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2020 – today
- 2024
[c9]Zhiqing Sun, Sheng Shen, Shengcao Cao, Haotian Liu, Chunyuan Li, Yikang Shen, Chuang Gan, Liangyan Gui, Yu-Xiong Wang, Yiming Yang, Kurt Keutzer, Trevor Darrell:
Aligning Large Multimodal Models with Factually Augmented RLHF. ACL (Findings) 2024: 13088-13110- [c8]Zhihao Zhang, Shengcao Cao, Yu-Xiong Wang:
TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding. CVPR 2024: 21413-21423 - [c7]Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liangyan Gui, Tong Sun, Yu-Xiong Wang:
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation. ICLR 2024 - [i10]Shengcao Cao, Dhiraj Joshi, Liang-Yan Gui, Yu-Xiong Wang:
HASSOD: Hierarchical Adaptive Self-Supervised Object Detection. CoRR abs/2402.03311 (2024) - [i9]Zhihao Zhang, Shengcao Cao, Yu-Xiong Wang:
TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding. CoRR abs/2402.18490 (2024) - [i8]Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liang-Yan Gui, Tong Sun, Yu-Xiong Wang:
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation. CoRR abs/2404.12386 (2024) - 2023
- [c6]Shengcao Cao, Dhiraj Joshi, Liang-Yan Gui, Yu-Xiong Wang:
Contrastive Mean Teacher for Domain Adaptive Object Detectors. CVPR 2023: 23839-23848 - [c5]Shengcao Cao, Mengtian Li, James Hays, Deva Ramanan, Yu-Xiong Wang, Liangyan Gui:
Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation. ICML 2023: 3577-3598 - [c4]Shengcao Cao, Dhiraj Joshi, Liangyan Gui, Yu-Xiong Wang:
HASSOD: Hierarchical Adaptive Self-Supervised Object Detection. NeurIPS 2023 - [i7]Shengcao Cao, Dhiraj Joshi, Liang-Yan Gui, Yu-Xiong Wang:
Contrastive Mean Teacher for Domain Adaptive Object Detectors. CoRR abs/2305.03034 (2023) - [i6]Shengcao Cao, Mengtian Li, James Hays, Deva Ramanan, Yu-Xiong Wang, Liang-Yan Gui:
Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation. CoRR abs/2308.09105 (2023) - [i5]Zhiqing Sun, Sheng Shen, Shengcao Cao, Haotian Liu, Chunyuan Li, Yikang Shen, Chuang Gan, Liang-Yan Gui, Yu-Xiong Wang, Yiming Yang, Kurt Keutzer, Trevor Darrell:
Aligning Large Multimodal Models with Factually Augmented RLHF. CoRR abs/2309.14525 (2023) - 2021
- [c3]Xiaofang Wang, Shengcao Cao, Mengtian Li, Kris Kitani:
Neighborhood-Aware Neural Architecture Search. BMVC 2021: 178 - [c2]Zhiqing Sun, Shengcao Cao, Yiming Yang, Kris Kitani:
Rethinking Transformer-based Set Prediction for Object Detection. ICCV 2021: 3591-3600 - [i4]Shengcao Cao, Xiaofang Wang, Kris Kitani:
Efficient Model Performance Estimation via Feature Histories. CoRR abs/2103.04450 (2021) - [i3]Xiaofang Wang, Shengcao Cao, Mengtian Li, Kris M. Kitani:
Neighborhood-Aware Neural Architecture Search. CoRR abs/2105.06369 (2021) - 2020
- [i2]Zhiqing Sun, Shengcao Cao, Yiming Yang, Kris Kitani:
Rethinking Transformer-based Set Prediction for Object Detection. CoRR abs/2011.10881 (2020)
2010 – 2019
- 2019
- [c1]Shengcao Cao, Xiaofang Wang, Kris M. Kitani:
Learnable Embedding Space for Efficient Neural Architecture Compression. ICLR (Poster) 2019 - [i1]Shengcao Cao, Xiaofang Wang, Kris M. Kitani:
Learnable Embedding Space for Efficient Neural Architecture Compression. CoRR abs/1902.00383 (2019)
Coauthor Index
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