表格 1 SiPS(IEEE Workshop on Signal Processing Systems)

会议名称
 SiPS(IEEE Workshop on Signal Processing Systems)
 
举办频度
 每年一次
 
级别
 
 
相关度
 
 
简介
 
 
>> Multimedia:
          * Multidimensional Signal Processing;
          * Multimedia Analysis;
          * Multimedia Coding and Transmission;
          * Machine Vision and Intelligence;
          * Medical Applications.

>> Network and Communication:
          * Multiple-Input-Multiple-Output (MIMO);
          * Cognitive and Software Defined Radio;
          * Wireless Sensor Networks and RF Identification;
          * Cross-Layer Design of Wireless Networks;
          * Distributed Information Processing.

>> Systems and Architectures:
          * Programmable and Reconfigurable DSP Architectures;
          * Design Methodologies and CAD Tools for VLSI Signal Processing
Systems;
          * Application-Specific Integrated Circuits and Architectures;
          * Low-Power Signal Processing Circuits and Architectures;
          * FPGA-based Architectures;
          * System Integration and Modeling;
          * Systems on Chip and Networks on Chip; Bio and Nanotechnologies in Signal Processing

表格 2 ICCV(International Conference on Computer Vision)

会议名称
 ICCV(International Conference on Computer Vision)
 
举办频度
 每年一次
 
级别
 
 
相关度
 
 
简介
 
 
Topics of interest include all aspects of computer vision and pattern recognition including, but not limited to, the following areas:

Sensors and Early Vision
Color and Texture
Segmentation and Grouping
Motion and Tracking
Stereo and Structure from Motion
Image-Based Modeling
Illumination and Reflectance Modeling
Shape Representation
 Physics-Based Modeling
Object Recognition
Video Analysis and Event Recognition
Face and Gesture
Statistical Methods and Learning
Performance Evaluation
Medical Image Analysis
Image and Video Retrieval
 

表格 3 SAC(ACM Symposium on Applied Computing)

会议名称
 SAC(ACM Symposium on Applied Computing)
 
举办频度
 每年一次
 
级别
 
 
相关度
 
 
简介
 
 
the ACM Symposium on Applied Computing has been a primary gathering forum for applied computer scientists, computer engineers, software engineers, and application developers from around the world
 

表格 4 VIIP(Visualization, Imaging, and Image Processing)

会议名称
 VIIP(Visualization, Imaging, and Image Processing)
 
举办频度
 每年一次
 
级别
 
 
相关度
 
 
简介
 
 
The International Association of Science and Technology for Development (IASTED)

Technical Committee on Image Processing

Technical Committee on Computers

Technical Committee on Visualization
 

表格 5 CAIP(International Conference on Computer Analysis of Images and Patterns)

会议名称
 CAIP(International Conference on Computer Analysis of Images and Patterns)
 
举办频度
 每年一次
 
级别
 
 
相关度
 
 
简介
 
 
TOPICS

(include, but are not limited to)

Image analysis

Biometrics

Computer vision

3D Vision

Pattern recognition

Object recognition

Segmentation and grouping

Medical imaging

Motion Analysis

Augmented reality

Graph-based Methods

Image and video compression

Model-based vision approaches

Image and video indexing and database retrieval

Shape representation and analysis

Model-based object tracking in image sequences

Industrial Applications

Computer Vision Applications in Cultural Heritage
 

表格 6 ICIG(International Conference on Image and Graphics)

会议名称
 ICIG(International Conference on Image and Graphics)
 
举办频度
 每年一次
 
级别
 
 
相关度
 
 
简介
 
 
Topics of interest include, but will not be limited to, the following:

Image processing (Capture, Coding, Transmission, Storage, Enhancement, Restoration, Reconstruction, etc.)
Image analysis (Segmentation, Representation, Description, Measurement, Texture, Motion, etc.)
Image understanding (Matching, Fusion, Scene interpretation, 3-D modeling, Indexing and retrieval, etc.)
Pattern recognition applications (Character, Speech, Image, Video, etc.)
Computer vision (3-D, Active, Real-time, Stereo, Machine Learning, etc.)
Computer Graphics (Models and generation, Animation and visualization, etc.)
Visualization (algorithm, system, application)
Virtual reality (Models, Augmented reality, Media immersion, etc.)
Applications of Image and Graphics (Telecommunication, Bio-medical, Document, Remote sensing, Industrial, etc.)
Data fusion (Character, Image, Video, target tracking based on image or video or speech, etc.)
Game and Animation (Story-telling, game engine, 3D game, mobile game, animation, virtual human)
 
 

表格 7 ICIAR(nternational Conference on Image Analysis and Recognition)

会议名称
 ICIAR(nternational Conference on Image Analysis and Recognition)

 
 
举办频度
 每年一次
 
级别
 
 
相关度
 
 
简介
 
 
The International Conference on Image Analysis and Recognition (ICIAR) aims to bring together researchers in the fields of Image Processing, Image Analysis and Pattern Recognition. The conference addresses recent advances in theory, methodologies and applications. The scientific program includes invited speakers and fully refereed contributions that are published in the conference proceedings.

