Yun-Hao Cao

According to our database, Yun-Hao Cao authored at least 10 papers between 2019 and 2024.

Collaborative distances:

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

2024

Tobias: A Random CNN Sees Objects.

Yun-Hao Cao, Jianxin Wu

IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

2023

Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning.

Yun-Hao Cao, Peiqin Sun, Shuchang Zhou

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

2022

Worst Case Matters for Few-Shot Recognition.

Minghao Fu, Yun-Hao Cao, Jianxin Wu

Proceedings of the Computer Vision - ECCV 2022, 2022

Training Vision Transformers with only 2040 Images.

Yun-Hao Cao, Hao Yu, Jianxin Wu

Proceedings of the Computer Vision - ECCV 2022, 2022

Synergistic Self-supervised and Quantization Learning.

Yun-Hao Cao, Peiqin Sun, Yechang Huang, Jianxin Wu, Shuchang Zhou

Proceedings of the Computer Vision - ECCV 2022, 2022

A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications.

Yun-Hao Cao, Jianxin Wu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Neural random subspace.

Yun-Hao Cao, Jianxin Wu, Hanchen Wang, Joan Lasenby

Pattern Recognit., 2021

Rethinking Self-Supervised Learning: Small is Beautiful.

Yun-Hao Cao, Jianxin Wu

CoRR, 2021

2020

Rethinking the Route Towards Weakly Supervised Object Localization.

Chen-Lin Zhang, Yun-Hao Cao, Jianxin Wu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Neural Forest Learning.

Yun-Hao Cao, Jianxin Wu

CoRR, 2019