PUBLICATIONS
- Claude Bernard -
“The joy of discovery is certainly the liveliest that the mind of man can ever feel”
Object Tracking
Binary Quadratic Programing for Online Tracking of Hundreds of People in Extremely Crowded Scenes, Afshin Dehghan and Mubarak Shah, in IEEE PAMI, 2017. [PDF] [Video][Dataset]
Target Identity-aware Network Flow for Online Multiple Target Tracking, Afshin Dehghan, Yicong Tian, Philip. H. S. Torr and Mubarak Shah, in Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2015) [PDF][Project Page]
GMMCP-Tracker:Globally Optimal Generalized Maximum Multi Clique Problem for Multiple Object Tracking, Afshin Dehghan, Shayan Modiri Assari and Mubarak Shah, in Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2015)[PDF][Project Page]
GMCP-Tracker: Global Multi-object Tracking Using Generalized Minimum Clique Graphs, Amir Roshan Zamir, Afshin Dehghan and Mubarak Shah, In proceedings of European Conference on Computer Vision 2012 (ECCV'12) [PDF] [Project Page] [Data]
Visual Tracking: an Experimental Survey, Arnold W. M. Smeulders, Dung M. Chu, Rita Cucchiara, Simone Calderara, Afshin Dehghan and Mubarak Shah, In Proceeding of IEEE Transaction on Pattern Analysis and Machine Intelligence (PAMI'2013) [PDF] [Evaluation Code (Fscore)] [Project Page] [Mirror Link:ALOV300++ Groundtruth] [Mirror Link:ALOV300++ Dataset]
Part-based Multiple-Person Tracking with Partial Occlusion Handling, Guang Shu, Afshin Dehghan, Omar Oreifej, Emily Hand, Mubarak Shah, In proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR'12),[PDF] [Project Page] [Data]
Understanding Crowd Collectivity: A Meta-Tracking Approach, Afshin Dehghan and Mahdi M. Kalayeh, in Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition Workshop(CVPRW 2015), SUNw: Scene Understanding Workshop [PDF][YouTube Video]
Keynote: Automatic Detection and Tracking of Pedestrians in Videos with Various Crowd Densities, Afshin Dehghan, Haroon Idrees, Amir Roshan Zamir and Mubarak Shah, Conference name In Proceedings of PED, June 2012, [PDF] [Project Page] [Data]
Video Classification / Event Detection
Complex event recognition using constrained low-rank representation, Afshin Dehghan, Omar Oreifej and Mubarak Shah, in Proceedings of Image and Vision Computing (IVC 2015),Volume 42, Pages 13-21, 2015. [PDF][Send me email for source code]
Improving Semantic Concept Detection through the Dictionary of Visually-distinct Elements, Afshin Dehghan, Haroon Idrees and Mubarak Shah, in Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2014) [PDF] [Video Spotlight] [Source Code]
Complex Event Recognition by Latent Temporal Models of Concepts, Ehsan Zare Borzeshi, Afshin Dehghan, Massimo Piccardi, and Mubarak Shah, in Proceedings of IEEE International Conference on Image Processing (ICIP 2014) [PDF]
SRI-Sarnoff AURORA System at TRECVID 2012 Multimedia Event Detection and Recounting
H. Cheng, J. Liu, S. Ali, O. Javed, Q. Yu,A. Tamrakar, A. Divakaran†, H. S. Sawhney, R. Manmatha, Ja. Allan, A. Hauptmann, M. Shah, S. Bhattacharya, A. Dehghan , G. Friedland, B. M. Elizalde, T. Darrell, M. Witbrock, J. Curtis, In Proceeding of Trecvid Video Retrieval Evaluation Workshop, NIST, Gaitherburg, Md, November 2012
Other Projects
Who Do I Look Like? Determining Parent-Offspring Resemblance via Gated Autoencoders, Afshin Dehghan, Enrique G. Ortiz, Ruben Vilegas and Mubarak Shah, in Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2014)
Visual Business Recognition - A Multimodal Approach, Amir Roshan Zamir, Afshin Dehghan and Mubarak Shah, In Proceeding of ACM International Conference on Multimedia (ACM MM'2013), [PDF] [Project Page] [Data]
Improving an Object Detector and Extracting Regions using Superpixels, Guang Shu, Afshin Dehghan and Mubarak Shah, In proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR'13), [PDF] [Project Page] [Data]
Some cool deep learning related benchmark papers
Who Do I Look Like? Determining Parent-Offspring Resemblance via Gated Autoencoders, Afshin Dehghan, Enrique G. Ortiz, Ruben Vilegas and Mubarak Shah, in Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2014)
Visual Business Recognition - A Multimodal Approach, Amir Roshan Zamir, Afshin Dehghan and Mubarak Shah, In Proceeding of ACM International Conference on Multimedia (ACM MM'2013), [PDF] [Project Page] [Data]
Improving an Object Detector and Extracting Regions using Superpixels, Guang Shu, Afshin Dehghan and Mubarak Shah, In proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR'13), [PDF] [Project Page] [Data]