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Yun-Hao Cao
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2020 – today
- 2024
- [j3]Yun-Hao Cao, Jian-Xin Wu:
Random Subspace Sampling for Classification with Missing Data. J. Comput. Sci. Technol. 39(2): 472-486 (2024) - [j2]Yun-Hao Cao, Jianxin Wu:
Tobias: A Random CNN Sees Objects. IEEE Trans. Pattern Anal. Mach. Intell. 46(2): 1290-1304 (2024) - [c7]Yun-Hao Cao, Kaixiang Ji, Ziyuan Huang, Chuanyang Zheng, Jiajia Liu, Jian Wang, Jingdong Chen, Ming Yang:
Towards Better Vision-Inspired Vision-Language Models. CVPR 2024: 13537-13547 - [i9]Yun-Hao Cao, Jianxin Wu:
On Improving the Algorithm-, Model-, and Data- Efficiency of Self-Supervised Learning. CoRR abs/2404.19289 (2024) - 2023
- [c6]Yun-Hao Cao, Peiqin Sun, Shuchang Zhou:
Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning. CVPR 2023: 15742-15751 - [i8]Yun-Hao Cao, Peiqin Sun, Shuchang Zhou:
Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning. CoRR abs/2303.06870 (2023) - 2022
- [c5]Yun-Hao Cao, Jianxin Wu:
A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications. AAAI 2022: 194-202 - [c4]Minghao Fu, Yun-Hao Cao, Jianxin Wu:
Worst Case Matters for Few-Shot Recognition. ECCV (20) 2022: 99-115 - [c3]Yun-Hao Cao, Hao Yu, Jianxin Wu:
Training Vision Transformers with only 2040 Images. ECCV (25) 2022: 220-237 - [c2]Yun-Hao Cao, Peiqin Sun, Yechang Huang, Jianxin Wu, Shuchang Zhou:
Synergistic Self-supervised and Quantization Learning. ECCV (30) 2022: 587-604 - [i7]Yun-Hao Cao, Hao Yu, Jianxin Wu:
Training Vision Transformers with Only 2040 Images. CoRR abs/2201.10728 (2022) - [i6]Minghao Fu, Yun-Hao Cao, Jianxin Wu:
Worst Case Matters for Few-Shot Recognition. CoRR abs/2203.06574 (2022) - [i5]Yun-Hao Cao, Peiqin Sun, Yechang Huang, Jianxin Wu, Shuchang Zhou:
Synergistic Self-supervised and Quantization Learning. CoRR abs/2207.05432 (2022) - 2021
- [j1]Yun-Hao Cao, Jianxin Wu, Hanchen Wang, Joan Lasenby:
Neural random subspace. Pattern Recognit. 112: 107801 (2021) - [i4]Yun-Hao Cao, Jianxin Wu:
Rethinking Self-Supervised Learning: Small is Beautiful. CoRR abs/2103.13559 (2021) - [i3]Yun-Hao Cao, Jianxin Wu:
A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications. CoRR abs/2106.09259 (2021) - 2020
- [c1]Chen-Lin Zhang, Yun-Hao Cao, Jianxin Wu:
Rethinking the Route Towards Weakly Supervised Object Localization. CVPR 2020: 13457-13466 - [i2]Chen-Lin Zhang, Yun-Hao Cao, Jianxin Wu:
Rethinking the Route Towards Weakly Supervised Object Localization. CoRR abs/2002.11359 (2020)
2010 – 2019
- 2019
- [i1]Yun-Hao Cao, Jianxin Wu:
Neural Forest Learning. CoRR abs/1911.07845 (2019)
Coauthor Index
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