Self-Paced Learning for Semantic Segmentation M. Pawan Kumar.
Decision Forests and discriminant analysis
Japan cv day 2013 payashim
Saliency prediction using deep learning techniques
bare_jrnl_compsoc.pdf
DeepID-Net: deformable deep convolutional neural network for generic object detection Wanli Ouyang, Ping Luo, Xingyu Zeng, Shi Qiu, Yonglong Tian, Hongsheng.
Discriminative Segment Annotation in Weakly Labeled Video Kevin Tang, Rahul Sukthankar Appeared in CVPR 2013 (Oral)
DeepID-Net: deformable deep convolutional neural network for generic object detection
CSE 473/573 Computer Vision and Image Processing (CVIP)
Interactive Discovery and Semantic Labeling of Patterns in Spatial Data Thomas Funkhouser, Adam Finkelstein, David Blei, and Christiane Fellbaum Princeton.
Ross Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation.
Perceptual Organization: Segmentation and Optical Flow.
