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Computer Science

D-Index
47
Citations
12465
World Ranking
6361
National Ranking
2841

Overview

Stella X. Yu is affiliated with the University of Michigan-Ann Arbor in the United States and conducts research primarily at the intersection of computer science and medicine. Their work spans a range of topics within computer vision, machine learning, and biomedical imaging.

The main fields of study for Stella X. Yu include:

  • Computer Science
  • Medicine

Their research is focused on several subfields, notably:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Biomedical Engineering
  • Biophysics

Stella X. Yu's work covers a spectrum of research topics, which include:

  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Vision and Imaging
  • Multimodal Machine Learning Applications
  • Ocular Surface and Contact Lens

Their publication record includes multiple recent papers demonstrating applications of machine learning and computer vision in diverse areas:

  • Machine learning-based regional scale intelligent modeling of building information for natural hazard risk management (2020), published in Automation in Construction
  • Debiased Learning from Naturally Imbalanced Pseudo-Labels (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Rapid visual screening of soft-story buildings from street view images using deep learning classification (2020), published in Earthquake Engineering and Engineering Vibration
  • Quantifying Meibomian Gland Morphology Using Artificial Intelligence (2021), published in Optometry and Vision Science
  • Self-Supervised Feature Learning and Phenotyping for Assessing Age-Related Macular Degeneration Using Retinal Fundus Images (2021), published in Ophthalmology Retina

Frequent co-authors collaborating with Stella X. Yu include:

  • Xudong Wang
  • Jiayun Wang
  • Yunhui Guo
  • Zhihang Ren
  • Michael Lustig

Their publications frequently appear in the following venues:

  • arXiv (Cornell University)
  • Journal of Vision
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition
  • Nature Machine Intelligence

Best Publications

  • Unsupervised Feature Learning via Non-parametric Instance Discrimination

    Zhirong Wu;Yuanjun Xiong;Stella X. Yu;Dahua Lin

  • Large-Scale Long-Tailed Recognition in an Open World

    Ziwei Liu;Zhongqi Miao;Xiaohang Zhan;Jiayun Wang

  • Orthogonal Convolutional Neural Networks

    Jiayun Wang;Yubei Chen;Rudrasis Chakraborty;Stella X. Yu

  • Segmentation given partial grouping constraints

    S.X. Yu;Jianbo Shi

  • Adaptive Affinity Fields for Semantic Segmentation

    Tsung-Wei Ke;Jyh-Jing Hwang;Ziwei Liu;Stella X. Yu

  • Learning Non-Lambertian Object Intrinsics Across ShapeNet Categories

    Jian Shi;Yue Dong;Hao Su;Stella X. Yu

  • Long-tailed Recognition by Routing Diverse Distribution-Aware Experts

    Xudong Wang;Long Lian;Zhongqi Miao;Ziwei Liu

  • Cut and Learn for Unsupervised Object Detection and Instance Segmentation

    Unknown

  • Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination

    Zhirong Wu;Yuanjun Xiong;Stella Yu;Dahua Lin

  • Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression

    Takuya Narihira;Michael Maire;Stella X. Yu

  • FlowWeb: Joint image set alignment by weaving consistent, pixel-wise correspondences

    Tinghui Zhou;Yong Jae Lee;Stella X. Yu;Alexei A. Efros

  • Better than real: Complex-valued neural nets for MRI fingerprinting

    Patrick Virtue;Stella X. Yu;Michael Lustig

  • Convolutional Random Walk Networks for Semantic Image Segmentation

    Gedas Bertasius;Lorenzo Torresani;Stella X. Yu;Jianbo Shi

  • Concurrent Object Recognition and Segmentation by Graph Partitioning

    Stella X. Yu;Ralph Gross;Jianbo Shi

  • Improving Generalization via Scalable Neighborhood Component Analysis

    Zhirong Wu;Alexei A. Efros;Stella X. Yu

  • Adaptive Affinity Field for Semantic Segmentation.

    Tsung-Wei Ke;Jyh-Jing Hwang;Ziwei Liu;Stella X. Yu

  • SegSort: Segmentation by Discriminative Sorting of Segments

    Jyh-Jing Hwang;Stella Yu;Jianbo Shi;Maxwell Collins

  • Insights and approaches using deep learning to classify wildlife.

    Zhongqi Miao;Kaitlyn M. Gaynor;Jiayun Wang;Ziwei Liu

  • Object-specific figure-ground segregation

    S.U. Yu;Jianbo Shi

  • Debiased Learning from Naturally Imbalanced Pseudo-Labels

    Unknown

  • Grouping with Bias

    Stella X. Yu;Jianbo Shi

  • Open Compound Domain Adaptation

    Ziwei Liu;Zhongqi Miao;Xingang Pan;Xiaohang Zhan

Frequent Co-Authors

Jianbo Shi
Jianbo Shi University of Pennsylvania
Ziwei Liu
Ziwei Liu Nanyang Technological University
Kincho H. Law
Kincho H. Law Stanford University
Michael Lustig
Michael Lustig University of California, Berkeley
Dahua Lin
Dahua Lin Chinese University of Hong Kong
Boqing Gong
Boqing Gong Google (United States)
David Whitney
David Whitney University of California, Berkeley
Pietro Perona
Pietro Perona California Institute of Technology
Alexei A. Efros
Alexei A. Efros University of California, Berkeley
Kate Saenko
Kate Saenko Boston University

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