Jianxin Wu

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 38

Top Topics

Weakly Supervised

Object Detection

Benchmark Datasets

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Hao Yu, Yingxiao Du, Jianxin Wu
Reviving Undersampling for Long-Tailed Learning. CoRR (2024)
Ningyuan Tang, Minghao Fu, Ke Zhu, Jianxin Wu
Low-rank Attention Side-Tuning for Parameter-Efficient Fine-Tuning. CoRR (2024)
Yun-Hao Cao, Jianxin Wu
On Improving the Algorithm-, Model-, and Data- Efficiency of Self-Supervised Learning. CoRR (2024)
Hao Yu, Minghao Fu, Jiandong Ding, Yusheng Zhou, Jianxin Wu
Unified Low-rank Compression Framework for Click-through Rate Prediction. CoRR (2024)
Yun-Hao Cao, Jianxin Wu
Tobias: A Random CNN Sees Objects. IEEE Trans. Pattern Anal. Mach. Intell. 46 (2) (2024)
Jie Shao, Ke Zhu, Hanxiao Zhang, Jianxin Wu
DiffuLT: How to Make Diffusion Model Useful for Long-tail Recognition. CoRR (2024)
Ke Zhu, Minghao Fu, Jie Shao, Tianyu Liu, Jianxin Wu
Rectify the Regression Bias in Long-Tailed Object Detection. CoRR (2024)
Minghao Fu, Ke Zhu, Jianxin Wu
DTL: Disentangled Transfer Learning for Visual Recognition. AAAI (2024)
Hao Yu, Minghao Fu, Jiandong Ding, Yusheng Zhou, Jianxin Wu
Unified Low-rank Compression Framework for Click-through Rate Prediction. KDD (2024)
Ningyuan Tang, Minghao Fu, Jianxin Wu
Minimal Interaction Edge Tuning: A New Paradigm for Visual Adaptation. CoRR (2024)
Ke Zhu, Yin-Yin He, Jianxin Wu
Quantized Feature Distillation for Network Quantization. AAAI (2023)
Ke Zhu, Yin-Yin He, Jianxin Wu
Coarse Is Better? A New Pipeline Towards Self-Supervised Learning with Uncurated Images. CoRR (2023)
Lin Sui, Chen-Lin Zhang, Jianxin Wu
Salvage of Supervision in Weakly Supervised Object Detection and Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Ke Zhu, Minghao Fu, Jianxin Wu
Multi-Label Self-Supervised Learning with Scene Images. ICCV (2023)
Ke Zhu, Minghao Fu, Jianxin Wu
Multi-Label Self-Supervised Learning with Scene Images. CoRR (2023)
Yingxiao Du, Jianxin Wu
No One Left Behind: Improving the Worst Categories in Long-Tailed Learning. CVPR (2023)
Yingxiao Du, Jianxin Wu
No One Left Behind: Improving the Worst Categories in Long-Tailed Learning. CoRR (2023)
Ke Zhu, Yin-Yin He, Jianxin Wu
Quantized Feature Distillation for Network Quantization. CoRR (2023)
Guo-Hua Wang, Jianxin Wu
Practical Network Acceleration with Tiny Sets. CVPR (2023)
Minghao Fu, Ke Zhu, Jianxin Wu
DTL: Disentangled Transfer Learning for Visual Recognition. CoRR (2023)
Guo-Hua Wang, Jianxin Wu
Practical Network Acceleration with Tiny Sets: Hypothesis, Theory, and Algorithm. CoRR (2023)
Minghao Fu, Ke Zhu, Jianxin Wu
Instance-based Max-margin for Practical Few-shot Recognition. CoRR (2023)
Minghao Fu, Yun-Hao Cao, Jianxin Wu
Worst Case Matters for Few-Shot Recognition. ECCV (20) (2022)
Fu Xiong, Yang Xiao, Zhiguo Cao, Yancheng Wang, Joey Tianyi Zhou, Jianxin Wu
ECML: An Ensemble Cascade Metric-Learning Mechanism Toward Face Verification. IEEE Trans. Cybern. 52 (3) (2022)
Chen-Lin Zhang, Jianxin Wu, Yin Li
ActionFormer: Localizing Moments of Actions with Transformers. ECCV (4) (2022)
Huanyu Wang, Junjie Liu, Xin Ma, Yang Yong, Zhenhua Chai, Jianxin Wu
Compressing Models with Few Samples: Mimicking then Replacing. CVPR (2022)
Yun-Hao Cao, Hao Yu, Jianxin Wu
Training Vision Transformers with only 2040 Images. ECCV (25) (2022)
Lin Sui, Chen-Lin Zhang, Jianxin Wu
Salvage of Supervision in Weakly Supervised Object Detection. CVPR (2022)
Yun-Hao Cao, Peiqin Sun, Yechang Huang, Jianxin Wu, Shuchang Zhou
Synergistic Self-supervised and Quantization Learning. CoRR (2022)
Minghao Fu, Yun-Hao Cao, Jianxin Wu
Worst Case Matters for Few-Shot Recognition. CoRR (2022)
Xiu-Shen Wei, Yi-Zhe Song, Oisin Mac Aodha, Jianxin Wu, Yuxin Peng, Jinhui Tang, Jian Yang, Serge J. Belongie
Fine-Grained Image Analysis With Deep Learning: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Guo-Hua Wang, Yifan Ge, Jianxin Wu
Distilling Knowledge by Mimicking Features. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Huanyu Wang, Yongshun Zhang, Jianxin Wu
Versatile, full-spectrum, and swift network sampling for model generation. Pattern Recognit. 129 (2022)
Yun-Hao Cao, Peiqin Sun, Yechang Huang, Jianxin Wu, Shuchang Zhou
Synergistic Self-supervised and Quantization Learning. ECCV (30) (2022)
Yun-Hao Cao, Jianxin Wu
A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications. AAAI (2022)
Ke Zhu, Jianxin Wu
Residual Attention: A Simple but Effective Method for Multi-Label Recognition. ICCV (2021)
Yin-Yin He, Jianxin Wu, Xiu-Shen Wei
Distilling Virtual Examples for Long-tailed Recognition. ICCV (2021)
Zeren Sun, Yazhou Yao, Xiu-Shen Wei, Yongshun Zhang, Fumin Shen, Jianxin Wu, Jian Zhang, Heng Tao Shen
Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach. ICCV (2021)