| Rethinking transformer-based set prediction for object detection Z Sun, S Cao, Y Yang, KM Kitani Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 311 | 2021 |
| Aligning large multimodal models with factually augmented rlhf Z Sun, S Shen, S Cao, H Liu, C Li, Y Shen, C Gan, LY Gui, YX Wang, ... arXiv preprint arXiv:2309.14525, 2023 | 58 | 2023 |
| Learnable embedding space for efficient neural architecture compression S Cao, X Wang, KM Kitani arXiv preprint arXiv:1902.00383, 2019 | 49 | 2019 |
| Contrastive mean teacher for domain adaptive object detectors S Cao, D Joshi, LY Gui, YX Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 16 | 2023 |
| Neighborhood-aware neural architecture search X Wang, S Cao, M Li, KM Kitani arXiv preprint arXiv:2105.06369, 2021 | 4 | 2021 |
| Efficient model performance estimation via feature histories S Cao, X Wang, K Kitani arXiv preprint arXiv:2103.04450, 2021 | 2 | 2021 |
| TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding Z Zhang, S Cao, YX Wang arXiv preprint arXiv:2402.18490, 2024 | | 2024 |
| HASSOD: Hierarchical Adaptive Self-Supervised Object Detection S Cao, D Joshi, L Gui, YX Wang Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| SOHES: Self-supervised Open-world Hierarchical Entity Segmentation S Cao, J Gu, J Kuen, H Tan, R Zhang, H Zhao, A Nenkova, L Gui, T Sun, ... The Twelfth International Conference on Learning Representations, 2023 | | 2023 |
| Learning lightweight object detectors via multi-teacher progressive distillation S Cao, M Li, J Hays, D Ramanan, YX Wang, L Gui International Conference on Machine Learning, 3577-3598, 2023 | | 2023 |
