wang, Xianfeng Gu, Dimitris Samaras, Nikos Paragios

Diffeomorphic Sulcal Shape Analysis for Cortical Surface Registration

Shantanu Joshi, Ryan Cabeen, Anand Joshi, Roger Woods, Arthur Toga

Direct Image Alignment of Projector-Camera Systems with Planar Surfaces (PDF)

Samuel Audet, Masatoshi Okutomi, Masayuki Tanaka

Discrete minimum ratio curves and surfaces

Fred Nicolls, Phil Torr

Dominant Orientation Templates for Real-Time Detection of Texture-Less Objects (Abstract, videos)

S. Hinterstoisser, V. Lepetit, S. Ilic, P. Fua, N. Navab

Dynamic

Surface Matching by Geodesic Mapping for 3D Animation Transfer

Tony Tung, Takashi Matsuyama

Dynamic Texture Recognition based on Distributions of Spacetime Oriented Structure (PDF, project, supplementary material)

Konstantinos Derpanis, Richard Wildes

Linked Edges as Stable Region Boundaries (PDF)- formely: Edges as Stable Component Tree Region Boundaries

Michael Donoser, Hayko Riemenschneider, Horst Bischof

Egomotion using assorted features

Vivek Pradeep, Jongwoo Lim

Estimating Optical Properties of Layered Surfaces Using the Spider Model

Tetsuro Morimoto, Robby Tan, Rei Kawakami, Katsushi Ikeuchi

Exploiting Monge Structures in Optimum Subwindow Search

Senjian An, Patrick Peursum, Wanquan Liu, Svetha Venkatesh, Xaioming Chen

Exploring Facial Expression with Compositional Features

Peng Yang, Qingshan Liu, Metaxas Dimitris

Facial Point Detection using Boosted Regression and Graph Models

Michel Valstar, Brais Martinez, Xavier Binefa, Maja Pantic

Factorization towards a Classifier

Qiang Chen, Shuicheng Yan, Tian Tsong Ng

Finding Dots: Segmentation as Popping out Regions from Boundaries (PDF)

Elena Bernardis, Stella Yu

Finding Image Distributions on Active Curves

Ismail Ben Ayed, Amar Mitiche, Mohamed Ben Salah, Shuo Li

Finding Meaning on YouTube: Tag Recommendation, Category Discovery and their Implications in Browsing and Search

George Toderici, Hrishikesh Aradhye, Marius Pasca, Luciano Sbaiz, Jay Yagnik

Finding Nemo: Deformable Object Class Modelling using Curve Matching

Mukta Prasad, Andrew Fitzgibbon

Free-Shape Subwindow Search for Object Localization (PDF)

Zhiqi Zhang, Yu Cao, Dhaval Salvi, Kenton Oliver, Jarrell Waggoner, Song Wang

Geo-location estimation from two shadow trajectories (PDF, project)

Lin Wu, Xiaochun Cao

Geodesic Graph Cut for Interactive Image Segmentation (PDF)

Brian Price, Bryan Morse, Scott Cohen

Geodesic Star Convexity for Interactive Image Segmentation (PDF)

Varun Gulshan, Carsten Rother, Antonio Criminisi, Andrew Blake, Andrew Zisserman

Geometric Properties of Multiple Reflections in Catadioptric Camera with Two Planar Mirrors

Xianghua Ying, Kun Peng, Ren Ren, Hongbin Zha

Gradient-directed High Dynamic Range Imaging

Wei Zhang, Cham Wai-Kuen

Group MRF for fMRI Activation Detection

Bernard Ng, Rafeef Abugharbieh, Ghassan Hamarneh

Group Motion Segmentation Using a Spatio-Temporal Driving Force Model

Ruonan Li, Rama Chellappa

Growing semantically meaningful models for visual SLAM

Alexander Flint, Christopher Mei, David Murray

High-Resolution Modeling of Moving and Deforming Objects Using Sparse Geometric and Dense Photometric Measurements (PDF, project, movie)

