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 | 339 | 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 | 90 | 2023 |
Learnable embedding space for efficient neural architecture compression S Cao, X Wang, KM Kitani arXiv preprint arXiv:1902.00383, 2019 | 50 | 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 | 33 | 2023 |
Neighborhood-aware neural architecture search X Wang, S Cao, M Li, KM Kitani arXiv preprint arXiv:2105.06369, 2021 | 5 | 2021 |
Tamm: Triadapter multi-modal learning for 3d shape understanding Z Zhang, S Cao, YX Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 4 | 2024 |
HASSOD: Hierarchical adaptive self-supervised object detection S Cao, D Joshi, L Gui, YX Wang Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
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 | 2 | 2023 |
Efficient model performance estimation via feature histories S Cao, X Wang, K Kitani arXiv preprint arXiv:2103.04450, 2021 | 2 | 2021 |
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation S Cao, J Gu, J Kuen, H Tan, R Zhang, H Zhao, A Nenkova, LY Gui, T Sun, ... arXiv preprint arXiv:2404.12386, 2024 | 1 | 2024 |