Stella X. Yu

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Jianbo ShiUniversity of PennsylvaniaVerified email at seas.upenn.edu
Jiayun (Peter) WangCaltech | UC BerkeleyVerified email at caltech.edu
Ziwei LiuAssistant Professor, Nanyang Technological UniversityVerified email at ntu.edu.sg
Zhongqi MiaoApplied Research Scientist - MicrosoftVerified email at microsoft.com
XuDong WangPhD Student of EECS, UC BerkeleyVerified email at eecs.berkeley.edu
Tsung-Wei KeNational Taiwan UniversityVerified email at csie.ntu.edu.tw
Michael (Miki) LustigProfessor of Electrical Engineering and Computer Science, UC BerkeleyVerified email at eecs.berkeley.edu
Dahua LinThe Chinese University of Hong KongVerified email at ie.cuhk.edu.hk
Michael MaireUniversity of ChicagoVerified email at uchicago.edu
Long LianUniversity of California, BerkeleyVerified email at berkeley.edu
Rudrasis ChakrabortyLawrence Livermore National LabVerified email at llnl.gov
Jyh-Jing HwangWaymo LLCVerified email at waymo.com
Xiaohang ZhanTencent AI LabVerified email at tencent.com
Boqing GongBoston University, GoogleVerified email at google.com
Jonathan I. TamirAssistant Professor of Electrical and Computer Engineering, The University of Texas at AustinVerified email at utexas.edu
Yunhui GuoUT DallasVerified email at utdallas.edu
Dr.-Ing. Sascha HornauerMINES ParistechVerified email at uni-oldenburg.de
Patrick VirtueCarnegie Mellon UniversityVerified email at cs.cmu.edu
Gedas BertasiusAssistant Professor, University of North Carolina at Chapel HillVerified email at cs.unc.edu
Yuanjun XiongAmazon Web ServicesVerified email at amazon.com

Stella X. Yu

Professor of EECS, University of Michigan

Verified email at umich.edu - Homepage

Computer Vision Robotics Embodied AI Developmental AI Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Unsupervised Feature Learning via Non-Parametric Instance Discrimination Z Wu, Y Xiong, SX Yu, D Lin Proceedings of the IEEE conference on computer vision and pattern …, 2018	4170	2018
Multiclass Spectral Clustering SX Yu, J Shi Proceedings Ninth IEEE International Conference on Computer Vision 2, 313-319, 2003	1330	2003
Large-Scale Long-Tailed Recognition in An Open World Z Liu, Z Miao, X Zhan, J Wang, B Gong, SX Yu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	1292	2019
Long-Tailed Recognition by Routing Diverse Distribution-Aware Experts X Wang, L Lian, Z Miao, Z Liu, SX Yu International Conference on Learning Representations, 2021	395	2021
Segmentation Given Partial Grouping Constraints SX Yu, J Shi IEEE Transactions on Pattern Analysis and Machine Intelligence 26 (2), 173-183, 2004	347	2004
Adaptive Affinity Fields for Semantic Segmentation TW Ke, JJ Hwang, Z Liu, SX Yu Proceedings of the European conference on computer vision (ECCV), 587-602, 2018	238	2018
Orthogonal Convolutional Neural Networks J Wang, Y Chen, R Chakraborty, SX Yu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	227	2020
Better than Real: Complex-Valued Neural Nets for MRI Fingerprinting P Virtue, SX Yu, M Lustig 2017 IEEE international conference on image processing (ICIP), 3953-3957, 2017	211	2017
Learning Non-Lambertian Object Intrinsics across ShapeNet Categories J Shi, Y Dong, H Su, SX Yu Proceedings of the IEEE conference on computer vision and pattern …, 2017	210	2017
Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression T Narihira, M Maire, SX Yu Proceedings of the IEEE international conference on computer vision, 2992-2992, 2015	209	2015
FlowWeb: Joint Image Set Alignment by Weaving Consistent, Pixel-wise Correspondences T Zhou, Y Jae Lee, SX Yu, AA Efros Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015	182	2015
Concurrent Object Recognition and Segmentation by Graph Partitioning SX Yu, R Gross, J Shi Neural information processing systems 1, 2002	178*	2002
Convolutional Random Walk Networks for Semantic Image Segmentation G Bertasius, L Torresani, SX Yu, J Shi Proceedings of the IEEE conference on computer vision and pattern …, 2017	172	2017
Improving Generalization via Scalable Neighborhood Component Analysis Z Wu, AA Efros, SX Yu Proceedings of the European Conference on Computer Vision (ECCV), 685-701, 2018	161	2018
Cut and Learn for Unsupervised Object Detection and Instance Segmentation X Wang, R Girdhar, SX Yu, I Misra arXiv preprint arXiv:2301.11320, 2023	151	2023
Open Compound Domain Adaptation Z Liu, Z Miao, X Pan, X Zhan, D Lin, SX Yu, B Gong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	150	2020
SegSort: Segmentation by Discriminative Sorting of Segments JJ Hwang, SX Yu, J Shi, MD Collins, TJ Yang, X Zhang, LC Chen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	147	2019
Linear Scale and Rotation Invariant Matching H Jiang, SX Yu, DR Martin IEEE transactions on pattern analysis and machine intelligence 33 (7), 1339-1355, 2010	139*	2010
Insights and Approaches Using Deep Learning to Classify Wildlife Z Miao, KM Gaynor, J Wang, Z Liu, O Muellerklein, MS Norouzzadeh, ... Scientific reports 9 (1), 1-9, 2019	135	2019
Grouping with Bias SX Yu, J Shi Advances in Neural Information Processing Systems, 1327-1334, 2001	135*	2001

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