| RepPoints: Point Set Representation for Object Detection Z Yang, S Liu, H Hu, L Wang, S Lin Proceedings of the IEEE International Conference on Computer Vision, 9657-9666, 2019 | 1235 | 2019 |
| Learning to navigate for fine-grained classification Z Yang, T Luo, D Wang, Z Hu, J Gao, L Wang Proceedings of the European conference on computer vision (ECCV), 420-435, 2018 | 673 | 2018 |
| Learning relationships for multi-view 3D object recognition Z Yang, L Wang Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 221 | 2019 |
| 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 | 176 | 2023 |
| S3: Neural shape, skeleton, and skinning fields for 3d human modeling Z Yang, S Wang, S Manivasagam, Z Huang, WC Ma, X Yan, E Yumer, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 82 | 2021 |
| Rbgnet: Ray-based grouping for 3d object detection H Wang, S Shi, Z Yang, R Fang, Q Qian, H Li, B Schiele, L Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 70 | 2022 |
| Dense reppoints: Representing visual objects with dense point sets Z Yang, Y Xu, H Xue, Z Zhang, R Urtasun, L Wang, S Lin, H Hu Proceedings of the European Conference on Computer Vision (ECCV), 227-244, 2020 | 61 | 2020 |
| Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion L Zhang, Y Xiong, Z Yang, S Casas, R Hu, R Urtasun The Twelfth International Conference on Learning Representations, 2024 | 49 | 2024 |
| 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, ... 6th Annual Conference on Robot Learning, 2022 | 25 | 2022 |
| Single image super-resolution with a parameter economic residual-like convolutional neural network Z Yang, K Zhang, Y Liang, J Wang MultiMedia Modeling: 23rd International Conference, MMM 2017, Reykjavik …, 2017 | 19 | 2017 |
| Towards Zero Domain Gap: A Comprehensive Study of Realistic LiDAR Simulation for Autonomy Testing S Manivasagam, IA Bârsan, J Wang, Z Yang, R Urtasun Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 17 | 2023 |
| Reconstructing objects in-the-wild for realistic sensor simulation Z Yang, S Manivasagam, Y Chen, J Wang, R Hu, R Urtasun IEEE International Conference on Robotics and Automation (ICRA), 2023 | 15 | 2023 |
| Recovering and Simulating Pedestrians in the Wild Z Yang, S Manivasagam, M Liang, B Yang, WC Ma, R Urtasun Conference on Robot Learning, 2020 | 14 | 2020 |
| Single image super-resolution via a lightweight residual convolutional neural network Y Liang, Z Yang, K Zhang, Y He, J Wang, N Zheng arXiv preprint arXiv:1703.08173, 2017 | 13 | 2017 |
| 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 |
| Systems and methods for simulating dynamic objects based on real world data M Liang, WC Ma, S Manivasagam, R Urtasun, B Yang, Z Yang US Patent 12,141,995, 2024 | 7 | 2024 |
| 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 |
| On the anomalous generalization of GANs J Xuan, Y Yang, Z Yang, D He, L Wang arXiv preprint arXiv:1909.12638, 2019 | 4 | 2019 |
| UniCal: Unified Neural Sensor Calibration Z Yang, G Chen, H Zhang, K Ta, IA Bârsan, D Murphy, S Manivasagam, ... European Conference on Computer Vision, 327-345, 2024 | 1 | 2024 |
Raquel UrtasunFounder & CEO Waabi, Professor, University of Toronto.E-mail megerősítve itt: cs.toronto.edu