| Constructing self-motivated pyramid curriculums for cross-domain semantic segmentation: A non-adversarial approach Q Lian, F Lv, L Duan, B Gong Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 248 | 2019 |
| Weakly supervised disentangled generative causal representation learning X Shen, F Liu, H Dong, Q Lian, Z Chen, T Zhang Journal of Machine Learning Research 23 (241), 1-55, 2022 | 58 | 2022 |
| Monojsg: Joint semantic and geometric cost volume for monocular 3d object detection Q Lian, P Li, X Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 50 | 2022 |
| Exploring geometric consistency for monocular 3d object detection Q Lian, B Ye, R Xu, W Yao, T Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 41* | 2022 |
| R-Tuning: Instructing Large Language Models to Say ‘I Don’t Know’ H Zhang, S Diao, Y Lin, Y Fung, Q Lian, X Wang, Y Chen, H Ji, T Zhang Proceedings of the 2024 Conference of the North American Chapter of the …, 2024 | 39* | 2024 |
| Mv-fcos3d++: Multi-view camera-only 4d object detection with pretrained monocular backbones T Wang, Q Lian, C Zhu, X Zhu, W Zhang arXiv preprint arXiv:2207.12716, 2022 | 26 | 2022 |
| MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance R Pi, T Han, Y Xie, R Pan, Q Lian, H Dong, J Zhang, T Zhang arXiv preprint arXiv:2401.02906, 2024 | 21 | 2024 |
| Known-class aware self-ensemble for open set domain adaptation Q Lian, W Li, L Chen, L Duan arXiv preprint arXiv:1905.01068, 2019 | 20 | 2019 |
| Semi-supervised monocular 3d object detection by multi-view consistency Q Lian, Y Xu, W Yao, Y Chen, T Zhang European Conference on Computer Vision, 715-731, 2022 | 11 | 2022 |
| Lift3d: Synthesize 3d training data by lifting 2d gan to 3d generative radiance field L Li, Q Lian, L Wang, N Ma, YC Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 10 | 2023 |
| Dort: Modeling dynamic objects in recurrent for multi-camera 3d object detection and tracking L Qing, T Wang, D Lin, J Pang Conference on Robot Learning, 3749-3765, 2023 | 8 | 2023 |
| An empirical study of invariant risk minimization on deep models Y Lin, Q Lian, T Zhang ICML 2021 Workshop on Uncertainty and Robustness in Deep Learning 1 (2), 7, 2021 | 7 | 2021 |
| The Instinctive Bias: Spurious Images lead to Hallucination in MLLMs T Han, Q Lian, R Pan, R Pi, J Zhang, S Diao, Y Lin, T Zhang arXiv preprint arXiv:2402.03757, 2024 | 6 | 2024 |
| Adv3D: generating 3D adversarial examples in driving scenarios with nerf L Li, Q Lian, YC Chen arXiv preprint arXiv:2309.01351, 2023 | 5 | 2023 |
| Domain adaptive semantic segmentation through structure enhancement F Lv, Q Lian, G Yang, G Lin, S Jialin Pan, L Duan Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 4 | 2018 |
| Towards generalizable multi-camera 3d object detection via perspective debiasing H Lu, Y Zhang, Q Lian, D Du, Y Chen arXiv preprint arXiv:2310.11346, 2023 | 3 | 2023 |
| Optimal sample selection through uncertainty estimation and its application in deep learning Y Lin, C Liu, C Ye, Q Lian, Y Yao, T Zhang arXiv preprint arXiv:2309.02476, 2023 | 3 | 2023 |
| MEDL-U: Uncertainty-aware 3D Automatic Annotation based on Evidential Deep Learning H Paat, Q Lian, W Yao, T Zhang 2024 IEEE International Conference on Robotics and Automation (ICRA), 13976 …, 2024 | | 2024 |
Tong ZhangUIUC在 tongzhang-ml.org 的电子邮件经过验证
