Week 23
- A.L. Yuille, CCCP algorithms to Minimize the Bethe and Kikuchi Free Energies, Neural Computation 2002.
- A.L. Yuille, A. Rangarajan, The Concave-Convex Procedure. Neural Computation 2003.
- Y. Nishiyama, S. Watanabe, Generalization of Concave and Convex Decomposition in Kikuchi Free Energy. ICANN 2008.
- Test
Week 22
- Ali Farhadi, Ian Endres, Derek Hoiem, David Forsyth, Describing Objects by their Attributes, CVPR 2009.
Week 21
- A. Torralba, R. Fergus, Y. Weiss, Small Codes and Large Image Databases for Recognition, CVPR 2008.
- S. Divvala, D. Hoiem, J. Hays, A. Efros1, M. Hebert, An Empirical Study of Context in Object Detection, CVPR 2009.
Week 20
- E. Sudderth, A. Torralba, W. Freeman, A. Willsky, Describing Visual Scenes using Transformed Objects and Parts, IJCV 2008.
Week 19
- A. Efros and W. T Freeman, Image quilting for texture synthesis and transfer, SIGGRAPH 2001.
- Beal, M.J., Ghahramani, Z. and Rasmussen, C.E. The Infinite Hidden Markov Model. NIPS 14:577-584,
- Long Zhu, Yuanhao Chen, William Freeman, Antonio Torralba. Nonparametric Bayesian Texture Learning and Synthesis. NIPS 2009.
Week 18
- J. Wainwright and M. I. Jordan, Graphical models, exponential families, and variational inference. Foundations and Trends in Machine Learning, December 2008.
Week 17
- John Olisensis, Iterative extensions of the Sturm/Triggs algorithm: convergence and nonconvergence, TPAMI 2007.
Week 16
- Lubor Ladicky, Chris Russell, Pushmeet Kohli, Philip Torr. Associative Hierarchical CRFs for Object Class Image Segmentation. ICCV 2009.
Week 15
- Boris Epshtein, Shimon Ullman. Semantic Hierarchies for Recognizing Objects and Parts. CVPR 2007.
- Boris Epshtein, Shimon Ullman. Feature Hierarchies for Object Classification. ICCV 2005.
Week 14
- P. Arbelaez, M. Maire, C. Fowlkes, and J. Malik. From Contours to Regions: An Empirical Evaluation. CVPR 2009.
- Chunhui Gu, Joseph J. Lim, Pablo Arbelaez and J. Malik. Recognition Using Regions. CVPR 2009.
Week 13
- Honglak Lee, Roger Grosse, Rajesh Ranganath and Andrew Y. Ng. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations, ICML 2009.
- Honglak Lee, Ekanadham Chaitanya, and Andrew Y. Ng. Sparse deep belief net model for visual area V2, NIPS 2007.
- S. Todorovic and N. Ahuja, Unsupervised Category Modeling, Recognition, and Segmentation in Images, TPAMI 2008.
- M. Tabb and N. Ahuja, Unsupervised Multiscale Image Segmentation by Integrated Edge and Region Detection, IEEE Transactions on Image Processing, May 1997.
Week 12
- Andrew Stein and Martial Hebert, Occlusion Boundaries from Motion: Low-Level Detection and Mid-Level Reasoning International Journal on Computer Vision, April 2009.
Week 11
- Xiang Bai, Xinggang Wang, Wenyu Liu, Longin Jan Latecki, and Zhuowen Tu, Active Skeleton for Non-rigid Object Detection, ICCV 2009.
- Y. Karklin and M.S. Lewicki, Emergence of complex cell properties by learning to generalize in natural scenes, Nature 2008
- Image Dehazing (CVPR 2009 Best Paper)
Week 10
- A. Barbu. Training an Active Random Field for Real-Time Image Denoising. To appear in IEEE Trans. Image Processing.
- R. Socher, A. Barbu, D. Comaniciu. A Learning Based Hierarchical Model for Vessel Segmentation. IEEE International Symposium on Biomedical Imaging, 2008.
Week 9
- Ashutosh Saxena, Min Sun, Andrew Y. Ng, Make3D: Learning 3-D Scene Structure from a Single Still Image, TPAMI 2008.
- Ashutosh Saxena, Sung H. Chung, and Andrew Y. Ng. 3-D depth reconstruction from a single still image, International Journal of Computer Vision (IJCV), 2007
- Geremy Heitz, Stephen Gould, Ashutosh Saxena, Daphne Koller. Cascaded Classification Models: Combining Models for Holistic Scene Understanding. NIPS 2008
Week 8
- Bj?rn Ommer, Theodor Mader and Joachim M. Buhmann, Seeing the Objects Behind the Dots: Recognition in Videos from a Moving Camera, International Journal of Computer Vision, 2009
Week 7
- B. Yao and S.C. Zhu, Learning Deformable Action Templates from Crowded Videos, ICCV 2009.
- Z.Z. Si, H.F. Gong, Y.N. Wu, and S.C. Zhu, Learning Mixed Templates for Object Recognition, CVPR 2009
Week 6
- D. Ramanan, D. A. Forsyth, A. Zisserman. Tracking People by Learning their Appearance, TPAMI, Jan 2007.
- D. Ramanan, D. A. Forsyth, K. Barnard. Building Models of Animals from Video, TPAMI, August 2006.
Week 5
- Arthur Choi and Adnan Darwiche. An Edge Deletion Semantics for Belief Propagation and its Practical Impact on Approximation Quality. AAAI 2006.
- Arthur Choi, Mark Chavira and Adnan Darwiche. Node Splitting: A Scheme for Generating Upper Bounds in Bayesian Networks. UAI 2007.
Week 4
- I. Kokkinos and A. Yuille, HOP: Hierarchical Object Parsing, CVPR 2009.
- I. Kokkinos and A. Yuille, Unsupervised Learning of Object Deformation Models, ICCV 2007.
Week 3
- A. B. Chan and N. Vasconcelos. Modeling, clustering, and segmenting video with mixtures of dynamic textures, TPAMI, May 2008.
Week 2
Week 1
- Yi Ma, Harm Derksen, Wei Hong, and John Wright, Segmentation of Multivariate Mixed Data via Lossy Coding and Compression, TPAMI, September 2007.