The 6th International Conference Energy Minimization Methods in Computer Vision and Pattern Recognition

Aug. 28 2007--Aug.30 2007

Lotus Hill Research Institute for Computer vision and Information Science

Participants list

The subject of conference: 

The conference discussed the key issues on computer vision and pattern recognition, such as probability inference and energy function optimization.

    Many problems in computer vision and pattern recognition can be formulated in terms of probabilistic inference or optimization of energy functions. EMMCVPR 2007 will address the critical issues of representation, learning, and inference. The first major theme is how to represent visual problems in terms of probabilistic inference using sophisticated probability distributions defined over structured relational systems, such as graphs and generative grammars. The second theme is the development of efficient learning and inference algorithms using advanced techniques from statistics, computer science, and applied mathematics. A third theme is the use of datasets with groundtruth to act as benchmarks for evaluating algorithms and as a way to train learning algorithms. A fourth theme is the relation of high-level vision to more general cognitive processes, including functional and semantic level descriptions in real world scenes. Additional topics include issues such as image parsing, cue integration, and the trade-offs between bottom-up and top-down processing. 

     In August, 2007, we held this conference subsidized by Chinese National Natural Sciences Foundation and IAPR. Thirty- five foreign scholars and professors, who are from UCLA, University of Pennsylvania, Brown University, University of Washington, Philadelphia University, University of Western Ontario, Swiss Federal Institute of Tech, Universitat Bonn, The University of Edinburgh, University of Venice, National University of Korea and Chiba University, attended this conference. Meanwhile, Seventy-five domestic scholars and professors from CIT, Qinghua University, Peking University, Bei-Hang University, Beijing Institute of Technology, Communication University of China, Fudan University, Zhejiang University, Wuhan University, and Huazhong University of Science and Technology were also present at the conference.Both professor Michael Black from Brown University and professor Joachim Buhmann from Swiss Federal Institute of Tech gave a special invited report respectively, titled "Fields of Experts: High-order Markov Random Field Models of Natural Scenes","Stochastic Optimization: A Learning Methodology for Vision". This brought the latest research results in the field of Computer Vision to conventioneers.

(Save the above photo onto your local machine, it will be a high resolution photo)

Professor Michael Black, from Brown University of USA, presented a special invited report, titled
" Field of Experts: High-order Markov Random Field Models Natural Scenes "

Professor Joachim Buhmann, from Institution of Computer Science in Switzerland, presented a special report, titled
" Stochastic Optimization: A learning Methodology for Vision "

Oral Presentations:

1. Improved Object Tracking Using an Adaptive Colour Model
--- Zezhi Chen and Andrew M. Wallace
2. Compositional Object Recognition, Segmentation, and Tracking in Video
--- Bjorn Ommer and Joachim M. Buhmann
3. Bayesian Order-Adaptive Clustering for Video Segmentation
--- Peter Orbanz, Samuel Braendle, & Joachim Buhmann
4. Dynamic Feature Cascade for Multiple Object Tracking with Trackability Analysis
--- Zheng Li, Haifeng Gong, Song-Chun Zhu, and Nong Sang
5. Bottom-Up Recognition and Parsing of the Human Body
--- Praveen Srinivasan and Jianbo Shi
6. Introduction to a Large-Scale General Purpose Ground Truth Database: Methodology, Annotation Tool and Benchmarks
--- Benjamin Yao, Michael Yang, and Song-Chun Zhu
7. An Automatic Portrait System based on And-Or Graph Representation
--- Feng Min, Jin-Li Sun, Song-Chun Zhu, and Nong Sang
8. Object Category Recognition Using Generative Template Boosting
--- Woody Peng, Liang Lin, Jake Porway, Nong Sang, and Song-Chun Zhu
9. Bayesian Inference for Layer Representation with Mixed Markov Random Field
--- Ru-Xin Gao, Tian-Fu Wu, Song-Chun Zhu, and Nong Sang
10. Continuous Global Optimization in Multiview 3D Reconstruction
--- Kalin Kolev, Maria Klodt, Thomas Brox, Selim Esedoglu, and Daniel Cremers
11. A New Bayesian Method for Range Image Segmentation
--- Smaine Mazouzi and Mohamed Batouche
12. Szemeredi' s Regularity Lemma and its Applications to Pairwise Clustering and Segmentation
--- Anna Sperotto & Marcello Pelillo，Samuel Rota Bulo.
13. Exact Solution of Permuted Submodular MinSum Problems
--- Dmitrij Schlesinger
14. Efficient Shape Matching Via Graph Cuts
--- Frank R. Schmidt, Eno Toppe, Daniel Cremers and Yuri Boykov
15. Simulating Classic Mosaics with Graph Cuts
--- Yu Liu, Olga Veksler and Olivier Juan
16. A Pupil Localization Algorithm based on Adapative Gabor Filtering and Negative Radial Symmetry
--- Fei Xiong, Yi Zhang, and Guilin Zhang
17. Decomposing Document Images by Heuristic Search
--- Dashan Gao and Yizhou Wang
18. An a contrario approach for parameters estimation of a motion-blurred image
--- Feng Xue, Quansheng Liu, and Jacques Forment
19. Discrete Skeleton Evolution
--- Xiang Bai and Longin Jan Latecki
20. Shape Classification Based on Skeleton Path Similarity
--- Xingwei Yang, Xiang Bai, Deguang Yu, & Longin Jan Latecki
21. Removing Shape-Preserving Transformations in Square Root Elastic (SRT) Framework for Shape Analysis of Curves
--- Shantanu H. Joshi, Eric Klassen, Anuj Srivastava, and Ian Jermyn
22. Shape Analysis of Open Curves with Applications to Study of Fiber Tracks in DT-MRI Data
--- Niokolay Balov, Anuj Srivastava, Chunming Li, and Zhaohua Ding 

