Publications

Yuxiang Lu, Shengcao Cao, Yu-Xiong Wang (2024). Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning.

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Shengcao Cao, Liang-Yan Gui, Yu-Xiong Wang (2024). Emerging Pixel Grounding in Large Multimodal Models Without Grounding Supervision.

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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 (2024). Aligning Large Multimodal Models with Factually Augmented RLHF. In ACL Findings 2024.

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Zhihao Zhang, Shengcao Cao, Yu-Xiong Wang (2024). TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding. In CVPR 2024.

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Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liang-Yan Gui, Tong Sun, Yu-Xiong Wang (2024). SOHES: Self-supervised Open-world Hierarchical Entity Segmentation. In ICLR 2024.

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Shengcao Cao, Dhiraj Joshi, Liang-Yan Gui, Yu-Xiong Wang (2023). HASSOD: Hierarchical Adaptive Self-Supervised Object Detection. In NeurIPS 2023.

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Shengcao Cao, Mengtian Li, James Hays, Deva Ramanan, Yu-Xiong Wang, Liang-Yan Gui (2023). Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation. In ICML 2023.

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Shengcao Cao, Dhiraj Joshi, Liang-Yan Gui, Yu-Xiong Wang (2023). Contrastive Mean Teacher for Domain Adaptive Object Detectors. In CVPR 2023.

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Zhiqing Sun, Shengcao Cao, Yiming Yang, Kris M. Kitani (2021). Rethinking Transformer-Based Set Prediction for Object Detection. In ICCV 2021.

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Xiaofang Wang, Shengcao Cao, Mengtian Li, Kris M. Kitani (2021). Neighborhood-Aware Neural Architecture Search. In BMVC 2021.

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Shengcao Cao, Xiaofang Wang, Kris M. Kitani (2021). Efficient Model Performance Estimation via Feature Histories. Preprint.

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Shengcao Cao, Xiaofang Wang, Kris M. Kitani (2019). Learnable Embedding Space for Efficient Neural Architecture Compression. In ICLR 2019.

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