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Shengcao Cao
Shengcao Cao
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Zitiert von
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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
4122021
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
2602023
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
782023
Learnable embedding space for efficient neural architecture compression
S Cao, X Wang, KM Kitani
arXiv preprint arXiv:1902.00383, 2019
522019
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
142024
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
102023
HASSOD: Hierarchical adaptive self-supervised object detection
S Cao, D Joshi, L Gui, YX Wang
Advances in Neural Information Processing Systems 36, 59337-59359, 2023
82023
Neighborhood-aware neural architecture search
X Wang, S Cao, M Li, KM Kitani
arXiv preprint arXiv:2105.06369, 2021
52021
Efficient model performance estimation via feature histories
S Cao, X Wang, K Kitani
arXiv preprint arXiv:2103.04450, 2021
22021
Emerging pixel grounding in large multimodal models without grounding supervision
S Cao, LY Gui, YX Wang
arXiv preprint arXiv:2410.08209, 2024
12024
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
12024
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning
Y Lu, S Cao, YX Wang
arXiv preprint arXiv:2410.14633, 2024
2024
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