| Simple black-box adversarial attacks C Guo, J Gardner, Y You, AG Wilson, K Weinberger International conference on machine learning, 2484-2493, 2019 | 575 | 2019 |
| Virtual to real reinforcement learning for autonomous driving X Pan, Y You, Z Wang, C Lu arXiv preprint arXiv:1704.03952, 2017 | 421 | 2017 |
| Pseudo-lidar++: Accurate depth for 3d object detection in autonomous driving Y You, Y Wang, WL Chao, D Garg, G Pleiss, B Hariharan, M Campbell, ... International Conference on Learning Representations, 2020 | 415 | 2020 |
| Resource aware person re-identification across multiple resolutions Y Wang, L Wang, Y You, X Zou, V Chen, S Li, G Huang, B Hariharan, ... Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 308 | 2018 |
| End-to-end pseudo-lidar for image-based 3d object detection R Qian, D Garg, Y Wang, Y You, S Belongie, B Hariharan, M Campbell, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 208 | 2020 |
| Train in germany, test in the usa: Making 3d object detectors generalize Y Wang, X Chen, Y You, LE Li, B Hariharan, M Campbell, KQ Weinberger, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 156 | 2020 |
| Learning to detect mobile objects from lidar scans without labels Y You, K Luo, CP Phoo, WL Chao, W Sun, B Hariharan, M Campbell, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 28 | 2022 |
| Ithaca365: Dataset and driving perception under repeated and challenging weather conditions CA Diaz-Ruiz, Y Xia, Y You, J Nino, J Chen, J Monica, X Chen, K Luo, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 26 | 2022 |
| Exploiting playbacks in unsupervised domain adaptation for 3d object detection in self-driving cars Y You, CA Diaz-Ruiz, Y Wang, WL Chao, B Hariharan, M Campbell, ... 2022 International Conference on Robotics and Automation (ICRA), 5070-5077, 2022 | 25 | 2022 |
| Depth estimation matters most: Improving per-object depth estimation for monocular 3d detection and tracking L Jing, R Yu, H Kretzschmar, K Li, CR Qi, H Zhao, A Ayvaci, X Chen, ... 2022 International Conference on Robotics and Automation (ICRA), 366-373, 2022 | 14 | 2022 |
| Unsupervised adaptation from repeated traversals for autonomous driving Y You, CP Phoo, K Luo, T Zhang, WL Chao, B Hariharan, M Campbell, ... Advances in Neural Information Processing Systems 35, 27716-27729, 2022 | 12 | 2022 |
| Hindsight is 20/20: Leveraging past traversals to aid 3d perception Y You, KZ Luo, X Chen, J Chen, WL Chao, W Sun, B Hariharan, ... arXiv preprint arXiv:2203.11405, 2022 | 12 | 2022 |
| Reward finetuning for faster and more accurate unsupervised object discovery K Luo, Z Liu, X Chen, Y You, S Benaim, CP Phoo, M Campbell, W Sun, ... Advances in Neural Information Processing Systems 36, 13250-13266, 2023 | 3 | 2023 |
| R4d: Utilizing reference objects for long-range distance estimation Y Li, T Chen, M Kabkab, R Yu, L Jing, Y You, H Zhao arXiv preprint arXiv:2206.04831, 2022 | 3 | 2022 |
| Better Monocular 3D Detectors with LiDAR from the Past Y You, CP Phoo, CA Diaz-Ruiz, KZ Luo, WL Chao, M Campbell, ... arXiv preprint arXiv:2404.05139, 2024 | 1 | 2024 |
| Pre-Training LiDAR-Based 3D Object Detectors Through Colorization TY Pan, C Ma, T Chen, CP Phoo, KZ Luo, Y You, M Campbell, ... arXiv preprint arXiv:2310.14592, 2023 | 1 | 2023 |
| Enhancing 3D Perception with Unlabeled Repeated Historical Data for Autonomous Vehicles Y You Cornell University, 2023 | 1 | 2023 |
| An empirical study of deep learning toolkits on tone classification Z Liu, Y You, Z Ye Icse 2020, 2020 | 1 | 2020 |
| DiffuBox: Refining 3D Object Detection with Point Diffusion X Chen, Z Liu, KZ Luo, S Datta, A Polavaram, Y Wang, Y You, B Li, ... arXiv preprint arXiv:2405.16034, 2024 | | 2024 |
| Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features T Zhang, K Luo, CP Phoo, Y You, WL Chao, B Hariharan, M Campbell, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | | 2023 |
Kilian WeinbergerCornell University在 cornell.edu 的电子邮件经过验证
