Wu, Jianxin

58 publications

AAAI 2025 All You Need in Knowledge Distillation Is a Tailored Coordinate System Junjie Zhou, Ke Zhu, Jianxin Wu

NeurIPS 2025 GPLQ: A General, Practical, and Lightning QAT Method for Vision Transformers Guang Liang, Xinyao Liu, Jianxin Wu

ICCV 2025 Memory-Efficient Generative Models via Product Quantization Jie Shao, Hanxiao Zhang, Hao Yu, Jianxin Wu

CVPR 2025 Minimal Interaction Seperated Tuning: A New Paradigm for Visual Adaptation Ningyuan Tang, Minghao Fu, Jianxin Wu

CVPR 2025 Quantization Without Tears Minghao Fu, Hao Yu, Jie Shao, Junjie Zhou, Ke Zhu, Jianxin Wu

AAAI 2025 Treasures in Discarded Weights for LLM Quantization Hao Yu, Yang Zhou, Bohua Chen, Zelan Yang, Shen Li, Yong Li, Jianxin Wu

NeurIPS 2025 Who Reasons in the Large Language Models? Jie Shao, Jianxin Wu

AAAI 2024 DTL: Disentangled Transfer Learning for Visual Recognition Minghao Fu, Ke Zhu, Jianxin Wu

NeurIPS 2024 DiffuLT: Diffusion for Long-Tail Recognition Without External Knowledge Jie Shao, Ke Zhu, Hanxiao Zhang, Jianxin Wu

ECCV 2024 Rectify the Regression Bias in Long-Tailed Object Detection Ke Zhu, Minghao Fu, Jie Shao, Tianyu Liu, Jianxin Wu

AAAI 2023 Compressing Transformers: Features Are Low-Rank, but Weights Are Not! Hao Yu, Jianxin Wu

ICCV 2023 Multi-Label Self-Supervised Learning with Scene Images Ke Zhu, Minghao Fu, Jianxin Wu

CVPR 2023 No One Left Behind: Improving the Worst Categories in Long-Tailed Learning Yingxiao Du, Jianxin Wu

CVPR 2023 Practical Network Acceleration with Tiny Sets Guo-Hua Wang, Jianxin Wu

AAAI 2023 Quantized Feature Distillation for Network Quantization Ke Zhu, Yin-Yin He, Jianxin Wu

AAAI 2022 A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications Yun-Hao Cao, Jianxin Wu

ECCV 2022 ActionFormer: Localizing Moments of Actions with Transformers Chen-Lin Zhang, Jianxin Wu, Yin Li

CVPR 2022 Compressing Models with Few Samples: Mimicking Then Replacing Huanyu Wang, Junjie Liu, Xin Ma, Yang Yong, Zhenhua Chai, Jianxin Wu

CVPR 2022 Salvage of Supervision in Weakly Supervised Object Detection Lin Sui, Chen-Lin Zhang, Jianxin Wu

ECCV 2022 Synergistic Self-Supervised and Quantization Learning Yun-Hao Cao, Peiqin Sun, Yechang Huang, Jianxin Wu, Shuchang Zhou

ECCV 2022 Training Vision Transformers with Only 2040 Images Yun-Hao Cao, Hao Yu, Jianxin Wu

ECCV 2022 Worst Case Matters for Few-Shot Recognition Minghao Fu, Yun-Hao Cao, Jianxin Wu

AAAI 2021 Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks Yongshun Zhang, Xiu-Shen Wei, Boyan Zhou, Jianxin Wu

ICCV 2021 Distilling Virtual Examples for Long-Tailed Recognition Yin-Yin He, Jianxin Wu, Xiu-Shen Wei

ICCV 2021 Residual Attention: A Simple but Effective Method for Multi-Label Recognition Ke Zhu, Jianxin Wu

ICCV 2021 Webly Supervised Fine-Grained Recognition: Benchmark Datasets and an Approach Zeren Sun, Yazhou Yao, Xiu-Shen Wei, Yongshun Zhang, Fumin Shen, Jianxin Wu, Jian Zhang, Heng Tao Shen

AAAI 2020 Deep Discriminative CNN with Temporal Ensembling for Ambiguously-Labeled Image Classification Yao Yao, Jiehui Deng, Xiuhua Chen, Chen Gong, Jianxin Wu, Jian Yang

AAAI 2020 Repetitive Reprediction Deep Decipher for Semi-Supervised Learning Guo-Hua Wang, Jianxin Wu

AAAI 2018 Action Recognition with Coarse-to-Fine Deep Feature Integration and Asynchronous Fusion Weiyao Lin, Chongyang Zhang, Ke Lu, Bin Sheng, Jianxin Wu, Bingbing Ni, Xin Liu, Hongkai Xiong

