| 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 | 739 | 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 | 464 | 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 | 157 | 2020 |
| Learning joint 2d-3d representations for depth completion Y Chen, B Yang, M Liang, R Urtasun Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 152 | 2019 |
| 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 | 95* | 2021 |
| 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 | 88 | 2020 |
| Unisim: A neural closed-loop sensor simulator Z Yang, Y Chen, J Wang, S Manivasagam, WC Ma, AJ Yang, R Urtasun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 68 | 2023 |
| Exploring adversarial robustness of multi-sensor perception systems in self driving J Tu, H Li, X Yan, M Ren, Y Chen, M Liang, E Bitar, E Yumer, R Urtasun arXiv preprint arXiv:2101.06784, 2021 | 63 | 2021 |
| Perception and motion prediction for autonomous devices M Liang, B Yang, Y Chen, R Urtasun US Patent 11,548,533, 2023 | 38 | 2023 |
| Cadsim: Robust and scalable in-the-wild 3d reconstruction for controllable sensor simulation J Wang, S Manivasagam, Y Chen, Z Yang, IA Bârsan, AJ Yang, WC Ma, ... arXiv preprint arXiv:2311.01447, 2023 | 15 | 2023 |
| Multi-label text classification with deep neural networks Y Chen, B Xiao, Z Lin, C Dai, Z Li, L Yan 2018 International Conference on Network Infrastructure and Digital Content …, 2018 | 10 | 2018 |
| 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 | 8 | 2023 |
| Real-Time Neural Rasterization for Large Scenes JY Liu, Y Chen, Z Yang, J Wang, S Manivasagam, R Urtasun Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 6 | 2023 |
| Volume R-CNN: unified framework for ct object detection and instance segmentation Y Chen, J Chen, B Xiao, Z Wu, Y Chi, X Xie, X Hua 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 5 | 2019 |
| LightSim: Neural Lighting Simulation for Urban Scenes A Pun, G Sun, J Wang, Y Chen, Z Yang, S Manivasagam, WC Ma, ... arXiv preprint arXiv:2312.06654, 2023 | | 2023 |
| Photorealistic Image Simulation with Geometry-Aware Composition F Rong, Y Chen, S Duggal, S Wang, X Yan, S Manivasagam, E Yumer, ... US Patent App. 17/668,577, 2022 | | 2022 |
Raquel UrtasunFounder & CEO Waabi, Professor, University of Toronto.cs.toronto.edu의 이메일 확인됨
