| Multi-task multi-sensor fusion for 3d object detection M Liang, B Yang, Y Chen, R Hu, R Urtasun Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 785 | 2019 |
| Learning lane graph representations for motion forecasting M Liang, B Yang, R Hu, Y Chen, R Liao, S Feng, R Urtasun Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 542 | 2020 |
| 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 | 494 | 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 | 297 | 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 | 187 | 2020 |
| Pnpnet: End-to-end perception and prediction with tracking in the loop M Liang, B Yang, W Zeng, Y Chen, R Hu, S Casas, R Urtasun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 176 | 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 | 145 | 2019 |
| Conditional entropy coding for efficient video compression J Liu, S Wang, WC Ma, M Shah, R Hu, P Dhawan, R Urtasun European Conference on Computer Vision, 453-468, 2020 | 51 | 2020 |
| Multixnet: Multiclass multistage multimodal motion prediction N Djuric, H Cui, Z Su, S Wu, H Wang, FC Chou, L San Martin, S Feng, ... 2021 IEEE Intelligent Vehicles Symposium (IV), 435-442, 2021 | 47 | 2021 |
| PLUMENet: Efficient 3D object detection from stereo images Y Wang, B Yang, R Hu, M Liang, R Urtasun 2021 IEEE/RSJ international conference on intelligent robots and systems …, 2021 | 44 | 2021 |
| Learning unsupervised world models for autonomous driving via discrete diffusion L Zhang, Y Xiong, Z Yang, S Casas, R Hu, R Urtasun arXiv preprint arXiv:2311.01017, 2023 | 23 | 2023 |
| Rethinking closed-loop training for autonomous driving C Zhang, R Guo, W Zeng, Y Xiong, B Dai, R Hu, M Ren, R Urtasun European Conference on Computer Vision, 264-282, 2022 | 20 | 2022 |
| Strobe: Streaming object detection from lidar packets D Frossard, S Da Suo, S Casas, J Tu, R Urtasun Conference on Robot Learning, 1174-1183, 2021 | 16 | 2021 |
| Reconstructing objects in-the-wild for realistic sensor simulation Z Yang, S Manivasagam, Y Chen, J Wang, R Hu, R Urtasun 2023 IEEE International Conference on Robotics and Automation (ICRA), 11661 …, 2023 | 11 | 2023 |
| Deep Structured Scene Flow for Autonomous Devices R Urtasun, WC Ma, S Wang, Y Xiong, R Hu US Patent App. 17/962,624, 2023 | | 2023 |
| Deep structured scene flow for autonomous devices R Urtasun, WC Ma, S Wang, Y Xiong, R Hu US Patent 11,468,575, 2022 | | 2022 |
| Supplementary Material-STROBE: Streaming Object Detection from LiDAR Packets D Frossard, S Suo, S Casas, J Tu, R Hu, R Urtasun | | |