IJCAI 2018 Age Estimation Using Expectation of Label Distribution Learning Bin-Bin Gao, Hong-Yu Zhou, Jianxin Wu, Xin Geng

ICCV 2017 Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu

IJCAI 2017 Deep Descriptor Transforming for Image Co-Localization Xiu-Shen Wei, Chen-Lin Zhang, Yao Li, Chen-Wei Xie, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou

ICCV 2017 ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression Jian-Hao Luo, Jianxin Wu, Weiyao Lin

ECCV 2016 Deep Bimodal Regression for Apparent Personality Analysis Chen-Lin Zhang, Hao Zhang, Xiu-Shen Wei, Jianxin Wu

ECCVW 2016 Deep Bimodal Regression for Apparent Personality Analysis Chen-Lin Zhang, Hao Zhang, Xiu-Shen Wei, Jianxin Wu

CVPR 2016 Exploit Bounding Box Annotations for Multi-Label Object Recognition Hao Yang, Joey Tianyi Zhou, Yu Zhang, Bin-Bin Gao, Jianxin Wu, Jianfei Cai

AAAI 2016 Representing Sets of Instances for Visual Recognition Jianxin Wu, Bin-Bin Gao, Guoqing Liu

ICCVW 2015 Deep Label Distribution Learning for Apparent Age Estimation Xu Yang, Bin-Bin Gao, Chao Xing, Zeng-Wei Huo, Xiu-Shen Wei, Ying Zhou, Jianxin Wu, Xin Geng

ICCVW 2015 Deep Spatial Pyramid Ensemble for Cultural Event Recognition Xiu-Shen Wei, Bin-Bin Gao, Jianxin Wu

ICCV 2015 Person Re-Identification with Correspondence Structure Learning Yang Shen, Weiyao Lin, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang

CVPR 2014 Compact Representation for Image Classification: To Choose or to Compress? Yu Zhang, Jianxin Wu, Jianfei Cai

ECCV 2014 Finding Coherent Motions and Semantic Regions in Crowd Scenes: A Diffusion and Clustering Approach Weiyue Wang, Weiyao Lin, Yuanzhe Chen, Jianxin Wu, Jingdong Wang, Bin Sheng

ACML 2014 Learning with Augmented Multi-Instance View Yue Zhu, Jianxin Wu, Yuan Jiang, Zhi-Hua Zhou

ECCV 2014 Optimizing Ranking Measures for Compact Binary Code Learning Guosheng Lin, Chunhua Shen, Jianxin Wu

CVPR 2014 Towards Good Practices for Action Video Encoding Jianxin Wu, Yu Zhang, Weiyao Lin

IJCAI 2013 Reduced Heteroscedasticity Linear Regression for Nyström Approximation Hao Yang, Jianxin Wu

ACML 2012 Key Instance Detection in Multi-Instance Learning Guoqing Liu, Jianxin Wu, Zhi-Hua Zhou

CVPR 2012 Power Mean SVM for Large Scale Visual Classification Jianxin Wu

ACML 2012 Practical Large Scale Classification with Additive Kernels Hao Yang, Jianxin Wu

JMLR 2011 Efficient and Effective Visual Codebook Generation Using Additive Kernels Jianxin Wu, Wei-Chian Tan, James M. Rehg

IJCAI 2011 Probit Classifiers with a Generalized Gaussian Scale Mixture Prior Guoqing Liu, Jianxin Wu, Suiping Zhou

ECCV 2010 A Fast Dual Method for HIK SVM Learning Jianxin Wu

ICCV 2009 Beyond the Euclidean Distance: Creating Effective Visual Codebooks Using the Histogram Intersection Kernel Jianxin Wu, James M. Rehg

CVPR 2008 Where Am I: Place Instance and Category Recognition Using Spatial PACT Jianxin Wu, James M. Rehg

ICCV 2007 A Scalable Approach to Activity Recognition Based on Object Use Jianxin Wu, Adebola Osuntogun, Tanzeem Choudhury, Matthai Philipose, James M. Rehg

ICML 2005 Linear Asymmetric Classifier for Cascade Detectors Jianxin Wu, Matthew D. Mullin, James M. Rehg

NeurIPS 2003 Learning a Rare Event Detection Cascade by Direct Feature Selection Jianxin Wu, James M. Rehg, Matthew D. Mullin

IJCAI 2001 Genetic Algorithm Based Selective Neural Network Ensemble Zhi-Hua Zhou, Jianxin Wu, Yuan Jiang, Shifu Chen