TOPIC PART:

· Coding

o    Image and video coding, compression

o    Streaming, transmission, communication
 

表格 8 SIP(IASTED International Conference on Signal and Image Processing)

会议名称
 SIP(IASTED International Conference on Signal and Image Processing)
 
举办频度
 每年一次
 
级别
 
 
相关度
 
 
简介
 
 
 
 

表格 9 ISMA(Internet and Multimedia Systems and Applications)

会议名称
 ISMA(Internet and Multimedia Systems and Applications)
 
举办频度
 每年一次
 
级别
 
 
相关度
 
 
简介
 
 
The International Association of Science and Technology for Development (IASTED)

•      Technical Committee on Web, the Internet, and Multimedia

TOPIC PART:

Multimedia Information Systems

Multimedia Tools and Architectures

Multimedia Broadcasting Systems on the Web

Operating System Support for Multimedia

Multimedia Communication Systems

Multimedia Networking

Distributed Multimedia Systems

Content-based Multimedia Retrieval

Multimedia Performance and Management

Mobile Multimedia

Video-on-Demand

Digital Video Broadcasting

IP-based Networks

ATM Networks

Transport Protocols

Routing Protocols

Quality of Service

Scheduling

Resource Management
 

表格 10 CATE(Computers and Advanced Technology in Education)

会议名称
 CATE(Computers and Advanced Technology in Education)
 
举办频度
 每年一次
 
级别
 
 
相关度
 
 
简介
 
 
The International Association of Science and Technology for Development (IASTED)

•      Technical Committee on Advanced Technology in Education
 

表格 11 CSNA(Communication Systems, Networks, and Applications)

会议名称
 CSNA(Communication Systems, Networks, and Applications)
 
举办频度
 每年一次
 
级别
 
 
相关度
 
 
简介
 
 
The International Association of Science and Technology for Development (IASTED)

TOPIC include:

Video Conferencing

3G and 4G Networks
 

表格 12 SPPRA(Signal Processing, Pattern Recognition, and Applications)

会议名称
 SPPRA(Signal Processing, Pattern Recognition, and Applications)
 
举办频度
 每年一次
 
级别
 
 
相关度
 
 
简介
 
 
The International Association of Science and Technology for Development (IASTED)

Topic include:

Audio and Video

Speech Processing

Audio and Electro Acoustics

Video Technology

HDTV

Multimedia
 

表格 13 SIP(Signal and Image Processing)

会议名称
 SIP(Signal and Image Processing)
 
举办频度
 每年一次
 
级别
 
 
相关度
 
 
简介
 
 
The International Association of Science and Technology for Development (IASTED)

Topic include:

Discrete Hilbert Transforms

Wavelet Transforms
 

表格 14 IPA(Image Processing and Applications)

会议名称
 IPA(Image Processing and Applications)
 
举办频度
 每年一次
 
级别
 
 
相关度
 
 
简介
 
 
The International Association of Science and Technology for Development (IASTED)

Topic include:

Image Coding

Image Compression

Image Enhancement

 Image Restoration

Image Segmentation
 

表格 15 SIGGRAPH

会议名称
 IPA(Image Processing and Applications)
 
举办频度
 每年一次
 
级别
 
 
相关度
 
 
简介
 
 
http://www.siggraph.org

Digital innovators, creative researchers, award-winning producers, provocative artists, energetic executives, and adventurous engineers. The worldwide SIGGRAPH community gathers in San Diego to explore the products, systems, techniques, ideas, and inspiration that are creating the next three generations of computer graphics and interactive techniques.
 

表格 16 CVPRIP(Computer Vision, Pattern Recognition & Image Processing)

会议名称
 IPA(Image Processing and Applications)
 
举办频度
 每年一次
 
级别
 
 
相关度
 
 
简介
 
 
International Conference on Computer Vision, Pattern Recognition & Image Processing

Topics:

1. vision and perception

2. stereo, cognitive, physics-based and active vision

3. motion analysis and understanding

4. statistical and syntactic pattern recognition

5. feature extraction and selection

6. image processing

7. enhancement, thresholding and segmentation

8. FFT and wqavelets

9. color image processing

10. clustering analysis

11. morphology

12. compression

13. watermarking and steganography

14. textural analysis

15. biometrics

16. soft computing for CVPRIP

17. video processing and applications

表格 17 WORLDCOMP(World Congress in Computer Science,Computer Engineering, & Applied Computing)

会议名称
 WORLDCOMP

(World Congress in Computer Science,

Computer Engineering, & Applied Computing)
 
举办频度
 每年一次
 
级别
 
 
相关度
 
 
简介
 
 
 
 

表格 18 ICME(International Conference on Multimedia & Expo)

会议名称
 ICME(International Conference on Multimedia & Expo)
 
举办频度
 每年一次
 
级别
 
 
相关度
 
 
简介
 
 
ICME is a major annual international conference with the objective of bringing together researchers, developers, and practitioners from academia and industry working in all areas of multimedia.