Yi Xu, Daniel Aliaga

Highly Accurate Boundary Detection and Grouping

Iasonas Kokkinos

Human Identity Recognition in Aerial Images (PDF, project, dataset, source code)

Omar Oreifej, Ramin Mehran, Mubarak Shah

Illumination Compensation Using Order Consistency

Vasu Parameswaran

Image Retrieval via Probabilistic Hypergraph Ranking

Yuchi Huang, Qingshan Liu, Shaoting Zhang, Dimitris Metaxas

Image Webs: Computing and Exploiting Connectivity in Image Collections (PDF, project, videos)

Kyle Heath

Implicit Hierarchical Boosting for Multi-view Object Detection

Xavier Perrotton, Marc Sturzel, Michel Roux

Ink-Bleed Reduction using Functional Minimization

Grani Adiwena Hanasusanto, Michael Brown, Zheng Wu

Integrated Pedestrian Classification and Orientation Estimation

Markus Enzweiler, Dariu Gavrila

Line Matching Leveraged By Point Correspondences

Bin Fan, Fuchao Wu, Zhanyi Hu

Live Dense Reconstruction with a Single Moving Camera (PDF)

Richard Newcombe, Andrew Davison

Local Deformation Profile for Cross-Expression Motion-Based Face Recognition

Ning Ye, Terence Sim

Localizing Non-Overlapping Surveillance Cameras under the L-Infinity Norm

Branislav Micusik, Roman Pflugfelder

Lymph Node Detection in 3-D Chest CT using a Spatial Prior Probability

Johannes Feulner, Kevin Zhou, Martin Huber, Joachim Hornegger, Comaniciu Dorin, Alexander Cavallaro

Making Boltzmann Machines Sharper by Using Dissatisfied Covariance Constraints

Marc'Aurelio Ranzato, Geoffrey Hinton

Masked FFT Registration

Dirk Padfield

Metric-Induced Optimal Embedding for Intrinsic 3D Shape Analysis

Rongjie Lai, Yonggang Shi, Kevin Scheibel, Scott Fears, Roger Woods, Arthur Toga, Tony Chan

Model-Based Respiratory Motion Compensation for Image-Guided Cardiac Interventions

Matthias Schneider, Hari Sundar

Modeling and Estimating Persistent Motion with Geometric Flows

Dahua Lin, Eric Grimson, John Fisher

Monocular SLAM with Locally Planar Landmarks via Geometric Rao-Blackwellized Particle Filtering on Lie groups (PDF, video)

Junghyun Kwon, Kyoung Mu Lee

Morphable Reflectance Fields for Enhancing Face Recognition (PDF)

Ritwik Kumar, Michael Jones, Tim Marks

Morphological Snakes (PDF, project)

Luis Alvarez, Luis Baumela, Pedro Henriquez, Pablo Marquez-Neila

Motion Fields to Predict Play Evolution in Dynamic Sport Scenes

Kihwan Kim, Matthias Grundmann, Ariel Shamir, Iain Matthews, Jessica Hodgins, Irfan Essa

Moving Vistas: Exploiting Motion for Describing Scenes (PDF)

Nitesh Shroff, Pavan Turaga, Rama Chellappa

Multi-Structure Model Selection via Kernel Optimization

Tat-Jun Chin, David Suter, Hanzi Wang

Multi-Target Tracking of Time-varying Spatial Patterns (PDF)

Jingchen Liu, Yanxi Liu

Multi-View Object Class Detection With a 3D Geometric Model (PDF)

Joerg Liebelt, Cordelia Schmid

Multi-domain, Higher Order Level Set Scheme for 3D Image Segmentation on the GPU

Ojaswa Sharma, Qin Zhang, Françs Anton, Chandrajit Bajaj

Multiple Object Detection by Sequential Monte Carlo and Hierarchical Detection Network

Michal Sofka, Jingdan Zhang, Kevin Zhou, Comaniciu Dorin

Multisensor-Fusion for 3D Full-Body Human Motion Capture (dataset)

