Stella X. Yu

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Coauteurs

Jianbo ShiUniversity of PennsylvaniaAdresse e-mail validée de seas.upenn.edu
Jiayun (Peter) WangCaltech | UC BerkeleyAdresse e-mail validée de caltech.edu
Ziwei LiuAssistant Professor, Nanyang Technological UniversityAdresse e-mail validée de ntu.edu.sg
Zhongqi MiaoAI for Good Lab - MicrosoftAdresse e-mail validée de microsoft.com
XuDong WangPhD Student of EECS, UC BerkeleyAdresse e-mail validée de cs.berkeley.edu
Tsung-Wei KeNational Taiwan UniversityAdresse e-mail validée de csie.ntu.edu.tw
Michael (Miki) LustigProfessor of Electrical Engineering and Computer Science, UC BerkeleyAdresse e-mail validée de eecs.berkeley.edu
Dahua LinThe Chinese University of Hong KongAdresse e-mail validée de ie.cuhk.edu.hk
Michael MaireUniversity of ChicagoAdresse e-mail validée de uchicago.edu
Long LianUniversity of California, BerkeleyAdresse e-mail validée de berkeley.edu
Rudrasis ChakrabortyLawrence Livermore National LabAdresse e-mail validée de llnl.gov
Jyh-Jing HwangWaymo LLCAdresse e-mail validée de waymo.com
Xiaohang ZhanTencent AI LabAdresse e-mail validée de tencent.com
Boqing GongBoston University, GoogleAdresse e-mail validée de google.com
Yunhui GuoUT DallasAdresse e-mail validée de utdallas.edu
Jonathan I. TamirAssistant Professor of Electrical and Computer Engineering, The University of Texas at AustinAdresse e-mail validée de utexas.edu
Dr.-Ing. Sascha HornauerMINES ParistechAdresse e-mail validée de uni-oldenburg.de
Yubei ChenUC Davis | Aizip.aiAdresse e-mail validée de ucdavis.edu
Patrick VirtueCarnegie Mellon UniversityAdresse e-mail validée de cs.cmu.edu
Gedas BertasiusAssistant Professor, University of North Carolina at Chapel HillAdresse e-mail validée de cs.unc.edu

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Stella X. Yu

Professor of EECS, University of Michigan

Adresse e-mail validée de umich.edu - Page d'accueil

Computer Vision Robotics Embodied AI Developmental AI Machine Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	4314	2018
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	1346	2019
Multiclass Spectral Clustering SX Yu, J Shi Proceedings Ninth IEEE International Conference on Computer Vision 2, 313-319, 2003	1341	2003
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	422	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	239	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	237	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	215	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	213	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	210	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	173	2017
Cut and Learn for Unsupervised Object Detection and Instance Segmentation X Wang, R Girdhar, SX Yu, I Misra arXiv preprint arXiv:2301.11320, 2023	169	2023
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
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	152	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	148	2019
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	142	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
Grouping with Bias SX Yu, J Shi Advances in Neural Information Processing Systems, 1327-1334, 2001	136*	2001

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