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2020 – today
- 2024
[c7]Minghao Fu, Ke Zhu, Jianxin Wu:
DTL: Disentangled Transfer Learning for Visual Recognition. AAAI 2024: 12082-12090- [c6]Minghao Fu, Ke Zhu:
Instance-based Max-margin for Practical Few-shot Recognition. CVPR 2024: 28674-28683 - [c5]Hao Yu
, Minghao Fu, Jiandong Ding, Yusheng Zhou, Jianxin Wu:
Unified Low-rank Compression Framework for Click-through Rate Prediction. KDD 2024: 6169-6180 - [i11]Ke Zhu, Minghao Fu, Jie Shao, Tianyu Liu, Jianxin Wu:
Rectify the Regression Bias in Long-Tailed Object Detection. CoRR abs/2401.15885 (2024) - [i10]Ningyuan Tang, Minghao Fu, Ke Zhu, Jianxin Wu:
Low-rank Attention Side-Tuning for Parameter-Efficient Fine-Tuning. CoRR abs/2402.04009 (2024) - [i9]Hao Yu, Minghao Fu, Jiandong Ding, Yusheng Zhou, Jianxin Wu:
Unified Low-rank Compression Framework for Click-through Rate Prediction. CoRR abs/2405.18146 (2024) - [i8]Ningyuan Tang, Minghao Fu, Jianxin Wu:
Minimal Interaction Edge Tuning: A New Paradigm for Visual Adaptation. CoRR abs/2406.17559 (2024) - [i7]Hongzhi Shu, Xinglin Li, Hongyu Jiang, Minghao Fu, Xinyu Li:
Benchmarking Sub-Genre Classification For Mainstage Dance Music. CoRR abs/2409.06690 (2024) - 2023
- [c4]Ke Zhu, Minghao Fu, Jianxin Wu:
Multi-Label Self-Supervised Learning with Scene Images. ICCV 2023: 6671-6680 - [i6]Minghao Fu, Ke Zhu, Jianxin Wu:
Instance-based Max-margin for Practical Few-shot Recognition. CoRR abs/2305.17368 (2023) - [i5]Minghao Fu, Xin Man, Yihan Xu, Jie Shao:
ESTISR: Adapting Efficient Scene Text Image Super-resolution for Real-Scenes. CoRR abs/2306.02443 (2023) - [i4]Ke Zhu, Minghao Fu, Jianxin Wu:
Multi-Label Self-Supervised Learning with Scene Images. CoRR abs/2308.03286 (2023) - [i3]Minghao Fu, Ke Zhu, Jianxin Wu:
DTL: Disentangled Transfer Learning for Visual Recognition. CoRR abs/2312.07856 (2023) - 2022
- [c3]Minghao Fu, Dongyang Zhang, Min Lei, Kun He, Changyu Li, Jie Shao:
Wide Feature Projection with Fast and Memory-Economic Attention for Efficient Image Super-Resolution. BMVC 2022: 615 - [c2]Minghao Fu, Yun-Hao Cao, Jianxin Wu:
Worst Case Matters for Few-Shot Recognition. ECCV (20) 2022: 99-115 - [c1]Minghao Fu, Haoran Zhu, Jelena V. Misic, Vojislav B. Misic, Jing Bai, Xiaolin Chang:
Evaluating Checkpointing Capability against Eclipse-based Stake-Bleeding Attack in PoS Blockchain. ISPA/BDCloud/SocialCom/SustainCom 2022: 937-944 - [i2]Minghao Fu, Yun-Hao Cao, Jianxin Wu:
Worst Case Matters for Few-Shot Recognition. CoRR abs/2203.06574 (2022) - 2020
- [i1]Minghao Fu, Zhenshan Xie, Wen Li, Lixin Duan:
Deeply Aligned Adaptation for Cross-domain Object Detection. CoRR abs/2004.02093 (2020)
Coauthor Index
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