| Speed/accuracy trade-offs for modern convolutional object detectors J Huang, V Rathod, C Sun, M Zhu, A Korattikara, A Fathi, I Fischer, ... Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 3212 | 2017 |
| Action recognition by learning mid-level motion features A Fathi, G Mori 2008 IEEE conference on computer vision and pattern recognition, 1-8, 2008 | 666 | 2008 |
| Learning to recognize objects in egocentric activities A Fathi, X Ren, JM Rehg CVPR 2011, 3281-3288, 2011 | 556 | 2011 |
| Social Interactions: A first-person perspective A Fathi, JM Rehg CVPR, 8, 2012 | 495 | 2012 |
| Learning to recognize daily actions using gaze A Fathi, Y Li, JM Rehg Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 486 | 2012 |
| Understanding Egocentric Activities A Fathi, A Farhadi, JM Rehg | 466 | 2011 |
| Tracking emerges by colorizing videos C Vondrick, A Shrivastava, A Fathi, S Guadarrama, K Murphy Proceedings of the European conference on computer vision (ECCV), 391-408, 2018 | 409 | 2018 |
| Reasoning about object affordances in a knowledge base representation Y Zhu, A Fathi, L Fei-Fei Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 291 | 2014 |
| Learning to Predict Gaze in Egocentric Video Y Li, A Fathi, JM Rehg ICCV, 2013 | 280 | 2013 |
| Semantic instance segmentation via deep metric learning A Fathi, Z Wojna, V Rathod, P Wang, HO Song, S Guadarrama, ... arXiv preprint arXiv:1703.10277, 2017 | 223 | 2017 |
| Detecting road intersections from GPS traces A Fathi, J Krumm Geographic Information Science: 6th International Conference, GIScience 2010 …, 2010 | 218 | 2010 |
| Modeling actions through state changes A Fathi, JM Rehg Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 182 | 2013 |
| Pillar-based object detection for autonomous driving Y Wang, A Fathi, A Kundu, DA Ross, C Pantofaru, T Funkhouser, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 177 | 2020 |
| 3d-mpa: Multi-proposal aggregation for 3d semantic instance segmentation F Engelmann, M Bokeloh, A Fathi, B Leibe, M Nießner Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 175 | 2020 |
| The devil is in the decoder: Classification, regression and gans Z Wojna, V Ferrari, S Guadarrama, N Silberman, LC Chen, A Fathi, ... International Journal of Computer Vision 127, 1694-1706, 2019 | 157 | 2019 |
| Detecting eye contact using wearable eye-tracking glasses Z Ye, Y Li, A Fathi, Y Han, A Rozga, GD Abowd, JM Rehg Proceedings of the 2012 ACM conference on ubiquitous computing, 699-704, 2012 | 151 | 2012 |
| Virtual multi-view fusion for 3d semantic segmentation A Kundu, X Yin, A Fathi, D Ross, B Brewington, T Funkhouser, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 133 | 2020 |
| Combining Self Training and Active Learning for Video Segmentation. A Fathi, MF Balcan, X Ren, JM Rehg BMVC 29, 78-1, 2011 | 123 | 2011 |
| Instance embedding transfer to unsupervised video object segmentation S Li, B Seybold, A Vorobyov, A Fathi, Q Huang, CCJ Kuo Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 119 | 2018 |
| Panoptic neural fields: A semantic object-aware neural scene representation A Kundu, K Genova, X Yin, A Fathi, C Pantofaru, LJ Guibas, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 112 | 2022 |
James M. RehgFounder Professor of Computer Science, University of Illinois at Urbana-ChampaignVerified email at illinois.edu
