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ORCIDCVPR 2007: Minneapolis, Minnesota, USA
- 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 18-23 June 2007, Minneapolis, Minnesota, USA. IEEE Computer Society 2007, ISBN 1-4244-1179-3
Oral session 1A: Matching and Features
- Eric Nowak, Frédéric Jurie:
Learning Visual Similarity Measures for Comparing Never Seen Objects. - Hervé Jégou, Hedi Harzallah, Cordelia Schmid:
A contextual dissimilarity measure for accurate and efficient image search. - Simon A. J. Winder, Matthew A. Brown:
Learning Local Image Descriptors. - Hongli Deng, Wei Zhang, Eric N. Mortensen, Thomas G. Dietterich, Linda G. Shapiro:
Principal Curvature-Based Region Detector for Object Recognition. - Alexander Toshev, Jianbo Shi, Kostas Daniilidis:
Image Matching via Saliency Region Correspondences.
Oral session 1B: Motion Segmentation and Tracking
- Roberto Tron, René Vidal:
A Benchmark for the Comparison of 3-D Motion Segmentation Algorithms. - Hongdong Li
:
Two-View Motion Segmentation from Linear Programming Relaxation. - Le Lu, Gregory D. Hager:
A Nonparametric Treatment for Location/Segmentation Based Visual Tracking. - Saad Ali, Mubarak Shah:
A Lagrangian Particle Dynamics Approach for Crowd Flow Segmentation and Stability Analysis. - Hua Yang, Marc Pollefeys, Greg Welch, Jan-Michael Frahm, Adrian Ilie:
Differential Camera Tracking through Linearizing the Local Appearance Manifold.
Posters: Learning and Pattern Recognition 1
- Marshall F. Tappen, Ce Liu, Edward H. Adelson, William T. Freeman:
Learning Gaussian Conditional Random Fields for Low-Level Vision. - Kent Shi, Song Chun Zhu:
Mapping Natural Image Patches by Explicit and Implicit Manifolds. - Jun Li, Pengwei Hao:
Hierarchical Structuring of Data on Manifolds. - Lie Gu, Eric P. Xing, Takeo Kanade:
Learning GMRF Structures for Spatial Priors. - Huan Wang, Shuicheng Yan, Dong Xu, Xiaoou Tang, Thomas S. Huang:
Trace Ratio vs. Ratio Trace for Dimensionality Reduction. - Shuicheng Yan, Dong Xu, Stephen Lin, Thomas S. Huang, Shih-Fu Chang:
Element Rearrangement for Tensor-Based Subspace Learning. - Tae-Kyun Kim, Shu-Fai Wong, Björn Stenger, Josef Kittler, Roberto Cipolla:
Incremental Linear Discriminant Analysis Using Sufficient Spanning Set Approximations. - Tanveer Fathima Syeda-Mahmood, Fei Wang:
Unsupervised Clustering using Multi-Resolution Perceptual Grouping.
Posters: Optical Flow and Tracking 1
- Alper Yilmaz:
Object Tracking by Asymmetric Kernel Mean Shift with Automatic Scale and Orientation Selection. - Andriy Myronenko, Xubo B. Song, Miguel Á. Carreira-Perpiñán:
Free-Form Nonrigid Image Registration Using Generalized Elastic Nets. - Robin Hess, Alan Fern:
Improved Video Registration using Non-Distinctive Local Image Features. - Yu-Wing Tai, Michael S. Brown, Chi-Keung Tang:
Robust Estimation of Texture Flow via Dense Feature Sampling. - Qian Yu, Gérard G. Medioni, Isaac Cohen:
Multiple Target Tracking Using Spatio-Temporal Markov Chain Monte Carlo Data Association. - Hao Wu, Aswin C. Sankaranarayanan, Rama Chellappa:
In Situ Evaluation of Tracking Algorithms Using Time Reversed Chains. - Geraldo F. Silveira, Ezio Malis:
Real-time Visual Tracking under Arbitrary Illumination Changes. - Margrit Betke, Diane E. Hirsh, Angshuman Bagchi, Nickolay I. Hristov, Nicholas C. Makris, Thomas H. Kunz:
Tracking Large Variable Numbers of Objects in Clutter. - Michael Grabner, Helmut Grabner, Horst Bischof:
Learning Features for Tracking. - Antoni B. Chan, Nuno Vasconcelos:
Classifying Video with Kernel Dynamic Textures.
