| Skip-thought vectors R Kiros, Y Zhu, RR Salakhutdinov, R Zemel, R Urtasun, A Torralba, ... Advances in neural information processing systems, 3294-3302, 2015 | 1834 | 2015 |
| Aligning books and movies: Towards story-like visual explanations by watching movies and reading books Y Zhu, R Kiros, R Zemel, R Salakhutdinov, R Urtasun, A Torralba, S Fidler Proceedings of the IEEE international conference on computer vision, 19-27, 2015 | 694 | 2015 |
| The role of context for object detection and semantic segmentation in the wild R Mottaghi, X Chen, X Liu, NG Cho, SW Lee, S Fidler, R Urtasun, A Yuille Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 670 | 2014 |
| Scene parsing through ade20k dataset B Zhou, H Zhao, X Puig, S Fidler, A Barriuso, A Torralba Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 661 | 2017 |
| 3d object proposals for accurate object class detection X Chen, K Kundu, Y Zhu, AG Berneshawi, H Ma, S Fidler, R Urtasun Advances in Neural Information Processing Systems, 424-432, 2015 | 457 | 2015 |
| Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation J Yao, S Fidler, R Urtasun 2012 IEEE conference on computer vision and pattern recognition, 702-709, 2012 | 414 | 2012 |
| Monocular 3d object detection for autonomous driving X Chen, K Kundu, Z Zhang, H Ma, S Fidler, R Urtasun Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 400 | 2016 |
| Order-embeddings of images and language I Vendrov, R Kiros, S Fidler, R Urtasun arXiv preprint arXiv:1511.06361, 2015 | 352 | 2015 |
| Semantic understanding of scenes through the ade20k dataset B Zhou, H Zhao, X Puig, T Xiao, S Fidler, A Barriuso, A Torralba International Journal of Computer Vision 127 (3), 302-321, 2019 | 344 | 2019 |
| Detect what you can: Detecting and representing objects using holistic models and body parts X Chen, R Mottaghi, X Liu, S Fidler, R Urtasun, A Yuille Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 337 | 2014 |
| Movieqa: Understanding stories in movies through question-answering M Tapaswi, Y Zhu, R Stiefelhagen, A Torralba, R Urtasun, S Fidler Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 323 | 2016 |
| Vse++: Improving visual-semantic embeddings with hard negatives F Faghri, DJ Fleet, JR Kiros, S Fidler arXiv preprint arXiv:1707.05612, 2017 | 297 | 2017 |
| Predicting deep zero-shot convolutional neural networks using textual descriptions J Lei Ba, K Swersky, S Fidler Proceedings of the IEEE International Conference on Computer Vision, 4247-4255, 2015 | 281 | 2015 |
| Towards diverse and natural image descriptions via a conditional gan B Dai, S Fidler, R Urtasun, D Lin Proceedings of the IEEE International Conference on Computer Vision, 2970-2979, 2017 | 265 | 2017 |
| Holistic scene understanding for 3d object detection with rgbd cameras D Lin, S Fidler, R Urtasun Proceedings of the IEEE international conference on computer vision, 1417-1424, 2013 | 263 | 2013 |
| Scaling egocentric vision: The epic-kitchens dataset D Damen, H Doughty, G Maria Farinella, S Fidler, A Furnari, E Kazakos, ... Proceedings of the European Conference on Computer Vision (ECCV), 720-736, 2018 | 247 | 2018 |
| Towards scalable representations of object categories: Learning a hierarchy of parts S Fidler, A Leonardis 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007 | 241 | 2007 |
| Combining reconstructive and discriminative subspace methods for robust classification and regression by subsampling S Fidler, D Skocaj, A Leonardis IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (3), 337-350, 2006 | 196 | 2006 |
| 3d object detection and viewpoint estimation with a deformable 3d cuboid model S Fidler, S Dickinson, R Urtasun Advances in neural information processing systems, 611-619, 2012 | 184 | 2012 |
| Neuroaesthetics in fashion: Modeling the perception of fashionability E Simo-Serra, S Fidler, F Moreno-Noguer, R Urtasun Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 178 | 2015 |
Raquel UrtasunProfessor, University of Toronto. Chief Scientist, Uber ATG在 cs.toronto.edu 的电子邮件经过验证