Topics include but are not limited to:

 Audio, image, video processing

 Virtual reality and 3-D imaging

 Signal processing for media integration

 Multimedia communications and networking

 Multimedia security and content protection

 Multimedia human-machine interface and interaction

 Multimedia databases

 Multimedia computing systems and appliances

 Hardware and software for multimedia systems

 Multimedia standards and related issues

 Multimedia applications

 Multimedia and social media on the Internet
 

表格 19 ICIP(IEEE International Conference on Image Processing)

会议名称
 ICIP(IEEE International Conference on Image Processing)
 
举办频度
 每年一次
 
级别
 
 
相关度
 
 
简介
 
 
 
 

表格 20 ICASSP(IEEE International Conference on Acoustics, Speech, and Signal Processing)

会议名称
 ICASSP(IEEE International Conference on Acoustics,

 Speech, and Signal Processing)
 
举办频度
 每年一次
 
级别
 
 
相关度
 
 
简介
 
 
    * Audio and electroacoustics
    * Bio imaging and signal processing
    * Design and implementation of signal processing systems
    * Image and multidimensional signal processing
    * Industry technology tracks
    * Information forensics and security
    * Machine learning for signal processing

    * Multimedia signal processing
    * Sensor array and multichannel systems
    * Signal processing education
    * Signal processing for communications
    * Signal processing theory and methods
    * Speech and language processing
 

表格 21 PCS(Picture Coding Symposium)

会议名称
 PCS(Picture Coding Symposium)
 
举办频度
 每年一次
 
级别
 
 
相关度
 
 
简介
 
 
Picture Coding Symposium (PCS) is an international forum devoted

specifically to advancements in visual data coding. Since 1969, PCS has

provided the meeting place for the visual coding community: industry,

research, academia and users.

Topics of interest for submissions include, but are not limited to:

- Coding of still and moving pictures

- Content-based and object-based coding

- Scalable video coding

- Coding of multiview video and 3D graphics

- Modeling and synthetic coding

- Virtual/augmented reality and telepresence

- Coding for mobile, IP and sensor networks

- High fidelity visual data processing and coding

- Analysis for coding and adaptation

- Transcoding and transmoding

- Joint audio and visual processing and coding

- Subjective and objective quality assessment metrics and methods

- Error robustness, resilience and concealment

- Coding and indexing for database applications

- Protection and integrity of visual data

- Persistent association of information to visual data

- Joint source and channel coding

- Implementation architectures and VLSI

- New applications and  techniques for visual data coding

- Standards for visual data coding

表格 22 ICIC(International Conference of intelligent computation)

会议名称
 ICIC(International Conference of intelligent computation)
 
举办频度
 每年一次
 
级别
 
 
相关度
 
 
简介
 
 
http://www.ic-ic.org/

表格 23 CGIV(International Conference on Computer Graphics, Imaging & Visualization)

会议名称
 CGIV(International Conference on

Computer Graphics, Imaging & Visualization)
 
举办频度
 每年一次
 
级别
 
 
相关度
 
 
简介
 
 
IEEE主办

表格 24 IC-BNMT(International Conference on Broadband Network & Multimedia Technology)

会议名称
 IC-BNMT(International Conference on

Broadband Network & Multimedia Technology)
 
举办频度
 每年一次
 
级别
 
 
相关度
 
 
简介
 
 
 
 02
 IPv6
 
 
 03
 Grid computing
 
 
 04
 Network management and measurement
 
 
 05
 Fixed/Mobile Convergence
 
 
 06
 Peer to Peer
 
 
 07
 Optical network and system
 

 
 08
 Mobile multimedia
 
 
 09
 Multimedia standard and related issues
 
 
 10
 Multimedia system and appliance
 
 
 11
 Multimedia information retrieval
 
 
 12
 content security and rights management
 
 
 13
 Multimedia applications
 
 
 14
 Information Security
 

 
 15
 Cryptography
 
 
 16
 Network security
 
 
 17
 Digital contents and its security
 
 
 18
 Trust Computing
 
 
 19
 Digital watermarking
 
 
 20
 Information hidding
 
 
 21
 Data Mining and Knowledge Discovery
 
 
 22
 Intelligent Systems

Oral Presentation

Matching and Features

Learning Visual Similarity Measures for Comparing Never Seen Objects (PDF, bibtex)

Eric Nowak and Frederic Jurie

A contextual dissimilarity measure for accurate and efficient image search (PDF, images & bibtex)

Herve Jegou, Hedi Harzallah, and Cordelia Schmid

Learning Local Image Descriptors (PDF, more)

Simon Winder and Matthew Brown

Principal Curvature-Based Region Detector for Object Recognition (Context, PDF, PDF)

Hongli Deng, Wei Zhang, Eric Mortensen, Thomas Dietterich, and Linda Shapiro,

Image Matching via Salient Region Correspondences (PDF)

Alexander Toshev, Jianbo Shi, and Kostas Daniilidis

Motion Segmentation and Tracking

A Benchmark for the Comparison of 3-D Motion Segmentation Algorithms (PDF)

Roberto Tron and Rene Vidal

Two-view Motion Segmentation from Linear Programming Relaxation (PDF)

Hongdong Li

A Nonparametric Treatment for Location/Segmentation Based Visual Tracking (PDF)

Le Lu and Gregory Hager

A Lagrangian Particle Dynamics Approach for Crowd Flow Segmentation and Stability Analysis (PDF)

Saad Ali and Mubarak Shah

Differential Camera Tracking through Linearizing the Local Appearance Manifold (PDF)

