Junchi Yan

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Hongyuan ZhaThe Chinese University of Hong Kong, ShenzhenE-mail confirmado em cuhk.edu.cn
Xiaokang YangFIEEE, Shanghai Jiao Tong UniversityE-mail confirmado em sjtu.edu.cn
Stephen ChuResearch Staff Member, IBM T. J. Watson Research CenterE-mail confirmado em us.ibm.com
Changsheng Li 李长升Professor, Beijing Institute of TechnologyE-mail confirmado em uestc.edu.cn
Xiangfeng Wang 王祥丰Multi-agent Artificial Intelligence Laboratory, East China Normal UniversityE-mail confirmado em sei.ecnu.edu.cn
Runzhong WangPhD student, Shanghai Jiao Tong UniversityE-mail confirmado em sjtu.edu.cn
Shuai Xiao 肖帅Alibaba GroupE-mail confirmado em alibaba-inc.com
Cheng Deng （邓成）School of Electronic Engineering, Xi'an 710071, Xidian UniversityE-mail confirmado em mail.xidian.edu.cn
Wei LiuTencentE-mail confirmado em ee.columbia.edu
Dongsheng LiMicrosoft Research AsiaE-mail confirmado em microsoft.com
Weiyao LinProfessor, Shanghai Jiao Tong UniversityE-mail confirmado em sjtu.edu.cn
Yin LiAssistant Professor, University of Wisconsin-MadisonE-mail confirmado em wisc.edu
Hongteng Xu 许洪腾Associate Professor (Tenure-Track), Renmin University of ChinaE-mail confirmado em ruc.edu.cn
Xiaoyong PanShanghai Jiao Tong UniversityE-mail confirmado em sjtu.edu.cn
Le SongBiomap, Mohamed bin Zayed University of Artificial IntelligenceE-mail confirmado em biomap.com
Bo JinSchool of Computer Science and Technology, East China Normal UniversityE-mail confirmado em cs.ecnu.edu.cn
Tianshu YuThe Chinese University of Hong Kong (Shenzhen)E-mail confirmado em cuhk.edu.cn
Mehrdad FarajtabarGoogle DeepMindE-mail confirmado em google.com
Chao ChenShanghai Jiao Tong UniversityE-mail confirmado em sjtu.edu.cn
Qitian WuShanghai Jiao Tong UniversityE-mail confirmado em sjtu.edu.cn

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Junchi Yan

Shanghai Jiao Tong University, Previously IBM Research

E-mail confirmado em cs.sjtu.edu.cn - Página inicial

Machine learning Graph algorithms Combinatorial optimization Point proceses


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
SCRDet: Towards more robust detection for small, cluttered and rotated objects X Yang, J Yang, J Yan, Y Zhang, T Zhang, Z Guo, X Sun, K Fu ICCV 2019, 2019	372	2019
R3Det: Refined single-stage detector with feature refinement for rotating object X Yang, J Yan, Z Feng, T He AAAI 2021, 2021	279	2021
Image matching from handcrafted to deep features: A survey J Ma, X Jiang, A Fan, J Jiang, J Yan IJCV 2021, 2021	268	2021
Unsupervised deep learning for optical flow estimation Z Ren, J Yan, B Ni, B Liu, X Yang, H Zha AAAI 2017, 2017	265	2017
Visual saliency detection via sparsity pursuit J Yan, M Zhu, H Liu, Y Liu IEEE Signal Processing Letters 17 (8), 739-742, 2010	203	2010
Modeling the intensity function of point process via recurrent neural networks S Xiao, J Yan, X Yang, H Zha, S Chu AAAI 2017, 2017	200	2017
Person re-identification with correspondence structure learning Y Shen, W Lin, J Yan, M Xu, J Wu, J Wang ICCV 2015, 2015	193	2015
Deep spectral clustering using dual autoencoder network X Yang, C Deng, F Zheng, J Yan, W Liu CVPR 2019, 2019	170	2019
Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks X Pan, P Rijnbeek, J Yan, HB Shen BMC genomics 2018, 2018	170	2018
Multi-graph matching via affinity optimization with graduated consistency regularization J Yan, M Cho, H Zha, X Yang, SM Chu IEEE TPAMI 2016, 2016	161	2016
Arbitrary-oriented object detection with circular smooth label X Yang, J Yan ECCV 2020, 2020	143	2020
Wasserstein learning of deep generative point process models S Xiao, M Farajtabar, X Ye, J Yan, L Song, H Zha NIPS 2017, 2017	140	2017
A short survey of recent advances in graph matching J Yan, XC Yin, W Lin, C Deng, H Zha, X Yang ICMR 2016, 2016	135	2016
Learning combinatorial embedding networks for deep graph matching R Wang, J Yan, X Yang ICCV 2019, 2019	127	2019
Learning modulated loss for rotated object detection W Qian, X Yang, S Peng, Y Guo, J Yan AAAI 2021, 2021	118	2021
Consistency-driven alternating optimization for multigraph matching: A unified approach J Yan, J Wang, H Zha, X Yang, S Chu IEEE TIP 2015, 2015	106	2015
IPMiner: hidden ncRNA-protein interaction sequential pattern mining with stacked autoencoder for accurate computational prediction X Pan, YX Fan, J Yan, HB Shen BMC genomics 17 (1), 1-14, 2016	101	2016
Personalized key frame recommendation X Chen, Y Zhang, Q Ai, H Xu, J Yan, Z Qin SIGIR 2017, 2017	100	2017
Visual saliency based on conditional entropy Y Li, Y Zhou, J Yan, Z Niu, J Yang ACCV 2009, 2009	99	2009
Learning time series associated event sequences with recurrent point process networks S Xiao, J Yan, M Farajtabar, L Song, X Yang, H Zha IEEE TNNLS 2019, 2019	92*	2019

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