CMPT882, Summer 2009: Paper presentations

For each topic, I will present important papers describing methods for attacking the problems. Each student will present a recent research paper on one of these topics. The above table contains the list of papers chosen. A list of recommended papers, organized by topic, is below. (This list is not exhaustive, if you would like to present a different paper, please do ask.)

Shape / Deformable template matching:

• H. Ling and D.W. Jacobs, Using the Inner-Distance for Classification of Articulated Shapes, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2005.
• V. Ferrari, L. Fevrier, F. Jurie, and C. Schmid, Groups of Adjacent Contour Segments for Object Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, (January 2008)
  • V. Ferrari, T. Tuytelaars, and L. Van Gool, Object Detection by Contour Segment Networks, European Conference on Computer Vision (ECCV), Graz, May 2006.
• Alexander C. Berg, Tamara L. Berg, Jitendra Malik, Shape Matching and Object Recognition using Low Distortion Correspondence, IEEE Computer Vision and Pattern Recognition (CVPR) 2005

Faces:

• A. B. Ashraf, S. Lucey, T. Chen, Learning patch correspondences for improved viewpoint invariant face recognition, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2008.
• M. Cox, S. Lucey, and S. Sridharan, Least squares congealing for unsupervised alignment of images, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2008.
• Eric Nowak and Frederic Jurie, Learning Visual Similarity Measures for Comparing Never Seen Objects, Computer Vision and Pattern Recognition 2007 (CVPR'07)
• Andras Ferencz, Erik Learned-Miller and Jitendra Malik. Learning hyper-features for visual identification. In Neural Information Processing Systems (NIPS) 17, pp. 425-432, 2005.
• Vidit Jain, Andras Ferencz and Erik Learned-Miller. Discriminative training of hyper-feature models for object identification. Proceedings of the British Machine Vision Conference (BMVC), Volume 1, pp. 357-366, 2006.

Recognition using local features:

• L. Fei-Fei, R. Fergus, and P. Perona. A Bayesian approach to unsupervised One-Shot learning of Object categories. IEEE Inter. Conf. Computer Vision. 2003.
• D. Nister and H. Stewenius. Scalable recognition with a vocabulary tree. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), volume 2, pages 2161-2168, June 2006.
• K. Grauman and T. Darrell. The Pyramid Match Kernel: Discriminative Classification with Sets of Image Features. In Proceedings of the IEEE International Conference on Computer Vision (ICCV), Beijing, China, October 2005.

Action recognition:

• Ivan Laptev, Marcin Marsza, Cordelia Schmid, Benjamin Rozenfeld, Learning Realistic Human Actions from Movies, CVPR 2008
• O. Boiman and M. Irani, Detecting Irregularities in Images and in Video. IEEE International Conference on Computer Vision (ICCV), Beijing, October 2005.
• E. Shechtman and M. Irani, Matching Local Self-Similarities across Images and Videos. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2007.
• Juan Carlos Niebles, Hongcheng Wang and Li Fei-Fei. Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words. In British Machine Vision Conference (BMVC), volume 3, pages 12449-1258, Edinburgh, UK, September 2006.
• Juan Carlos Niebles and Li Fei-Fei. A Hierarchical Model of Shape and Appearance for Human Action ClassificatEion. CVPR 2007.
• H. Jhuang, T. Serre, L. Wolf and T. Poggio. A Biologically Inspired System for Action Recognition. In: Proceedings of the Eleventh IEEE International Conference on Computer Vision (ICCV), 2007.
• Xiaogang Wang, Keng Teck Ma, Gee Wah Ng, W. Eric L. Grimson: Trajectory analysis and semantic region modeling using a nonparametric Bayesian model. CVPR 2008
• Xiaogang Wang, Xiaoxu Ma, Eric Grimson: Unsupervised Activity Perception by Hierarchical Bayesian Models. CVPR 2007
• Yang Wang and Greg Mori, Max-Margin Hidden Conditional Random Fields for Human Action Recognition, IEEE Computer Vision and Pattern Recognition (CVPR), 2009.
• Y. Ke, R. Sukthankar, and M. Hebert. Event Detection in Crowded Videos. ICCV, 2007.

Detecting human figures:

• Tuzel, Porikli, and Meer, "Human Detection via Classification on Riemannian Manifolds", IEEE Computer Society Conference on Computer Vision & Pattern Recognition (CVPR), June 2007
• Juan Carlos Niebles, Bohyung Han, Andras Ferencz and Li Fei-Fei. Extracting Moving People from Internet Videos. ECCV 2008
• Subhransu Maji, Alexander C. Berg, Jitendra Malik, Classification using Intersection Kernel Support Vector Machines is Efficient, CVPR 2008
• Mohammad Norouzi, Mani Ranjbar, and Greg Mori, Stacks of Convolutional Restricted Boltzmann Machines for Shift-Invariant Feature Learning, IEEE Computer Vision and Pattern Recognition (CVPR), 2009.
• Felzenszwalb, P., McAllester, D. and Ramanan, D. "A Discriminatively Trained, Multiscale, Deformable Part Model" Computer Vision and Pattern Recognition (CVPR) Anchorage, Alaska, June 2008.
• P. Dollar, B. Babenko, S. Belongie, P. Perona and Z. Tu, Multiple Component Learning for Object Detection, ECCV 2008.

Human pose estimation:

• Balan, A. and Black, M. J., The naked truth: Estimating body shape under clothing, European Conf. on Computer Vision, ECCV, LNCS Vol. 5303, pp. 15-29, Marseilles, France, Oct. 2008.
• Balan, A., Sigal, L., Black, M. J., Davis, J., Haussecker, H., Detailed human shape and pose from images, Proc. IEEE Conf. on Computer Vision and Pattern Recognition, Minneapolis, June 2007.
• Marcus A Brubaker, David J Fleet and Aaron Hertzmann. Physics-based Person Tracking Using Simplified Lower Body Dynamics. In Proceedings of IEEE CVPR 2007.
• R. Urtasun, D. J.Fleet and P. Fua. Gaussian Process Dynamical Models for 3D people tracking. In Conference on Computer Vision and Pattern Recognition (CVPR) New York, June 2006
• P. Srinivasan and J. Shi, "Bottom-up Recognition and Parsing of the Human Body", Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR) 2007
• V. Ferrari, M. Marin, and A. Zisserman, Progressive Search Space Reduction for Human Pose Estimation, CVPR 2008.
• Long Zhu, Chenxi Lin, Haoda Huang, Yuanhao Chen, Alan Yuille. Unsupervised Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion. ECCV 2008.

Context, scenes and locations:

• Geremy Heitz, Daphne Koller, Learning Spatial Context: Using Stuff to Find Things, ECCV 2008
• Rabinovich A., Vedaldi A., Galleguillos C., Wiewiora E., Belongie S., "Objects in Context", ICCV, Rio de Janeiro, 2007.
• S. Lazebnik, C. Schmid, and J. Ponce. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, New York, June 2006,
• L. Fei-Fei and P. Perona. A Bayesian Hierarchical Model for Learning Natural Scene Categories. IEEE Comp. Vis. Patt. Recog. 2005.
• Xuming He, Richard Zemel, and Miguel Carreira-Perpinan. "Multiscale conditional random fields for image labelling." IEEE Conference on Computer Vision and Pattern Recognition, 2004.

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