Hua Yang, Marc Pollefeys, Greg Welch, Jan-Michael Frahm, and Adrian Ilie

Learning and Shape

Online Learning Asymmetric Boosted Classifiers for Object Detection (PDF)

Minh-Tri Pham and Tat-Jen Cham

Local Ensemble Kernel Learning for Object Category Recognition

Yen-Yu Lin, Tyng-Luh Liu, and Chiou-Shann Fuh

Accurate Object Localization with Shape Masks (PDF, abstract & bibtex, dataset)

Marcin Marszalek and Cordelia Schmid

Semantic Hierarchies for Recognizing Objects and Parts

Boris Epshtein and Shimon Ullman

Recognition, Learning, and Optimization

Beyond Local Appearance: Category Recognition from Pairwise Interactions of Simple Features (PDF)

Marius Leordeanu, Martial Hebert, and Rahul Sukthankar

What makes a good model of natural images ? (PDF, code, Video)

Yair Weiss and Bill Freeman

Joint Optimization of Cascaded Classifiers for Computer Aided Detection (PDF)

Murat Dundar and Jinbo Bi

Efficient Belief Propagation for Vision Using Linear Constraint Nodes (PDF)

Brian Potetz

Fast, Approximately Optimal Solutions for Single and Dynamic MRFs (PDF)

Nikos Komodakis, Georgios Tziritas, and Nikos Paragios

Detection/Matching/Tracking

Human Detection via Classification on Riemannian Manifolds (PDF)

Oncel Tuzel, Fatih Porikli, and Peter Meer

Matching Local Self-Similarities across Images and Videos (Projects, PDF)

Eli Shechtman and Michal Irani

Tracking in Low Frame Rate Video: A Cascade Particle Filter with Discriminative Observers of Different Lifespans (Project, No PDF yet, no PDF yet)

Yuan Li, Haizhou Ai, Takayoshi Yamashita, Shihong Lao, and Masato Kawade

Progressive Finite Newton Approach To Real-time Nonrigid Surface Detection (PDF)

Jianke Zhu and Michael R. Lyu

Search and Optimization

Approximate Nearest Subspace Search with Applications to Pattern Recognition (Project, PDF)

Ronen Basri, Tal Hassner, and Lihi Zelnik-Manor

Solving Large Scale Binary Quadratic Problems: Spectral Methods vs. Semidefinite Programming (PDF)

Carl Olsson, Anders Eriksson, and Fredrik Kahl

Optimizing binary MRFs via extended roof duality (Project, PDF, implementation)

Carsten Rother, Vladimir Kolmogorov, Victor Lempitsky, and Martin Szummer

P^{3} and Beyond: Solving Energies with Higher Order Cliques (PDF)

Pushmeet Kohli, Pawan Mudigonda, and Philip Torr

Efficient MRF Deformation Model for Non-Rigid Image Matching (PDF, project)

Alexander Shekhovtsov, Ivan Kovtun, and Vaclav Hlavac

Enhancement 2: Noise

Removal of Image Artifacts Due to Sensor Dust (Project, PDF)

Changyin Zhou and Stephen Lin

Spatio-Temporal Markov Random Field for Video Denoising (PDF)

Jia Chen and Chi-Keung Tang

Variational Distance-Dependent Image Restoration (PDF)

Ran Kaftory, Yoav Schechner, and Yehoshua Zeevi

Handwriting and Faces

Offline Signature Verification Using Online Handwriting Registration (Project, PDF)

Yu Qiao, Jianzhuang Liu, and Xiaoou Tang

Skin Detail Analysis for Face Recognition (PDF)

Jean-Sebastien Pierrard and Thomas Vetter

Generic Face Alignment using Boosted Appearance Model (PDF, PPT)

Xiaoming Liu

Shape and Boundaries

Detailed Human Shape and Pose from Images (PDF)

Alexandru Balan, Leonid Sigal, Michael Black, James Davis, and Horst Haussecker

Semi-supervised Hierarchical Models for 3D Human Pose Reconstruction (PDF)

Atul Kanaujia, Cristian Sminchisescu, and Dimitris Metaxas

Physics-Based Person Tracking Using Simplified Lower-Body Dynamics (PDF)

Marcus A. Brubaker, David J. Fleet, and Aaron Hertzmann

Detecting Object Boundaries Using Low-, Mid-, and High-level Information (PDF)

Songfeng Zheng, Zhuowen Tu, and Alan Yuille

Posters

Learning and Pattern Recognition 1

Learning Gaussian Conditional Random Fields for Low-Level Vision (PDF)

Marshall Tappen, Ce Liu, William Freeman, and Edward Adelson

Mapping Natural Image Patches by Explicit and Implicit Manifolds (PDF)

Shi Kent and Zhu Song-Chun

Hierarchical Structuring of Data on Manifolds

Jun Li and Pengwei Hao

Learning GMRF Structures for Spatial Priors

Lie Gu, Eric Xing, and Takeo Kanade

Trace Ratio vs. Ratio Trace for Dimensionality Reduction

Huan Wang, Shuicheng Yan, Dong Xu, Xiaoou Tang, and Thomas Huang

Element Rearrangement for Tensor-Based Subspace Learning (PDF)

Shuicheng Yan, Dong Xu, Stephen Lin, Thomas Huang, and Shih-Fu Chang

Incremental Linear Discriminant Analysis Using Sufficient Spanning Set Approximations (PDF)