Gerard Pons-Moll, Andreas Baak, Thomas Helten, Meinard Mueller, Hans-Peter Seidel, Bodo Rosenhahn

Natural Gradients for Deformable Registration (Abstract)

Darko Zikic, Ali Kamen, Nassir Navab

Neuron Geometry Extraction by Perceptual Grouping in ssTEM images

Verena Kaynig, Thomas Fuchs, Joachim Buhmann

Novel Observation Model for Probabilistic Object Tracking

Dawei Liang, Qingming Huang, Hongxun Yao, Shuqiang Jiang, wen Gao

Object Cut: Complex 3D Object Reconstruction through Line Drawing Separation

Tianfan Xue, Jianzhuang Liu, Xiaoou Tang

Object Detection via Boundary Structure Segmentation (PDF)

Alexander Toshev, Ben Taskar, Kostas Daniilidis

Object Recognition as Ranking Holistic Figure-Ground Hypotheses (PDF)

Fuxin Li, JoãCarreira, Cristian Sminchisescu

Object-to-Object Color Transfer: Optimal Flows and SMSP Transformations (PDF)

Daniel Freedman, Pavel Kisilev

One-Shot Multi-Set Non-rigid Feature-Spatial Matching

Marwan Torki, Ahmed Elgammal

Optimal Coded Sampling for Temporal Super-Resolution (PDF)

Amit Agrawal, Mohit Gupta, Ashok Veeraraghavan, Srinivasa Narasimhan

Optimizing Kd-trees for Scalable Visual Descriptor Matching

You Jia, Jingdong Wang, Gang Zeng, Xian-Sheng Hua

Pareto-optimal Dictionaries for Signatures (PDF)

M. Calonder, V. Lepetit, P. Fua

Person Re-Identification by Symmetry-Driven Accumulation of Local Features

Michela Farenzena, Loris Bazzani, Alessandro Perina, Vittorio Murino, Marco Cristani

Player Localization Using Multiple Static Cameras for Sports Visualization

Raffay Hamid, Ramkrishan Kumar, Matthias Grundmann, Kihwan Kim, Irfan Essa, Jessica Hodgins

Point-Based Non-Rigid Surface Registration with Accuracy Estimation

Hidekata Hontani, Wataru Watanabe

Probabilistic 3D Occupancy Flow with Latent Silhouette Cues (PDF)

Li Guan, Jean-Sebastien Franco, Edmond Boyer, Marc Pollefeys

Recognizing Human Actions from Still Images with Latent Poses

Weilong Yang, Yang Wang, Greg Mori

Reconstruction of Display and Eyes from a Single Image

Dirk Schnieders, Xingdou Fu, Kwan-Yee Wong

Recovering Fluid-type Motions Using Navier-Stokes Potential Flow (PDF)

Feng Li, Liwei Xu, Philippe Guyenne, Jingyi Yu

Recovering Thin Structures via Nonlocal-Means Regularization with Application to Depth from Defocus

Paolo Favaro

Rectification of figures and photos in document images using bounding box interface

Hyung Il Koo, Nam Ik Cho

Regenerative Morphing (PDF, project, video)

Eli Shechtman, Alex Rav-Acha, Michal Irani, Steve Seitz

Relaxing the 3L algorithm for an accurate implicit polynomial fitting (PDF)

Angel Sappa, Mohammad Rouhani

Removing Rolling Shutter Wobble (PDF)

Simon Baker, Eric Bennett, Sing Bing Kang, Richard Szeliski

Robust Classification of Objects, Faces, and Flowers Using Natural Image Statistics (PDF)

Christopher Kanan, Garrison Cottrell

Scene Understanding by Statistical Modeling of Patterns from Optical Flow

Imran Saleemi

Search Strategies for Multiple Landmark Detection by Submodular Maximization

David Liu, Kevin Zhou, Comaniciu Dorin

Segmenting Video Into Classes of Algorithm-Suitability (PDF, project, supplementary material, video)

