| Deep continuous fusion for multi-sensor 3d object detection M Liang, B Yang, S Wang, R Urtasun Proceedings of the European conference on computer vision (ECCV), 641-656, 2018 | 1126 | 2018 |
| Holoportation: Virtual 3d teleportation in real-time S Orts-Escolano, C Rhemann, S Fanello, W Chang, A Kowdle, ... Proceedings of the 29th annual symposium on user interface software and …, 2016 | 818 | 2016 |
| Semi-coupled dictionary learning with applications to image super-resolution and photo-sketch synthesis S Wang, L Zhang, Y Liang, Q Pan 2012 IEEE Conference on computer vision and pattern recognition, 2216-2223, 2012 | 667 | 2012 |
| Deep parametric continuous convolutional neural networks S Wang, S Suo, WC Ma, A Pokrovsky, R Urtasun Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 548 | 2018 |
| Efficient graph generation with graph recurrent attention networks R Liao, Y Li, Y Song, S Wang, W Hamilton, DK Duvenaud, R Urtasun, ... Advances in neural information processing systems 32, 2019 | 391 | 2019 |
| Deeppruner: Learning efficient stereo matching via differentiable patchmatch S Duggal, S Wang, WC Ma, R Hu, R Urtasun Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 328 | 2019 |
| Relaxed collaborative representation for pattern classification M Yang, L Zhang, D Zhang, S Wang 2012 IEEE conference on computer vision and pattern recognition, 2224-2231, 2012 | 288 | 2012 |
| Lidarsim: Realistic lidar simulation by leveraging the real world S Manivasagam, S Wang, K Wong, W Zeng, M Sazanovich, S Tan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 252 | 2020 |
| Torontocity: Seeing the world with a million eyes S Wang, M Bai, G Mattyus, H Chu, W Luo, B Yang, J Liang, J Cheverie, ... arXiv preprint arXiv:1612.00423, 2016 | 214 | 2016 |
| Octsqueeze: Octree-structured entropy model for lidar compression L Huang, S Wang, K Wong, J Liu, R Urtasun Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 193 | 2020 |
| Hd maps: Fine-grained road segmentation by parsing ground and aerial images G Máttyus, S Wang, S Fidler, R Urtasun Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 176 | 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 | 154 | 2019 |
| Enhancing road maps by parsing aerial images around the world G Mattyus, S Wang, S Fidler, R Urtasun Proceedings of the IEEE international conference on computer vision, 1689-1697, 2015 | 154 | 2015 |
| Exploiting sparse semantic HD maps for self-driving vehicle localization WC Ma, I Tartavull, IA Bârsan, S Wang, M Bai, G Mattyus, N Homayounfar, ... 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 138 | 2019 |
| Identifying unknown instances for autonomous driving K Wong, S Wang, M Ren, M Liang, R Urtasun Conference on Robot Learning, 384-393, 2020 | 118 | 2020 |
| Learning to localize using a lidar intensity map IA Barsan, S Wang, A Pokrovsky, R Urtasun arXiv preprint arXiv:2012.10902, 2020 | 116 | 2020 |
| Dsdnet: Deep structured self-driving network W Zeng, S Wang, R Liao, Y Chen, B Yang, R Urtasun Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 111 | 2020 |
| Geosim: Realistic video simulation via geometry-aware composition for self-driving Y Chen, F Rong, S Duggal, S Wang, X Yan, S Manivasagam, S Xue, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 109 | 2021 |
| Three-dimensional object detection M Liang, B Yang, S Wang, WC Ma, R Urtasun US Patent 11,221,413, 2018 | 109* | 2018 |
| Scenegen: Learning to generate realistic traffic scenes S Tan, K Wong, S Wang, S Manivasagam, M Ren, R Urtasun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 104 | 2021 |
Raquel UrtasunFounder & CEO Waabi, Professor, University of Toronto.Verified email at cs.toronto.edu
