| 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 | 1660 | 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 | 278 | 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 | 126 | 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 | 61 | 2016 |
| 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 | 56 | 2019 |
| 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 | 40 | 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 | 30 | 2020 |
| 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 | 29 | 2018 |
| 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 | 23 | 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 | 21 | 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 | 16 | 2016 |
| Deformable filter convolution for point cloud reasoning Y Xiong, M Ren, R Liao, K Wong, R Urtasun arXiv preprint arXiv:1907.13079, 2019 | 8 | 2019 |
| LoCo: Local contrastive representation learning Y Xiong, M Ren, R Urtasun arXiv preprint arXiv:2008.01342, 2020 | 5 | 2020 |
| LevelSet R-CNN: A Deep Variational Method for Instance Segmentation N Homayounfar, Y Xiong, J Liang, WC Ma, R Urtasun European Conference on Computer Vision, 555-571, 2020 | 3 | 2020 |
| Weakly-supervised 3D Shape Completion in the Wild J Gu, WC Ma, S Manivasagam, W Zeng, Z Wang, Y Xiong, H Su, ... Proc. of the European Conf. on Computer Vision (ECCV), 2020 | 3 | 2020 |
| Deep Structured Scene Flow for Autonomous Devices R Urtasun, WC Ma, S Wang, Y Xiong, R Hu US Patent App. 16/531,720, 2020 | 2 | 2020 |
| Learning to remember from a multi-task teacher Y Xiong, M Ren, R Urtasun arXiv preprint arXiv:1910.04650, 2019 | 2 | 2019 |
| Network Automatic Pruning: Start NAP and Take a Nap W Zeng, Y Xiong, R Urtasun arXiv preprint arXiv:2101.06608, 2021 | | 2021 |
| Cost-Efficient Online Hyperparameter Optimization J Wang, M Ren, I Bogunovic, Y Xiong, R Urtasun arXiv preprint arXiv:2101.06590, 2021 | | 2021 |
| Self-Supervised Representation Learning from Flow Equivariance Y Xiong, M Ren, W Zeng, R Urtasun arXiv preprint arXiv:2101.06553, 2021 | | 2021 |
Raquel UrtasunProfessor, University of Toronto. Chief Scientist, Uber ATG在 cs.toronto.edu 的电子邮件经过验证
