Stella X. Yu - Concepedia

Author

Stella X. Yu

University of California, Berkeley ORCID

Also Known As

Chen, Yubei, S X Yu, S YU, S Yu, S. X. Yu, S. Yu, S.X. Yu, Senshen YU, Shuntai Yu, Siqi Yu

274

Publications

10.2K

Citations

H-Index

134

Concepts

All Affiliations

University of California, Berkeley International Computer Science Institute Boston College Berkeley College University of Michigan

About

Stella X. Yu is an author at University of California, Berkeley specializing in engineering, machine vision, and computer vision.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	36	72	8.3K
2	Natural Sciences	10	10	543
3	Health Sciences	6	6	230
4	Medicine	3	3	77
5	Social Sciences	3	3	67

Stella X. Yu

Publications

9.3K

Citations

H-Index

Page 1

	Year	Citations
Unsupervised Feature Learning via Non-parametric Instance Discrimination Zhirong Wu, Yuanjun Xiong, Stella X. Yu, Few-shot LearningNeural Net ClassifiersMultiple Instance LearningEngineeringMachine Learning	2018	3.5K
Large-Scale Long-Tailed Recognition in an Open World Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Artificial IntelligenceFew-shot LearningMultiple Instance LearningEngineeringMachine Learning	2019	1.1K
Segmentation given partial grouping constraints Stella X. Yu, Jianbo Shi IEEE Transactions on Pattern Analysis and Machine Intelligence Mathematical ProgrammingScene AnalysisPartial Grouping ConstraintsMachine LearningEngineering	2004	254
Learning Non-Lambertian Object Intrinsics Across ShapeNet Categories Jian Shi, Yue Dong, Hao Su, Specular HighlightsGeometric LearningEngineeringMachine LearningObject Categorization	2017	184
Orthogonal Convolutional Neural Networks Jiayun Wang, Yubei Chen, Rudrasis Chakraborty, Convolutional Neural NetworkEngineeringMachine LearningAutoencodersFilter Orthogonality	2020	173
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination Zhirong Wu, Yuanjun Xiong, Stella X. Yu, arXiv (Cornell University) Few-shot LearningNeural Net ClassifiersConvolutional Neural NetworkEngineeringMachine Learning	2018	172
FlowWeb: Joint image set alignment by weaving consistent, pixel-wise correspondences Tinghui Zhou, Yong Jae Lee, Stella X. Yu, EngineeringPixel-wise CorrespondenceImage AnalysisData SciencePattern Recognition	2015	171
Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression Takuya Narihira, Michael Maire, Stella X. Yu Reasonable DecompositionsGeometric LearningConvolutional Neural NetworkMachine VisionImage Analysis	2015	171
Cut and Learn for Unsupervised Object Detection and Instance Segmentation Xudong Wang, Rohit Girdhar, Stella X. Yu,	2023	157
Convolutional Random Walk Networks for Semantic Image Segmentation Gedas Bertasius, Lorenzo Torresani, Stella X. Yu, Geometric LearningConvolutional Neural NetworkEngineeringMachine LearningImage Sequence Analysis	2017	142

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