Poster Presentations:

1. An Effective Multi-level Algorithm Based on Simulated Annealing for Bisecting Graph
--- Lingyu Sun, Ming Leng
2. Dichromatic reflection separation from a single image
--- Yun-Chung Chung, Shyang-Lih Chang, Shen Cherng, and Sei-Wang Chen
3. CIDER: Corrected Inverse-Denoising Filter for Image Restoration
--- You-Wei Wen, Michael Ng, Wai-ki Ching
4. Corrupted Region Restoration using Second Order Tensors and Segmentation
--- Jonghyun Park, Nguyen Trung Kien
5. 3D Computation of Gray Level Co-occurrence in Hyperspectral Image Cubes
--- Fuan Tsai, Chun-Kai Chang, Jian-Yeo Rau, Tang-Huang Lin, Gin-Ron Liu
6. Skew Detection Algorithm for Form Document Based on Elongate Feature
--- Feng-ying Xie, Zhi-guo Jiang, Lei Wang
7. Active Appearance Models Fitting with Occlusion
--- Xin Yu, Jinwen Tian, Jian Liu
8. Vehicle Tracking Based on Image Alignment in Aerial Videos
--- Hong Zhang, Fei Yuan
9. Probabilistic Fiber Tracking using Particle Filtering and Von Mises-Fisher Sampling
--- Fan Zhang, Casey Goodlett, Edwin Hancock, Guido Gerig
10. Marked Point Process for Vascular Tree Extraction on Angiogram
--- Kaiqiong Sun, Nong Sang, Tianxu Zhang
11. A Boosting Discriminative Model for Moving Cast Shadow Detection
--- Yufei Zha, Ying Chu, Duyan Bi
12. Combining Both Irises for Personal Authentication
--- Xiangqian Wu, David Zhang, Kuanquan Wang, Ning Qi
13. An Energy Minimisation Approach to Attributed Graph Regularisation
--- Zhouyu Fu, Antonio Robles-Kelly
14. Surface Reconstruction from LiDAR Data with Extended Snake Theory
--- Yi-Hsing Tseng, Kai-Pei Tang, Fu-Chen Chou

Logistics:

Time: Aug. 29 2005-Sept. 2 2005

Location: The Pheonix Hotel

The route: You can directly take the Z37 train in Beijing to Wuhan railway station in Wuchang; then take the
long-distance bus bound for E-zhou in Fujiapo bus station (It only costs 5 to 10 yuan by a taxi from the railway
station to Fujiapo bus station.), and at last take a taxi(about ten RMB) to the destination—The Pheonix Hotel.