Shengcao Cao

According to our database, Shengcao Cao authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

TAMM: TriAdapter Multi-Modal Learning for 3D Shape Understanding.

Zhihao Zhang, Shengcao Cao, Yu-Xiong Wang

CoRR, 2024

2023

Aligning Large Multimodal Models with Factually Augmented RLHF.

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

CoRR, 2023

HASSOD: Hierarchical Adaptive Self-Supervised Object Detection.

Shengcao Cao, Dhiraj Joshi, Liangyan Gui, Yu-Xiong Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation.

Shengcao Cao, Mengtian Li, James Hays, Deva Ramanan, Yu-Xiong Wang, Liangyan Gui

Proceedings of the International Conference on Machine Learning, 2023

Contrastive Mean Teacher for Domain Adaptive Object Detectors.

Shengcao Cao, Dhiraj Joshi, Liang-Yan Gui, Yu-Xiong Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

Efficient Model Performance Estimation via Feature Histories.

Shengcao Cao, Xiaofang Wang, Kris Kitani

CoRR, 2021

Rethinking Transformer-based Set Prediction for Object Detection.

Zhiqing Sun, Shengcao Cao, Yiming Yang, Kris Kitani

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Neighborhood-Aware Neural Architecture Search.

Xiaofang Wang, Shengcao Cao, Mengtian Li, Kris Kitani

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2019

Learnable Embedding Space for Efficient Neural Architecture Compression.

Shengcao Cao, Xiaofang Wang, Kris M. Kitani

Proceedings of the 7th International Conference on Learning Representations, 2019