Tae-Kyun Kim, Shu-Fai Wong, Bjorn Stenger, Josef Kittler, and Roberto Cipolla

Unsupervised Clustering using Mutli-resolution Perceptual Grouping

Tanveer Syeda-Mahmood and Fei Wang

Optical Flow and Tracking 1

Object Tracking by Asymmetric Kernel Mean Shift with Automatic Scale and Orientation Selection (PDF)

Alper Yilmaz

Free-Form Nonrigid Image Registration Using Generalized Elastic Nets (PDF)

Andriy Myronenko, Xubo Song, and Miguel Carreira-Perpinan

Improved Video Registration using Non-Distinctive Local Image Features (PDF)

Robin Hess and Alan Fern

Robust Estimation of Texture Flow Distortion via Dense Feature Sampling

Yu-Wing Tai, Michael Brown, and Chi-Keung Tang

Multiple Target Tracking Using Spatio-Temporal Markov Chain Monte Carlo Data Association

Qian Yu, Gerard Medioni, and Isaac Cohen

In situ Evaluation of Tracking Algorithms using Time Reversed Chains (PDF)

Hao Wu, Aswin Sankaranarayanan, and Rama Chellappa

Real-time Visual Tracking under Arbitrary Illumination Changes (Project & videos, PDF)

Geraldo Silveira and Ezio Malis

Tracking Large Variable Numbers of Objects in Clutter

Margrit Betke, Diane Hirsh, Angshuman Bagchi, Nickolay Hristov, Nicholas Makris, and Thomas Kunz

Learning Features for Tracking (PDF)

Michael Grabner, Helmut Grabner, and Horst Bischof

Classifying Video with Kernel Dynamic Textures (PDF)

Antoni Chan and Nuno Vasconcelos

Sensing, Photometrics, and Image Processing 1

Discontinuity Preserving Filtering over Analytic Manifolds (PDF)

Raghav Subbarao and Peter Meer

Generalized Thin-Plate Spline Warps (PDF)

Adrien Bartoli, Mathieu Perriollat, and Sylvie Chambon

Simultaneous depth reconstruction and restoration of noisy stereo images using Non-local Pixel Distribution

Yong Seok Heo, Kyoung Mu Lee, and Sang Uk Lee

Using Geometry Invariants for Camera Response Function Estimation (PDF)

Tian-Tsong Ng, Shih-Fu Chang, and Mao-Pei Tsui

Image Hallucination Using Neighbor Embedding over Visual Primitive Manifolds

Wei Fan and Dit-Yan Yeung

A Blind Source Separation Perspective on Image Restoration

Lidan Miao and Hairong Qi

Statistics of Infrared Images (Project, PDF)

Nigel Morris, Shai Avidan, Wojciech Matusik, and Hanspeter Pfister

Sensor noise modeling using the Skellam distribution: Application to the color edge detection (PDF)

Hwang Youngbae, Kim Jun-Sik, and Kweon In-So

A Probabilistic Intensity Similarity Measure based on Noise Distributions (PDF, abstract)

Yasuyuki Matsushita and Stephen Lin

Optimized Color Sampling for Robust Matting (PDF)

Jue Wang and Michael Cohen

Segmentation 1

Iterative MAP and ML Estimations for Image Segmentation

Shifeng CHEN, Liangliang CAO, Jianzhuang LIU, and Xiaoou TANG

Tree-based Classifiers for Bilayer Video Segmentation

Pei Yin, Antonio Criminisi, John Winn, and Irfan Essa

Shape statistics for image segmentation with prior

Guillaume Charpiat, Olivier Faugeras, and Renaud Keriven

Segmenting Images on the Tensor Manifold

Yogesh Rathi, Oleg Michailovich, and Allen Tannenbaum

Unsupervised Segmentation of Objects using Efficient Learning

Himanshu Arora, Nicolas Loeff, David Forsyth, and Narendra Ahuja

Nonlinear Dynamical Shape Priors for Level Set Segmentation

Daniel Cremers

A Variational Approach to the Evolution of Radial Basis Functions for Image Segmentation

Greg Slabaugh, H. Quynh Dinh, and Gozde Unal

Implicit Active Contours Driven by Local Binary Fitting Energy (PDF, project)

Chunming Li, Chiu-Yen Kao, John C. Gore, and Zhaohua Ding

A Probabilistic Model for Object Recognition, Segmentation and Non-Rigid Correspondence

Ian Simon and Steven M. Seitz

A Graph Reduction Method for 2D Snake Problems

jianhua yan, Keqi Zhang, Zhengcui Zhang, Shu-Ching Chen, and Giri Narasimhan

Shape 1

Hierarchical Matching of Deformable Shapes

Pedro Felzenszwalb and Joshua Schwartz

Delaunay Deformable Models: Topology-Adaptive Meshes Based on the Restricted Delaunay Triangulation

Jean-Philippe Pons and Jean-Daniel Boissonnat

Shape from Planar Curves: A Linear Escape from Flatland

Ady Ecker, Kiriakos Kutulakos, and Allan Jepson

Learning and Matching Line Aspects for Articulated Objects

Xiaofeng Ren

A Multi-Scale Tikhonov Regularization Scheme for Implicit Surface Modelling (PDF)

