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This is a page for our casual paper reading seminars. You can download slides for our historical and planning seminars.

(Please note the download link on this page will not give you any slides. Please go to each seminar's page to download the slides.)

Click the date to enter the webpage for each seminar.

###20130930

Slides(by Maja)

• Fox et. al. Nonparametric Bayesian Learning of Switching Linear Dynamical Systems, NIPS 08, TSP 10
• Brand, Discovery and Segmentation of Activities in Video, PAMI, 2000

###20130923

• Fernando de la Torre et. al. Temporal Segmentation of Facial Behavior, ICCV 2007
• Minh Hoai, Fernando de la Torre, Maximum Margin Temporal Clustering, AISTATS 2012

###20130901

• R. Tron and R. Vidal, "Distributed Computer Vision Algorithms Through Distributed Averaging," IEEE Conference on Computer Vision and Pattern Recognition, 2011.
• Simon Korman, Shai Avidan, "Coherency Sensitive Hashing, " ICCV, 2011

###20121003

• Alexander Toshev, Jianbo Shi, and Kostas Daniilidis, "Image Matching via Saliency Region Correspondences, " IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007

###20120910

• B. Yao, A. Khosla, and L. Fei-Fei, "Combining randomization and discrimination for fine-grained image categorization," Cvpr 2011, pp. 1577¨C1584, Jun. 2011.
• Alexe, B., Deselares, T. and Ferrari, V. "Measuring the objectness of image windows," PAMI 2012.

###20120906

• L. Liu and L. Wang, “What has my classifier learned? Visualizing the classification rules of bag-of-feature model by support region detection,” CVPR 2012
• T. Malisiewicz, A. Gupta, and A. a. Efros, “Ensemble of exemplar-SVMs for object detection and beyond,” ICCV 2011
• A. Shrivastava, T. Malisiewicz, A. Gupta, and A. a. Efros, “Data-driven visual similarity for cross-domain image matching,” ACM Transactions on Graphics, vol. 30, no. 6, p. 1, Dec. 2011.

###20120828

• L. Bo, X. Ren, and D. Fox, “Kernel descriptors for visual recognition,” Advances in Neural Information Processing, 2010.
• L. Bo and C. Sminchisescu, “Efficient match kernel between sets of features for visual recognition,” Advances in neural information processing, 2009.
• X. Ren, L. Bo, and D. Fox, “RGB-(D) scene labeling: Features and algorithms,” 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp. 2759–2766, Jun. 2012.