| Learning robust rewards with adversarial inverse reinforcement learning J Fu, K Luo, S Levine arXiv preprint arXiv:1710.11248, 2017 | 1152 | 2017 |
| Implicit latent variable model for scene-consistent motion forecasting S Casas, C Gulino, S Suo, K Luo, R Liao, R Urtasun Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 179 | 2020 |
| 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 | 51 | 2022 |
| 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 | 43 | 2022 |
| Augmenting lane perception and topology understanding with standard definition navigation maps KZ Luo, X Weng, Y Wang, S Wu, J Li, KQ Weinberger, Y Wang, M Pavone 2024 IEEE International Conference on Robotics and Automation (ICRA), 4029-4035, 2024 | 24 | 2024 |
| 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 | 19 | 2022 |
| Unsupervised Adaptation from Repeated Traversals for Autonomous Driving Y You, CP Phoo, KZ Luo, T Zhang, WL Chao, B Hariharan, M Campbell, ... Proceedings of the Conference on Neural Information Processing Systems, 2022 | 18 | 2022 |
| Denoising vision transformers J Yang, KZ Luo, J Li, C Deng, L Guibas, D Krishnan, KQ Weinberger, ... European Conference on Computer Vision, 453-469, 2024 | 14 | 2024 |
| Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting K Luo, S Casas, R Liao, X Yan, Y Xiong, W Zeng, R Urtasun Proceedings of the IEEE/RSJ International Conference on Intelligent Robots …, 2021 | 12* | 2021 |
| 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 | 9 | 2023 |
| Stay positive: Non-negative image synthesis for augmented reality K Luo, G Yang, W Xian, H Haraldsson, B Hariharan, S Belongie Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 6 | 2021 |
| 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 | 5 | 2023 |
| Diffubox: Refining 3d object detection with point diffusion X Chen, Z Liu, K Luo, S Datta, A Polavaram, Y Wang, Y You, B Li, ... Advances in Neural Information Processing Systems 37, 103681-103705, 2025 | 2 | 2025 |
| Orchestrating LLMs with Different Personalizations JP Zhou, KZ Luo, J Gu, J Yuan, KQ Weinberger, W Sun arXiv preprint arXiv:2407.04181, 2024 | 1 | 2024 |
| Better monocular 3d detectors with lidar from the past Y You, CP Phoo, CA Diaz-Ruiz, KZ Luo, WL Chao, M Campbell, ... 2024 IEEE International Conference on Robotics and Automation (ICRA), 6634-6641, 2024 | 1 | 2024 |
| Mixed Signals: A Diverse Point Cloud Dataset for Heterogeneous LiDAR V2X Collaboration KZ Luo, MQ Dao, Z Liu, M Campbell, WL Chao, KQ Weinberger, E Malis, ... arXiv preprint arXiv:2502.14156, 2025 | | 2025 |
| 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 |
| Residual Aligned: Gradient Optimization for Non-Negative Image Synthesis FY Shen, K Luo, G Yang, H Haraldsson, S Belongie arXiv preprint arXiv:2202.04036, 2022 | | 2022 |
| On Orchestrating Personalized LLMs JP Zhou, KZ Luo, J Gu, J Yuan, KQ Weinberger, W Sun | | |
Kilian WeinbergerCornell UniversityПотвърден имейл адрес: cornell.edu