Oisin Mac Aodha, Gabriel J Brostow, Marc Pollefeys

Semantic Label Propagation in Video Sequences

Vijay Badrinarayanan, Fabio Galasso, Roberto Cipolla

Sensor Saturation in Fourier Multiplexed Imaging (PDF, movie, project)

Gordon Wetzstein, Ivo Ihrke, Wolfgang Heidrich

Shape and Refractive Index Recovery from Single-View Polarisation Images

Cong Phuoc Huynh, Antonio Robles-Kelly, Edwin Hancock

Sign Ambiguity Resolution for Phase Demodulation in Interferometry with Application to Prelens Tear Film Analysis

Dijia Wu, Kim Boyer

Silhouette Transformation based on Walking Speed for Gait Identification

Yasushi Makihara, Akira Tsuji, Yasushi Yagi

Spatialized Epitome and Its Applications

Xinqi Chu, Shuicheng Yan, Liyuan Li, Kap Luk Chan, Thomas Huang

Specular Surface Reconstruction from Sparse Reflection Correspondences (PDF)

Aswin Sankaranarayanan, Ashok Veeraraghavan, Oncel Tuzel, Amit Agrawal

Upsampling Range Data in Dynamic Environments (PDF, project, videos, dataset, implementations) - formely: Super-Resolution of Range Data in Dynamic Environments Using a Gaussian Framework

Jennifer Dolson, Jongmin Baek, Christian Plagemann, Sebastian Thrun

Surface Color Estimation Based on Inter- and Intra-Pixel Relationships in Outdoor Scenes

Shun Hirose, Tsuyoshi Suenaga, Kentaro Takemura, Rei Kawakami, Jun Takamatsu, Tsukasa Ogasawara

Surface Extraction from Binary Volumes with Higher-Order Smoothness (PDF)

Victor Lempitsky

Surface Stereo with Soft Segmentation (PDF)

Michael Bleyer, Carsten Rother, Pushmeet Kohli

Tag-based Web Photo Retrieval Improved by Batch Mode Re-Tagging (PDF)

Lin Chen, Dong Xu, Wai-Hung Tsang, Jiebo Luo

Taxonomic Classification for Web-based Videos

Yang Song, Ming Zhao, Jay Yagnik, Xiaoyun Wu

Curious Snakes: A Minimum-Latency Solution to the Cluttered Background Problem in Active Contours (PDF) - formely: The Cluttered Background Problem for Active Contours: A Minimum-Latency Solution

Ganesh Sundaramoorthi, Stefano Soatto, Anthony Yezzi

Total Bregman Divergence and its Applications to Shape Retrieval

Meizhu Liu, Baba Vemuri, Shun-ichi Amari, Frank Nielsen

Tracking People Interacting with Objects (PDF)

Hedvig Kjellstrom, Michael Black, Danica Kragic

Trajectory Matching from Unsynchronized Videos

Han Hu, Jie Zhou

Transductive Segmentation of Live Video with Non-stationary Background

Zhong Fan, Qin Xueying, Peng Qunsheng

Triangulation Made Easy

Peter Lindstrom

Two Perceptually Motivated Strategies for Shape Classification (PDF)

Andrew Temlyakov, Brent Munsell, Jarrell Waggoner, Song Wang

Unified Graph Matching in Euclidean Spaces (PDF)

Julian McAuley, Teofilo de Campos, Tiberio Caetano

Use Bin-Ratio Information for Category and Scene Classification (PDF)

Nianhua Xie, Haibin Ling, Weiming Hu, Xiaoqin Zhang

Vehicle Detection and Tracking in Wide Field-of-View Aerial Video

Jianjian Xiao, Hui Cheng, Harpreet Sawhney, Feng Han

Visual Recognition and Detection Under Bounded Computational Resources (PDF)

Sudheendra Vijayanarasimhan, Ashish Kapoor

Visual Recognition using Mappings that Replicate Margins

Lior Wolf, Nathan Manor

Warping Background Subtraction (PDF)

Teresa Ko, Stefano Soatto, Deborah Estrin