Li Fuxin (Preferred)
, Fuxin Li
Li Fuxin
Oregon State University
Names
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Emails
Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.
****@gmail.com
, ****@eecs.oregonstate.edu
, ****@oregonstate.edu
, ****@oregonstate.edu
, ****@apple.com
Personal Links
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Education & Career History
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Associate Professor
Oregon State University (oregonstate.edu)
2021 – Present
Researcher
Apple (apple.com)
2021 – Present
Assistant Professor
Oregon State University (oregonstate.edu)
2015 – 2021
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
Coauthor
Wei Xu
****@horizon.ai
2019 – 2022
Postdoc Advisee
Chanho Kim
****@gmail.com
2014 – 2022
Coauthor
Ashish Kapoor
****@microsoft.com
2020 – 2021
Coauthor
Yong Liu
****@iipc.zju.edu.cn
2020 – 2021
Coauthor
Dimitris Samaras
****@cs.sunysb.edu
2019 – 2021
Coauthor
Mei Chen
****@microsoft.com
2019 – 2021
Coauthor
Gaurav Mittal
****@microsoft.com
2019 – 2021
Coauthor
Ye Yu
****@microsoft.com
2019 – 2021
Coauthor
Yusu Wang
****@ucsd.edu
2019 – 2021
Coauthor
Qinxun Bai
****@gmail.com
2019 – 2021
Coauthor
Chao Chen
****@gmail.com
2018 – 2021
PhD Advisee
Neale Ratzlaff
****@oregonstate.edu
2016 – 2021
PhD Advisee
Robert DeBortoli
****@gmail.com
2016 – 2021
PhD Advisee
Xingyi Li
****@oregonstate.edu
2016 – 2021
Coauthor
Liefeng Bo
****@gmail.com
2018 – 2019
Postdoc Advisee
Zhongang Qi
****@gmail.com
2016 – 2019
Coauthor
Henrik Christensen
****@ucsd.edu
2016 – 2018
Coauthor
Charles Isbell
****@cc.gatech.edu
2016 – 2018
Postdoc Advisor
James Rehg
****@gatech.edu
2012 – 2015
Postdoc Advisor
Guy Lebanon
****@gmail.com
2011 – 2012
Postdoc Advisor
Cristian Sminchisescu
****@math.lth.se
2009 – 2010
Expertise
For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing
Deep Learning
Present
Semantic Segmentation
Present
Video Segmentation
Present
Explainable deep learning
Present
Uncertainty estimation
Present
Multi-target tracking
Present
Point cloud networks
Present
Instance Segmentation
Present
Bayesian Deep Learning
Present