Jianxin Wu (吴建鑫)

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Zhi-Hua ZhouNanjing UniversityVerified email at nju.edu.cn
Xiu-Shen WeiProfessor, Southeast UniversityVerified email at seu.edu.cn
Weiyao LinProfessor, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
James M. RehgFounder Professor of Computer Science, University of Illinois at Urbana-ChampaignVerified email at illinois.edu
Jian-Hao LuoConsumer Cloud Service CBG, HuaweiVerified email at lamda.nju.edu.cn
Chen-Lin ZhangMoonshot AI LtdVerified email at lamda.nju.edu.cn
Bin-Bin GaoSenior Researcher, Tencent YouTuVerified email at lamda.nju.edu.cn
Chen-Wei XieAlibaba GroupVerified email at alibaba-inc.com
Jianfei CaiProfessor of Data Science & AI, Monash UniversityVerified email at monash.edu
Chunhua ShenZhejiang UniversityVerified email at zju.edu.cn
Hong-Yu ZhouHarvard UniversityVerified email at hms.harvard.edu
Xin GengSchool of Computer Science and Engineering, Southeast UniversityVerified email at seu.edu.cn
Hao YangAmazon Web ServicesVerified email at amazon.com
Ke ZhuNanjing UniversityVerified email at lamda.nju.edu.cn
Yun-Hao CaoNanjing UniversityVerified email at lamda.nju.edu.cn
Hao YuNanjing UniversityVerified email at lamda.nju.edu.cn
Gang ZhouClass of 2027 Professor, IEEE Fellow, Computer Science, William & MaryVerified email at wm.edu
Guo-Hua WangConsumer Cloud Service CBG, HuaweiVerified email at huawei.com
Yin LiAssistant Professor, University of Wisconsin-MadisonVerified email at wisc.edu
Jun Luo (罗骏)IEEE Fellow, College of Computing and Data Science, Nanyang Technological University, SingaporeVerified email at ntu.edu.sg

Jianxin Wu (吴建鑫)

Nanjing University

Verified email at nju.edu.cn - Homepage

Computer Vision Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Exploratory undersampling for class-imbalance learning XY Liu, J Wu, ZH Zhou IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 39 …, 2009	3086	2009
Ensembling neural networks: many could be better than all ZH Zhou, J Wu, W Tang Artificial intelligence 137 (1-2), 239-263, 2002	2737	2002
Thinet: A filter level pruning method for deep neural network compression JH Luo, J Wu, W Lin 2017 IEEE International Conference on Computer Vision (ICCV), 5068-5076, 2017	2225	2017
CENTRIST: A visual descriptor for scene categorization J Wu, JM Rehg Pattern Analysis and Machine Intelligence, IEEE Transactions on 33 (8), 1489 …, 2011	928	2011
Introduction to convolutional neural networks J Wu National Key Lab for Novel Software Technology. Nanjing University. China, 2017	904	2017
Deep Label Distribution Learning with Label Ambiguity BB Gao, C Xing, CW Xie, J Wu, X Geng IEEE Transactions on Image Processing, 2017	511	2017
Probabilistic end-to-end noise correction for learning with noisy labels K Yi, J Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	507	2019
Mask-CNN: Localizing parts and selecting descriptors for fine-grained bird species categorization XS Wei, CW Xie, J Wu, C Shen Pattern Recognition 76, 704-714, 2018	494*	2018
Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval ZHZ Xiu-Shen Wei, Jian-Hao Luo, Jianxin Wu IEEE Transactions on Image Processing, 2017	491	2017
A scalable approach to activity recognition based on object use J Wu, A Osuntogun, T Choudhury, M Philipose, JM Rehg IEEE 11th International Conference on Computer Vision, 2007., 1-8, 2007	490	2007
Minimal gated unit for recurrent neural networks GB Zhou, J Wu, CL Zhang, ZH Zhou International Journal of Automation and Computing 13 (3), 226-234, 2016	396	2016
Fine-Grained Image Analysis with Deep Learning: A Survey XS Wei, YZ Song, O Mac Aodha, J Wu, Y Peng, J Tang, J Yang, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021	390*	2021
Fast asymmetric learning for cascade face detection J Wu, SC Brubaker, MD Mullin, JM Rehg Pattern Analysis and Machine Intelligence, IEEE Transactions on 30 (3), 369-382, 2008	362	2008
Actionformer: Localizing moments of actions with transformers CL Zhang, J Wu, Y Li European Conference on Computer Vision, 492-510, 2022	351	2022
Beyond the Euclidean distance: Creating effective visual codebooks using the histogram intersection kernel J Wu, JM Rehg Computer Vision, 2009 IEEE 12th International Conference on, 630-637, 2009	324	2009
Thinet: pruning cnn filters for a thinner net JH Luo, H Zhang, HY Zhou, CW Xie, J Wu, W Lin IEEE transactions on pattern analysis and machine intelligence 41 (10), 2525 …, 2018	281	2018
Face recognition with one training image per person J Wu, ZH Zhou Pattern Recognition Letters 23 (14), 1711-1719, 2002	281	2002
Autopruner: An end-to-end trainable filter pruning method for efficient deep model inference JH Luo, J Wu Pattern Recognition 107, 107461, 2020	238	2020
On the design of cascades of boosted ensembles for face detection SC Brubaker, J Wu, J Sun, MD Mullin, JM Rehg International Journal of Computer Vision 77 (1-3), 65-86, 2008	235	2008
Weakly Supervised Fine-Grained Categorization With Part-Based Image Representation Y Zhang, XS Wei, J Wu, J Cai, J Lu, VA Nguyen, MN Do IEEE Transactions on Image Processing 25 (4), 1713-1725, 2016	234*	2016

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