Jianke Zhu, Steven C.H. Hoi, and Michael R. Lyu

Groupwise Shape Registration on Raw Edge Sequence via A Spatio-Temporal Generative Model

Huijun Di, Naveed Rao, Guangyou Xu, and Linmi Tao

Learning and Pattern Recognition 2

Compositional Boosting for Computing Hierarchical Image Structures

Tian-Fu Wu, Gui-Song Xia, and Song-Chun Zhu

Learning Generative Models via Discriminative Approaches

Zhuowen Tu

Unsupervised Learning of Image Transformations (PDF,Technical report)

Roland Memisevic and Geoffrey Hinton

Utilizing Variational Optimization to Learn Markov Random Fields (PDF)

Marshall Tappen

Connecting the Out-of-Sample and Pre-Image Problems in Kernel Methods

Pablo Arias, Gregory Randall, and Guillermo Sapiro

Local and Weighted Maximum Margin Discriminant Analysis

Haixian Wang, Wenming Zheng, Zilan Hu, and Sibao Chen

Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction

Jianhui Chen, Jieping Ye, and Qi Li

Eigenboosting: Combining Discriminative and Generative Information

Helmut Grabner, Peter Roth, and Horst Bischof

Recognition and Detection 1

Simultaneous Object Detection and Segmentation by Boosting Local Shape Feature based Classifier

Bo Wu and Ram Nevatia

Accurate Object Detection with Deformable Shape Models Learnt from Images (PDF, bibtex)

Vittorio Ferrari, Frederic Jurie, and Cordelia Schmid

Virtual Training for Multi-View Object Class Recognition

Han-Pang Chiu, Tomas Lozano-Perez, and Leslie Kaelbling

3D LayoutCRF for Multi-View Object Class Recognition and Segmentation

Derek Hoiem, Carsten Rother, and John Winn

Feature Mining for Image Classification (PDF)

Piotr Dollar, Zhuowen Tu, Hai Tao, and Serge Belongie

Learning to Detect A Salient Object (PDF)

Tie Liu, Jian Sun, Nan-Ning Zheng, Xiaoou Tang, and Heung-Yeung Shum

OPTIMOL: automatic Object Picture collecTion via Incremental MOdel Learning (Project, PDF)

Li-Jia Li, Gang Wang, and Li Fei-Fei

Image Classification with Segmentation Graph Kernels

Zaid Harchaoui and Francis Bach

An Exemplar Model for Learning Object Classes

Ondrej Chum and Andrew Zisserman

Recognizing objects by piecing together the Segmentation Puzzle (PDF)

Timothee Cour and Jianbo Shi

Surveillance and Change Detection

PEET: Prototype Embedding and Embedding Transition for Matching Vehicles over Disparate Viewpoints

Yanlin Guo, Ying Shan, Harpreet Sawhney, and Rakesh Kumar

Motion and Appearance Contexts for Tracking and Re-Acquiring Targets in Aerial Videos (PDF)

Saad Ali, Vladimir Reilly, and Mubarak Shah

Surveillance in Virtual Reality: System Design and Multicamera Control

Faisal Qureshi and Demetri Terzopoulos

Unsupervised Activity Perception by Hierarchical Bayesian Models

Xiaogang Wang, Xiaoxu Ma, and Eric Grimson

Change Detection in a 3-d World

Thomas Pollard and Joseph Mundy

Leveraging temporal, contextual and ordering constraints for recognizing complex activities in video (PDF)

Benjamin Laxton, Jongwoo Lim, and David Kriegman

Learning Dynamic Event Descriptions in Image Sequences

Harini Veeraraghavan, Paul Schrater, and Nikos Papanikolopoulos

Trajectory Series Analysis based Event Rule Induction for Visual Surveillance

Zhang Zhang, Kaiqi Huang, Tieniu Tan, and Liangsheng Wang

Learning and Pattern Recognition 3

Fiber Tract Clustering on Manifolds With Dual Rooted-Graphs

Andy Tsai, Carl-Fredrik Westin, Alfred Hero, and Alan Willsky

Capturing long-range correlations with patch models

Vincent Cheung, Nebojsa Jojic, and Dimitris Samaras

Region Classification with Markov Field Aspect Models (PDF, bibtex)

Jakob Verbeek and Bill Triggs

Modeling Appearances with Low-Rank SVM (PDF)

Lior Wolf, Hueihan Jhuang, and Tamir Hazan

Hybrid Learning of Large Jigsaws

Julia Lasserre, Anitha Kannan, and John Winn

Variational Bayes Approach to Robust Subspace Learning

Takayuki Okatani and Koichiro Deguchi

A Variational Bayesian Approach for Classification with Corrupted Inputs

Chao Yuan and Claus Neubauer

Adaptive Distance Metric Learning for Clustering

Jieping Ye, Zheng Zhao, and Huan Liu

Features, Regions, and Boundaries

Maximally Stable Colour Regions for Recognition and Matching

Per-Erik Forssen

Discriminant Interest Points are Stable (PDF)

Dashan Gao and Nuno Vasconcelos

Image representations beyond histograms of gradients: The role of Gestalt descriptors

Stanley Bileschi and Lior Wolf

Fast Keypoint Recognition in Ten Lines of Code (PDF)