Posters: Sensing, Photometrics, and Image Processing 1
- Raghav Subbarao, Peter Meer:
Discontinuity Preserving Filtering over Analytic Manifolds. - Adrien Bartoli, Mathieu Perriollat, Sylvie Chambon:
Generalized Thin-Plate SplineWarps. - Yong Seok Heo, Kyoung Mu Lee, Sang Uk Lee:
Simultaneous Depth Reconstruction and Restoration of Noisy Stereo Images using Non-local Pixel Distribution. - Tian-Tsong Ng, Shih-Fu Chang, Mao-Pei Tsui:
Using Geometry Invariants for Camera Response Function Estimation. - Wei Fan, Dit-Yan Yeung:
Image Hallucination Using Neighbor Embedding over Visual Primitive Manifolds. - Lidan Miao, Hairong Qi:
A Blind Source Separation Perspective on Image Restoration. - Nigel J. W. Morris, Shai Avidan, Wojciech Matusik, Hanspeter Pfister:
Statistics of Infrared Images. - Youngbae Hwang, Jun-Sik Kim, In-So Kweon:
Sensor noise modeling using the Skellam distribution: Application to the color edge detection. - Yasuyuki Matsushita, Stephen Lin:
A Probabilistic Intensity Similarity Measure based on Noise Distributions. - Jue Wang, Michael F. Cohen:
Optimized Color Sampling for Robust Matting.
Posters: Segmentation 1
- Shifeng Chen, Liangliang Cao, Jianzhuang Liu, Xiaoou Tang:
Iterative MAP and ML Estimations for Image Segmentation. - Pei Yin, Antonio Criminisi, John M. Winn, Irfan A. Essa:
Tree-based Classifiers for Bilayer Video Segmentation. - Guillaume Charpiat, Olivier D. Faugeras, Renaud Keriven:
Shape Statistics for Image Segmentation with Prior. - Yogesh Rathi, Allen R. Tannenbaum, Oleg V. Michailovich:
Segmenting Images on the Tensor Manifold. - Himanshu Arora, Nicolas Loeff, David A. Forsyth, Narendra Ahuja:
Unsupervised Segmentation of Objects using Efficient Learning. - Daniel Cremers:
Nonlinear Dynamical Shape Priors for Level Set Segmentation. - Greg G. Slabaugh, Huong Quynh Dinh, Gozde B. Unal:
A Variational Approach to the Evolution of Radial Basis Functions for Image Segmentation. - Chunming Li, Chiu-Yen Kao, John C. Gore, Zhaohua Ding:
Implicit Active Contours Driven by Local Binary Fitting Energy. - Ian Simon, Steven M. Seitz:
A Probabilistic Model for Object Recognition, Segmentation, and Non-Rigid Correspondence. - Jianhua Yan, Keqi Zhang, Chengcui Zhang, Shu-Ching Chen, Giri Narasimhan:
A Graph Reduction Method for 2D Snake Problems.
Posters: Shape 1
- Sharon Alpert, Meirav Galun, Ronen Basri, Achi Brandt:
Image Segmentation by Probabilistic Bottom-Up Aggregation and Cue Integration. - Pedro F. Felzenszwalb, Joshua D. Schwartz:
Hierarchical Matching of Deformable Shapes. - Jean-Philippe Pons, Jean-Daniel Boissonnat:
Delaunay Deformable Models: Topology-Adaptive Meshes Based on the Restricted Delaunay Triangulation. - Ady Ecker, Kiriakos N. Kutulakos, Allan D. Jepson:
Shape from Planar Curves: A Linear Escape from Flatland. - Xiaofeng Ren:
Learning and Matching Line Aspects for Articulated Objects. - Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu:
A Multi-Scale Tikhonov Regularization Scheme for Implicit Surface Modelling. - Huijun Di, Rao Naveed Iqbal, Guangyou Xu, Linmi Tao:
Groupwise Shape Registration on Raw Edge Sequence via A Spatio-Temporal Generative Model.
Posters: Navigation and SLAM
- Anelia Angelova, Larry H. Matthies, Daniel M. Helmick, Pietro Perona:
Fast Terrain Classification Using Variable-Length Representation for Autonomous Navigation. - Sinisa Segvic, Anthony Remazeilles, Albert Diosi, François Chaumette:
Large scale vision-based navigation without an accurate global reconstruction. - Denis Chekhlov, Mark Pupilli, Walterio W. Mayol-Cuevas, Andrew Calway:
Robust Real-Time Visual SLAM Using Scale Prediction and Exemplar Based Feature Description. - Olivier Koch, Seth J. Teller:
Wide-Area Egomotion Estimation from Known 3D Structure.
