| 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 | 848 | 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 | 663 | 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 | 206 | 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 | 183 | 2019 |
| Unisim: A neural closed-loop sensor simulator Z Yang*, Y Chen*, J Wang*, S Manivasagam*, WC Ma, AJ Yang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 176 | 2023 |
| 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 | 113 | 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 | 108 | 2021 |
| 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 | 91 | 2021 |
| Perception and motion prediction for autonomous devices M Liang, B Yang, Y Chen, R Urtasun US Patent 11,548,533, 2023 | 61 | 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 | 33 | 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 | 25 | 2023 |
| Photorealistic image simulation with geometry-aware composition F Rong, Y Chen, S Duggal, S Wang, X Yan, S Manivasagam, E Yumer, ... US Patent 11,551,429, 2023 | 20 | 2023 |
| 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 | 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 | 13 | 2018 |
| Neural lighting simulation for urban scenes A Pun, G Sun, J Wang, Y Chen, Z Yang, S Manivasagam, WC Ma, ... Advances in Neural Information Processing Systems 36, 19291-19326, 2023 | 9 | 2023 |
| G3R: Gradient Guided Generalizable Reconstruction Y Chen, J Wang, Z Yang, S Manivasagam, R Urtasun European Conference on Computer Vision, 305-323, 2024 | 7 | 2024 |
| 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 |
| Photorealistic image simulation with geometry-aware composition F Rong, Y Chen, S Duggal, S Wang, X Yan, S Manivasagam, E Yumer, ... US Patent 11,989,847, 2024 | | 2024 |
Raquel UrtasunFounder & CEO Waabi, Professor, University of Toronto.E-mail megerősítve itt: cs.toronto.edu