6730, Medical Science Center
yin.li at wisc.edu
Computer Vision, Mobile Health
Yiwu Zhong (CS Ph.D. student)
Zixuan Huang (CS Master student)
Fangzhou Mu (CS Master student)
To work with me:
Students: See my note.
Postdocs: Email me with your CV.
BMI 826 / CS 838
Learning based Methods in Computer Vision
Jan 2019: One paper accepted to IEEE TIP.
Nov 2018: I am serving as area chairs for CVPR'19 and ICCV'19.
Oct 2018: One paper accepted to IEEE TIP.
Sep 2018: One paper accepted to NeurIPS.
Aug 2018: Joined UW-Madison as an assistant professor.
Jul 2018: Two papers accepted to ECCV.
Jul 2018: One paper accepted to ISER.
Apr 2018: Talk "Attention and Activities in First Person Vision" in ML Lunch seminar at CMU.
Mar 2018: One paper accepted to CVPR as an oral presentation.
Jan 2018: One paper accepted to IEEE TPAMI.
Jan 2018: Talk at Nanjing University.
Jan 2018: Talk at Shanghai Jiao Tong University.
Yin Li, Abhinav Gupta
Beyond Grids: Learning Graph Representations for Visual Recognition [pdf]
Yin Li, Miao Liu, James M. Rehg
In the Eye of Beholder: Joint Learning of Gaze and Actions in First Person Vision [pdf]
Keizo Kato, Yin Li, Abhinav Gupta
Compositional Learning of Human Object Interactions [pdf]
Liwei Wang, Yin Li, Jing Huang, Svetlana Lazebnik
Learning Two-branch Neural Networks for Image-text Matching Tasks [arXiv]
Junchi Yan, Changsheng Li, Yin Li, Guitao Cao
Adaptive Discrete Hypergraph Matching [link]
Sarah R. Edmunds, Agata Rozga, Yin Li, Elizabeth A. Karp, Lisa V. Ibanez, James M. Rehg, Wendy L. Stone
Using a Point-of-View Camera to Measure Eye Gaze in Young Children with Autism Spectrum Disorder During Naturalistic Social Interactions: A Pilot Study [link]
Javier Hernandez, Yin Li, James M. Rehg, Rosalind W. Picard
BioGlass: Physiological Parameter Estimation Using a Head-mounted Wearable Device
[pdf] [project] (Best Student Paper Award, 1/120)
Junchi Yan, Yin Li, Wei Liu, Hongyuan Zha, Xiaokang Yang
Graduated Consistency-Regularized Optimization for Multi-Graph Matching [pdf]
Yin Li, Junchi Yan, Yue Zhou and Jie Yang
Optimum Subspace Learning and Error Correction for Tensors [link]