Oral session 2A: Enhancement 1: Blur and Resolution
- Shengyang Dai, Mei Han, Wei Xu, Ying Wu, Yihong Gong:
Soft Edge Smoothness Prior for Alpha Channel Super Resolution. - Jiaya Jia:
Single Image Motion Deblurring Using Transparency. - Amit K. Agrawal, Ramesh Raskar:
Resolving Objects at Higher Resolution from a Single Motion-blurred Image.
Oral session 2B: Medical
- Joseph Schlecht, Kobus Barnard, Ekaterina H. Spriggs, Barry Pryor:
Inferring Grammar-based Structure Models from 3D Microscopy Data. - Yang Li, Tiow Seng Tan, Ihar Volkau, Wieslaw L. Nowinski:
Model-Guided Segmentation of 3D Neuroradiological Image Using Statistical Surface Wavelet Model. - Adrian Barbu, Vassilis Athitsos, Bogdan Georgescu, Stefan Böhm, Peter Durlak, Dorin Comaniciu:
Hierarchical Learning of Curves Application to Guidewire Localization in Fluoroscopy.
Posters: Learning and Pattern Recognition 2
- Tianfu Wu, Gui-Song Xia, Song Chun Zhu:
Compositional Boosting for Computing Hierarchical Image Structures. - Zhuowen Tu:
Learning Generative Models via Discriminative Approaches. - Roland Memisevic, Geoffrey E. Hinton:
Unsupervised Learning of Image Transformations. - Marshall F. Tappen:
Utilizing Variational Optimization to Learn Markov Random Fields. - Pablo Arias, Gregory Randall, Guillermo Sapiro:
Connecting the Out-of-Sample and Pre-Image Problems in Kernel Methods. - Haixian Wang, Wenming Zheng, Zilan Hu, Sibao Chen:
Local and Weighted Maximum Margin Discriminant Analysis. - Jianhui Chen, Jieping Ye, Qi Li:
Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction. - Helmut Grabner, Peter M. Roth, Horst Bischof:
Eigenboosting: Combining Discriminative and Generative Information.
Posters: Recognition and Detection 1
- Bo Wu, Ram Nevatia:
Simultaneous Object Detection and Segmentation by Boosting Local Shape Feature based Classifier. - Vittorio Ferrari, Frédéric Jurie, Cordelia Schmid:
Accurate Object Detection with Deformable Shape Models Learnt from Images. - Han-Pang Chiu, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Virtual Training for Multi-View Object Class Recognition. - Derek Hoiem, Carsten Rother, John M. Winn:
3D LayoutCRF for Multi-View Object Class Recognition and Segmentation. - Piotr Dollár, Zhuowen Tu, Hai Tao, Serge J. Belongie:
Feature Mining for Image Classification. - Tie Liu, Jian Sun, Nanning Zheng, Xiaoou Tang, Heung-Yeung Shum:
Learning to Detect A Salient Object. - Li-Jia Li, Gang Wang, Li Fei-Fei:
OPTIMOL: automatic Online Picture collecTion via Incremental MOdel Learning. - Zaïd Harchaoui, Francis R. Bach:
Image Classification with Segmentation Graph Kernels. - Ondrej Chum, Andrew Zisserman:
An Exemplar Model for Learning Object Classes. - Timothée Cour, Jianbo Shi:
Recognizing objects by piecing together the Segmentation Puzzle.
Posters: Faces and Biometrics 1
- Dahua Lin, Xiaoou Tang:
Quality-Driven Face Occlusion Detection and Recovery. - Shalini Gupta, J. K. Aggarwal, Mia K. Markey, Alan C. Bovik:
3D Face Recognition Founded on the Structural Diversity of Human Faces. - Deng Cai, Xiaofei He, Yuxiao Hu, Jiawei Han, Thomas S. Huang:
Learning a Spatially Smooth Subspace for Face Recognition. - Jin-Li Suo, Feng Min, Song Chun Zhu, Shiguang Shan, Xilin Chen:
A Multi-Resolution Dynamic Model for Face Aging Simulation. - Fernando De la Torre, Alvaro Collet, Manuel Quero, Jeffrey F. Cohn, Takeo Kanade:
Filtered Component Analysis to Increase Robustness to Local Minima in Appearance Models. - Dragomir Anguelov, Kuang-chih Lee, Salih Burak Göktürk, Baris Sumengen:
Contextual Identity Recognition in Personal Photo Albums. - Jason M. Saragih, Roland Göcke:
Monocular and Stereo Methods for AAM Learning from Video. - Peng Yang, Qingshan Liu, Dimitris N. Metaxas:
Boosting Coded Dynamic Features for Facial Action Units and Facial Expression Recognition. - Peter H. Tu, Rebecca Book, Xiaoming Liu, Nils Krahnstoever, Carl Adrian, Phil Williams:
Automatic Face Recognition from Skeletal Remains. - Peng Wang, Christian Köhler, Fred Barrett, Raquel E. Gur, Ruben C. Gur, Ragini Verma:
Quantifying Facial Expression Abnormality in Schizophrenia by Combining 2D and 3D Features.