Mustafa Ozuysal, Pascal Fua, and Vincent Lepetit

Feature Extraction by Maximizing the Average Neighborhood Margin

Wang Fei and Zhang Changshui

Linear Laplacian Discrimination for Feature Extraction

Deli Zhao, Zhouchen Lin, Rong Xiao, and Xiaoou Tang

Local Image Structure Detection with Orientation-invariant Radial Configuration

Lech Szumilas, Rene Donner, Georg Langs, and Allan Hanbury

High Distortion and Non-Structural Image Matching via Feature Co-occurrence

Xi Chen and Tat-Jen Cham

Body Tracking, Gait, and Gesture 1

Scaled Motion Dynamics for Markerless Motion Capture

Bodo Rosenhahn, Thomas Brox, and Hans-Peter Seidel

Fast Human Pose Estimation using Appearance and Motion via Multi-Dimensional Boosting Regression

Alessandro Bissacco, Ming-Hsuan Yang, and Stefano Soatto

Tracking-as-Recognition for Articulated Full-Body Human Motion Analysis

Patrick Peursum, Svetha Venkatesh, and Geoff West

Single View Human Action Recognition using Key Pose Matching and Viterbi Path Searching

Fengjun Lv and Ramakant Nevatia

A Hierarchical Model of Shape and Appearance for Human Action Classification

Juan Carlos Niebles and Li Fei-Fei

Bilattice-based Logical Reasoning for Human Detection

Vinay Shet, Jan Neumann, Visvanathan Ramesh, and Larry Davis

Detecting Pedestrians by Learning Shapelet Features

Payam Sabzmeydani and Greg Mori

Epitomic Representation of Human Activities

Naresh Cuntoor and Rama Chellappa

Incorporating On-demand Stereo for Real Time Recognition (PDF)

Thomas Deselaers, Antonio Criminisi, John Winn, and Ankur Agarwal

Tensor Canonical Correlation Analysis for Action Classification

Tae-Kyun Kim, Shu-Fai Wong, and Roberto Cipolla

Shape Variation-Based Frieze Pattern for Robust Gait Recognition

Seungkyu Lee, Yanxi Liu, and Robert Collins

Retrieval and Search 1

Searching video for complex activities with finite state models

Nazli Ikizler and David Forsyth

Probabilistic Reverse Annotation for Large Scale Image Retrieval

Pramod Sankar K. and Jawahar C. V.

From Videos to Verbs: Mining Videos for Activities using a cascade of dynamical systems

Pavan Turaga, Ashok Veeraraghavan, and Rama Chellappa

Weighted Substructure Mining for Image Analysis (Project, PDF)

Sebastian Nowozin, Koji Tsuda, Takeaki Uno, Taku Kudo, and Gökhan Bakir

Object retrieval with large vocabularies and fast spatial matching (PDF)

James Philbin, Ondrej Chum, Michael Isard, Josef Sivic, and Andrew Zisserman

Learning Visual Representations using Images with Captions (PDF)

Ariadna Quattoni, Michael Colllins, and Trevor Darrell

A Binning Scheme for Fast Hard Drive Based Image Search

Friedrich Fraundorfer, Stewenius Henrik, and David Nister

Shape 2

A Novel Representation for Riemannian Analysis of Elastic Curves in R^n

Shantanu Joshi, Eric Klassen, Anuj Srivastava, and Ian Jermyn

On Stable Evolution of Parametric Curves (PDF)

Srikrishnan V, Subhasis Chaudhuri, Sumantra Dutta, and Daniel Sevcovic

Visual Curvature

HaiRong Liu, Longin Latecki, WenYu Liu, and Xiang Bai

Riemannian Analysis of Probability Density Functions with Applications in Vision

Anuj Srivastava, Ian Jermyn, and Shantanu Joshi

Shape Representation and Registration using Vector Distance Functions

Hossam Abd and Aly Farag

Layered Graph Match with Graph Editing

Liang Lin, Song-Chun Zhu, and Yongtian Wang

Sensing, Photometrics, and Image Processing 2

Spatial-Depth Super Resolution for Range Images (Poject, PDF)

Qingxiong Yang, Ruigang Yang, James Davis, and David Nister

The hyperbolic geometry of illumination induced chromaticity changes

Reiner Lenz, Pedro Latorre Carmona, and Peter Meer

Radiometric Calibration from Noise Distributions (PDF, abstract)

Yasuyuki Matsushita and Stephen Lin

Automatic Removal of Chromatic Aberration from a Single Image

Sing Bing Kang

Detecting specular surfaces on natural images (PDF)

Andrey DelPozo and Silvio Savarese

Variable Bandwidth Image Denoising Using Image-based Noise Models

Noura Azzabou, Nikos Paragios, Frederic Guichard, and Frederic Cao

Estimating Scale of a Scene from a Single Image Based on Defocus Blur and Scene Geometry

Takayuki Okatani and Koichiro Deguchi

Learning Color Names from Real-World Images (Project, PDF, bibtex)

Joost vander Weijer, Cordelia Schmid, and Jakob Verbeek

Active Aperture Control and Sensor Modulation for Flexible Imaging

Chunyu Gao, Narendra Ahuja, and Hong Hua

Retrieval and Search 2

A Topic-Motion Model for Unsupervised Video Object Discovery

David Liu and Tsuhan Chen

Content-Based Image Annotation Refinement (PDF)

