Center for Research in Comptuer Vision
Center for Research in Comptuer Vision


Our CVPR 2016 Papers

A Borji, S. Izadi, L.Itti, iLab-20M: A large-scale controlled object dataset to investigate deep learning, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, June 26 - July 1, 2016.

S. Changpinyo, W. Chao, B. Gong, and F. Sha, Synthesized Classifiers for Zero-Shot Learning, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, June 26 - July 1, 2016. (Oral) [Supp.]

C. Gan, T. Yang, and B. Gong, Learning Attributes Equals Multi-Source Domain Generalization, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, June 26 - July 1, 2016. (Spotlight)

Khurram Soomro, Haroon Idrees and Mubarak Shah, Predicting the Where and What of actors and actions through Online Action Localization, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, June 26 - July 1, 2016 [Project Page] [Video of Presentation]

Nasim Souly and Mubarak Shah, Scene Labeling Using Sparse Precision Matrix, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, June 26 - July 1, 2016 [Video of Presentation]

Waqas Sultani and Mubarak Shah, What if we do not have multiple videos of the same action? - Video Action Localization Using Web Images, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, June 26 - July 1, 2016 [Project Page] [Video of Presentation]

Yang Zhang, Boqing Gong and Mubarak Shah, Fast Zero-Shot Image Tagging, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, June 26 - July 1, 2016 [Video of Presentation]