| Visual tracking: An experimental survey AWM Smeulders, DM Chu, R Cucchiara, S Calderara, A Dehghan, ... IEEE transactions on pattern analysis and machine intelligence 36 (7), 1442-1468, 2013 | 1785 | 2013 |
| Gmcp-tracker: Global multi-object tracking using generalized minimum clique graphs A Roshan Zamir, A Dehghan, M Shah European conference on computer vision, 343-356, 2012 | 461 | 2012 |
| Part-based multiple-person tracking with partial occlusion handling G Shu, A Dehghan, O Oreifej, E Hand, M Shah 2012 IEEE Conference on Computer Vision and Pattern Recognition, 1815-1821, 2012 | 452 | 2012 |
| GMMCP Tracker: Globally Optimal Generalized Maximum Multi Clique Problem for Multiple Object Tracking A Dehghan, MA Shayan, M Shah CVPR 1, 2, 2015 | 344 | 2015 |
| License plate detection and recognition using deeply learned convolutional neural networks SZ Masood, G Shu, A Dehghan, EG Ortiz arXiv preprint arXiv:1703.07330, 2017 | 142 | 2017 |
| Target identity-aware network flow for online multiple target tracking A Dehghan, Y Tian, PHS Torr, M Shah Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 138 | 2015 |
| Who do i look like? determining parent-offspring resemblance via gated autoencoders A Dehghan, EG Ortiz, R Villegas, M Shah Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 122 | 2014 |
| Dager: Deep age, gender and emotion recognition using convolutional neural network A Dehghan, EG Ortiz, G Shu, SZ Masood arXiv preprint arXiv:1702.04280, 2017 | 111 | 2017 |
| Improving an object detector and extracting regions using superpixels G Shu, A Dehghan, M Shah Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 96 | 2013 |
| Automatic detection and tracking of pedestrians in videos with various crowd densities A Dehghan, H Idrees, AR Zamir, M Shah Pedestrian and evacuation dynamics 2012, 3-19, 2014 | 59 | 2014 |
| View independent vehicle make, model and color recognition using convolutional neural network A Dehghan, SZ Masood, G Shu, E Ortiz arXiv preprint arXiv:1702.01721, 2017 | 43 | 2017 |
| Binary quadratic programing for online tracking of hundreds of people in extremely crowded scenes A Dehghan, M Shah IEEE transactions on pattern analysis and machine intelligence 40 (3), 568-581, 2017 | 36 | 2017 |
| On detection, data association and segmentation for multi-target tracking Y Tian, A Dehghan, M Shah IEEE transactions on pattern analysis and machine intelligence 41 (9), 2146-2160, 2018 | 32 | 2018 |
| Visual business recognition: a multimodal approach. AR Zamir, A Dehghan, M Shah ACM Multimedia 10 (2502081.2502174), 2013 | 15 | 2013 |
| SRI-Sarnoff AURORA System at TRECVID 2013 Multimedia Event Detection and Recounting. J Liu, H Cheng, O Javed, Q Yu, I Chakraborty, W Zhang, A Divakaran, ... TRECVID, 2013 | 13 | 2013 |
| Deep tracking: Visual tracking using deep convolutional networks M Hahn, S Chen, A Dehghan arXiv preprint arXiv:1512.03993, 2015 | 10 | 2015 |
| Improving semantic concept detection through the dictionary of visually-distinct elements A Dehghan, H Idrees, M Shah Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 9 | 2014 |
| Complex event recognition using constrained low-rank representation A Dehghan, O Oreifej, M Shah Image and Vision Computing 42, 13-21, 2015 | 5 | 2015 |
| ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data G Baruch, Z Chen, A Dehghan, T Dimry, Y Feigin, P Fu, T Gebauer, ... arXiv preprint arXiv:2111.08897, 2021 | 4* | 2021 |
| Understanding crowd collectivity: a meta-tracking approach A Dehghan, MM Kalayeh Proceedings of the IEEE International Conference on Computer Vision and …, 2015 | 4 | 2015 |
Mubarak ShahTrustee Chair Professor of Computer Science, University of Central FloridaVerified email at crcv.ucf.edu