Changhu Wang, Feng Jing, Lei Zhang, and Hong-Jiang Zhang

Discovery of Collocation patterns: from Visual Words to Visual Phrases

Junsong Yuan, Ying Wu, and Ming Yang

Multi-modal Clustering for Multimedia Collections (PDF)

Ron Bekkerman and Jiwoon Jeon

Reducing correspondence ambiguity in loosely labeled training data

Kobus Barnard and Quanfu Fan

Pyramid Match Hashing: Sub-Linear Time Indexing Over Partial Correspondences (PDF, project)

Kristen Grauman and Trevor Darrell

Visual Event Recognition in News Video using Kernel Methods with Multi-Level Temporal Alignment

Dong Xu and Shih-Fu Chang

Efficient Indexing For Articulation Invariant Shape Matching and Retrieval (PDF)

Soma Biswas, Gaurav Aggarwal, and Rama Chellappa

Segmentation 2

A Topological Approach to Hierarchical Segmentation using Mean Shift (PDF, video)

Sylvain Paris and Fredo Durand

Multiple Class Segmentation Using A Unified Framework over Mean-Shift Patches

Lin Yang, Peter Meer, and David Foran

Multi-label image segmentation via max-sum solver

Branislav Micusik and Tomas Pajdla

ROI-SEG: Unsupervised Color Segmentation by Combining Differently Focused Sub Results

Michael Donoser and Horst Bischof

Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework

Omer Rotem, Hayit Greenspan, and Jacob Goldberger

Image Segmentation by Probabilistic Bottom-Up Aggregation and Cue Integration (PDF, evaluation data)

Sharon Alpert, Meirav Galun, Ronen Basri, and Achi Brandt

CRF-driven Implicit Deformable Model

Gabriel Tsechpenakis and Dimitris Metaxas

Joint Object Segmentation and Behavior Classification in Image Sequences

Laura Gui, Jean-Philippe Thiran, and Nikos Paragios

Segmenting Motions of Different Types by Unsupervised Manifold Clustering (PDF)

Alvina Goh and Rene Vidal Vidal

Recognition and Detection 3

Fisher Kernels on Visual Vocabularies for Image Categorization

Florent Perronnin and Christopher Dance

General Purpose Object Detection: A Spectral Residual Approach

Xiaodi Hou and Liqing Zhang

Partially Occluded Object-Specific Segmentation in View-Based Recognition

Min Su Cho and Kyoung Mu Lee

Towards Scalable Representations of Object Categories: Learning a Hierarchy of Parts

Sanja Fidler and Ales Leonardis

Discriminative Cluster Refinement: Improving Object Category Recognition Given Limited Training Data (PDF)

Liu Yang, Rong Jin, Caroline Pantofaru, and Rahul Sukthankar

Using segmentation to verify object hypotheses

Deva Ramanan

Semantic Hierarchies for Visual Object Recognition (PDF, abstract & bibtex)

Marcin Marszalek and Cordelia Schmid

Discriminant Additive Tangent Spaces for Object Recognition

Liang Xiong, Jianguo Li, and Changshui Zhang

Detector Ensemble (PDF)

Shengyang Dai, Ming Yang, Ying Wu, and Aggelos Katsaggelos

Joint Real-time Object Detection and Pose Estimation Using Probabilistic Boosting Network

Jingdan Zhang, Shaohua Kevin Zhou, Leonard McMillan, and Dorin Comaniciu

Body Tracking, Gait, and Gesture 2

Marker-less Deformable Mesh Tracking for Human Shape and Motion Capture

Edilson de Aguiar, Christian Theobalt, Carsten Stoll, and Hans-Peter Seidel

Bridging the Gap between Detection and Tracking for 3D Monocular Video-Based Motion Capture

Andrea Fossati, Miodrag Dimitrijevic, Vincent Lepetit, and Pascal Fua

Recognizing Human Activities from Silhouettes: Motion Subspace and Factorial Discriminative Graphical Model

Liang Wang and David Suter

Latent-Dynamic Discriminative Models for Continuous Gesture Recognition (PDF)

Louis-Philippe Morency, Ariadna Quattoni, and Trevor Darrell

Towards Reliable Pedestrian Detection in Crowded Image Sequences

Edgar Seemann, Mario Fritz, and Bernt Schiele

Bottom-up Recognition and Parsing of the Human Body (PDF)

Praveen Srinivasan and Jianbo Shi

Accurately measuring human movement using articulated ICP with soft-joint constraints and a repository of articulated models

Lars Muendermann, Stefano Corazza, and Thomas Andriacchi

Real-time Gesture Recognition with Minimal Training Requirements and On-line Learning

Stjepan Rajko, Gang Qian, Todd Ingalls, and Jodi James

Objects in Action: An Approach for Combining Action Understanding and Object Perception

Abhinav Gupta and Larry Davis

Learning Motion Categories using both Semantic and Structural Information (PDF)

Shu-Fai Wong, Tae-Kyun Kim, and Roberto Cipolla

On the Blind Classification of Time Series

Alessandro Bissacco and Stefano Soatto