Ming-Yu Liu

NVIDIA

Names

How do you usually write your name as author of a paper? Also add any other names you have authored papers under.

Ming-Yu Liu (Preferred)
,
Ming-yu Liu

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
,
****@umiacs.umd.edu
,
****@nvidia.com
,
****@gmail.com

Education & Career History

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Researcher
NVIDIA (nvidia.com)
20162020
 
Researcher
Mitsubishi Electric Research Labs (merl.com)
20122016
 
PhD student
University of Maryland, College Park (umd.edu)
20062012
 

Advisors, Relations & Conflicts

Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.

Coauthor
Zhiding Yu
****@andrew.cmu.edu
2017Present
 
Coauthor
Yuichi Taguchi
****@merl.com
2009Present
 
Coauthor
Martin Kampel
****@tuwien.ac.at
20112016
 
Coauthor
Arvind Raghunathan
****@merl.com
20112014
 
Coauthor
Marc Pollefeys
****@inf.ethz.ch
20112014
 
Coauthor
Arun Mallya
****@illinois.edu
20112014
 
Coauthor
Oncel Tuzel
****@gmail.com
20112014
 
Coauthor
Abhishek Sharma
****@cs.umd.edu
20112014
 
Coauthor
Branislav Micusik
****@ait.ac.at
20112014
 
Coauthor
Srikumar Ramalingam
****@merl.com
20112014
 
Coauthor
Rama Chellappa
****@umiacs.umd.edu
20112014
 
Coauthor
Arun Mallya
****@gmail.com
20112014
 
Coauthor
Ashok Veeraraghavan
****@rice.edu
20112014
 
Coauthor
Oncel Tuzel
****@merl.com
20112014
 
Coauthor
Tim Marks
****@merl.com
20112014
 
Coauthor
Ming-yu Liu
****@umiacs.umd.edu
20122013
 
Coauthor
Ming-yu Liu
****@gmail.com
20122013
 
PhD Advisor
Rama Chellappa
****@umiacs.umd.edu
20062012
 

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 generative model
20142030
 
Computer vision
20062030