| Deformable convolutional networks J Dai, H Qi, Y Xiong, Y Li, G Zhang, H Hu, Y Wei Proceedings of the IEEE international conference on computer vision, 764-773, 2017 | 4325 | 2017 |
| Deep feature flow for video recognition X Zhu, Y Xiong, J Dai, L Yuan, Y Wei Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 617 | 2017 |
| Upsnet: A unified panoptic segmentation network Y Xiong, R Liao, H Zhao, R Hu, M Bai, E Yumer, R Urtasun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 367 | 2019 |
| Polytransform: Deep polygon transformer for instance segmentation J Liang, N Homayounfar, WC Ma, Y Xiong, R Hu, R Urtasun Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 128 | 2020 |
| Deep rigid instance scene flow WC Ma, S Wang, R Hu, Y Xiong, R Urtasun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 108 | 2019 |
| Reviving and improving recurrent back-propagation R Liao, Y Xiong, E Fetaya, L Zhang, KJ Yoon, X Pitkow, R Urtasun, ... International Conference on Machine Learning, 3082-3091, 2018 | 94 | 2018 |
| Inference in probabilistic graphical models by graph neural networks KJ Yoon, R Liao, Y Xiong, L Zhang, E Fetaya, R Urtasun, R Zemel, ... 2019 53rd Asilomar Conference on Signals, Systems, and Computers, 868-875, 2019 | 88 | 2019 |
| Collaborative deep ranking: A hybrid pair-wise recommendation algorithm with implicit feedback H Ying, L Chen, Y Xiong, J Wu Pacific-asia conference on knowledge discovery and data mining, 555-567, 2016 | 80 | 2016 |
| Dmm-net: Differentiable mask-matching network for video object segmentation X Zeng, R Liao, L Gu, Y Xiong, S Fidler, R Urtasun Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 73 | 2019 |
| Discrete residual flow for probabilistic pedestrian behavior prediction A Jain, S Casas, R Liao, Y Xiong, S Feng, S Segal, R Urtasun Conference on Robot Learning, 407-419, 2020 | 67 | 2020 |
| Weakly-supervised 3D shape completion in the wild J Gu, WC Ma, S Manivasagam, W Zeng, Z Wang, Y Xiong, H Su, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 34 | 2020 |
| Loco: Local contrastive representation learning Y Xiong, M Ren, R Urtasun Advances in neural information processing systems 33, 11142-11153, 2020 | 32 | 2020 |
| Self-supervised representation learning from flow equivariance Y Xiong, M Ren, W Zeng, R Urtasun Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 23 | 2021 |
| Levelset r-cnn: A deep variational method for instance segmentation N Homayounfar, Y Xiong, J Liang, WC Ma, R Urtasun Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 20 | 2020 |
| PGRank: Personalized geographical ranking for point-of-interest recommendation H Ying, L Chen, Y Xiong, J Wu Proceedings of the 25th International Conference Companion on World Wide Web …, 2016 | 18 | 2016 |
| Deformable filter convolution for point cloud reasoning Y Xiong, M Ren, R Liao, K Wong, R Urtasun arXiv preprint arXiv:1907.13079, 2019 | 16 | 2019 |
| Learning to remember from a multi-task teacher Y Xiong, M Ren, R Urtasun arXiv preprint arXiv:1910.04650, 2019 | 6 | 2019 |
| Safety-oriented pedestrian motion and scene occupancy forecasting K Luo, S Casas, R Liao, X Yan, Y Xiong, W Zeng, R Urtasun arXiv preprint arXiv:2101.02385, 2021 | 5 | 2021 |
| Network automatic pruning: Start nap and take a nap W Zeng, Y Xiong, R Urtasun arXiv preprint arXiv:2101.06608, 2021 | 4 | 2021 |
| Safety-oriented pedestrian occupancy forecasting K Luo, S Casas, R Liao, X Yan, Y Xiong, W Zeng, R Urtasun 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 2 | 2021 |
Raquel UrtasunFounder & CEO Waabi, Professor, University of Toronto.Verified email at cs.toronto.edu