Posters: Geometry and Structure-From-Motion 1
- Jean-Philippe Tardif, Adrien Bartoli, Martin Trudeau, Nicolas Guilbert, Sébastien Roy:
Algorithms for Batch Matrix Factorization with Application to Structure-from-Motion. - Zuzana Kukelova, Tomás Pajdla:
A minimal solution to the autocalibration of radial distortion. - Yaser Sheikh, Asaad Hakeem, Mubarak Shah:
On the Direct Estimation of the Fundamental Matrix. - Christopher Geyer, Henrik Stewénius:
A Nine-point Algorithm for Estimating Para-Catadioptric Fundamental Matrices. - Benoît Bocquillon, Adrien Bartoli, Pierre Gurdjos, Alain Crouzil:
On Constant Focal Length Self-Calibration From Multiple Views. - Manmohan Krishna Chandraker, Sameer Agarwal, Fredrik Kahl, David Nistér, David J. Kriegman:
Autocalibration via Rank-Constrained Estimation of the Absolute Quadric. - Hongdong Li:
A practical algorithm for L triangulation with outliers.
Posters: Surveillance and Change Detection
- Yanlin Guo, Ying Shan, Harpreet S. Sawhney, Rakesh Kumar:
PEET: Prototype Embedding and Embedding Transition for Matching Vehicles over Disparate Viewpoints. - Saad Ali, Vladimir Reilly, Mubarak Shah:
Motion and Appearance Contexts for Tracking and Re-Acquiring Targets in Aerial Videos. - Faisal Z. Qureshi, Demetri Terzopoulos:
Surveillance in Virtual Reality: System Design and Multi-Camera Control. - Xiaogang Wang, Xiaoxu Ma, Eric Grimson:
Unsupervised Activity Perception by Hierarchical Bayesian Models. - Thomas B. Pollard, Joseph L. Mundy:
Change Detection in a 3-d World. - Benjamin Laxton, Jongwoo Lim, David J. Kriegman:
Leveraging temporal, contextual and ordering constraints for recognizing complex activities in video. - Harini Veeraraghavan, Nikolaos Papanikolopoulos, Paul R. Schrater:
Learning Dynamic Event Descriptions in Image Sequences. - Zhang Zhang, Kaiqi Huang, Tieniu Tan, Liangsheng Wang:
Trajectory Series Analysis based Event Rule Induction for Visual Surveillance.
Graphics and Computational Photography
- Oliver J. Woodford, Ian D. Reid, Andrew W. Fitzgibbon:
Efficient new-view synthesis using pairwise dictionary priors. - Victor S. Lempitsky, Denis V. Ivanov:
Seamless Mosaicing of Image-Based Texture Maps. - Jue Wang, Michael F. Cohen:
Simultaneous Matting and Compositing. - Jian Sun, Jian Sun, Sing Bing Kang, Zongben Xu, Xiaoou Tang, Heung-Yeung Shum:
Flash Cut: Foreground Extraction with Flash and No-flash Image Pairs. - Eli Arbel, Hagit Hel-Or:
Texture-Preserving Shadow Removal in Color Images Containing Curved Surfaces. - Matthew A. Brown, Richard I. Hartley, David Nistér:
Minimal Solutions for Panoramic Stitching.
Oral session 3A: Learning and Shape
- Minh-Tri Pham, Tat-Jen Cham:
Online Learning Asymmetric Boosted Classifiers for Object Detection. - Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh:
Local Ensemble Kernel Learning for Object Category Recognition. - Marcin Marszalek, Cordelia Schmid:
Accurate Object Localization with Shape Masks. - Boris Epshtein, Shimon Ullman:
Semantic Hierarchies for Recognizing Objects and Parts.
Oral session 3B: 3D and Geometry
- Taragay Oskiper, Zhiwei Zhu, Supun Samarasekera, Rakesh Kumar:
Visual Odometry System Using Multiple Stereo Cameras and Inertial Measurement Unit.