Shengcao Cao

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Object Detectors

Neural Architecture

Embedding Space

Top Venues

Publications

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)
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 (2024)
Shengcao Cao, Dhiraj Joshi, Liang-Yan Gui, Yu-Xiong Wang
HASSOD: Hierarchical Adaptive Self-Supervised Object Detection. CoRR (2024)
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)
Zhihao Zhang, Shengcao Cao, Yu-Xiong Wang
TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding. CoRR (2024)
Shengcao Cao, Mengtian Li, James Hays, Deva Ramanan, Yu-Xiong Wang, Liang-Yan Gui
Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation. CoRR (2023)
Shengcao Cao, Dhiraj Joshi, Liang-Yan Gui, Yu-Xiong Wang
Contrastive Mean Teacher for Domain Adaptive Object Detectors. CVPR (2023)
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 (2023)
Shengcao Cao, Dhiraj Joshi, Liang-Yan Gui, Yu-Xiong Wang
Contrastive Mean Teacher for Domain Adaptive Object Detectors. CoRR (2023)
Shengcao Cao, Dhiraj Joshi, Liangyan Gui, Yu-Xiong Wang
HASSOD: Hierarchical Adaptive Self-Supervised Object Detection. NeurIPS (2023)
Shengcao Cao, Mengtian Li, James Hays, Deva Ramanan, Yu-Xiong Wang, Liangyan Gui
Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation. ICML (2023)
Zhiqing Sun, Shengcao Cao, Yiming Yang, Kris Kitani
Rethinking Transformer-based Set Prediction for Object Detection. ICCV (2021)
Shengcao Cao, Xiaofang Wang, Kris Kitani
Efficient Model Performance Estimation via Feature Histories. CoRR (2021)
Xiaofang Wang, Shengcao Cao, Mengtian Li, Kris M. Kitani
Neighborhood-Aware Neural Architecture Search. CoRR (2021)
Xiaofang Wang, Shengcao Cao, Mengtian Li, Kris Kitani
Neighborhood-Aware Neural Architecture Search. BMVC (2021)
Zhiqing Sun, Shengcao Cao, Yiming Yang, Kris Kitani
Rethinking Transformer-based Set Prediction for Object Detection. CoRR (2020)
Shengcao Cao, Xiaofang Wang, Kris M. Kitani
Learnable Embedding Space for Efficient Neural Architecture Compression. ICLR (Poster) (2019)
Shengcao Cao, Xiaofang Wang, Kris M. Kitani
Learnable Embedding Space for Efficient Neural Architecture Compression. CoRR (2019)