Sagnik Majumder

University of Texas, Austin

Names

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Sagnik Majumder (Preferred)

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.

****@cs.utexas.edu
,
****@gmail.com
,
****@ccc.cs.uni-frankfurt.de

Education & Career History

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PhD student
University of Texas, Austin (utexas.edu)
20212025
 
MS student
University of Texas, Austin (utexas.edu)
20192021
 
Research assistant
Goethe University (uni-frankfurt.de)
20182019
 
Undergrad student
BITS Pilani, BITS Pilani (pilani.bits-pilani.ac.in)
20142018
 

Advisors, Relations & Conflicts

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

PhD Advisor
Kristen Grauman
****@cs.utexas.edu
20202025
 
Coauthor
Changan Chen
****@cs.utexas.edu
20202025
 
Coauthor
Ziad Al-Halah
****@gmail.com
20202025
 
Coauthor
Santhosh Kumar Ramakrishnan
****@cs.utexas.edu
20202025
 
Coauthor
Ruohan Gao
****@cs.stanford.edu
20202021
 
Coauthor
Greg Durrett
****@cs.utexas.edu
20192021
 
Coauthor
Chinmoy Samant
****@cs.utexas.edu
20192021
 
Coauthor
Visvanathan Ramesh
****@em.uni-frankfurt.de
20172021
 
Coauthor
Martin Mundt
****@em.uni-frankfurt.de
20172021
 
Coauthor
Iuliia Pliushch
****@em.uni-frankfurt.de
20172021
 
Coauthor
Rishabh Bhardwaj
****@pilani.bits-pilani.ac.in
20172020
 
Coauthor
Christoph von der Malsburg
****@fias.uni-frankfurt.de
20172019
 
Coauthor
Sreenivas Narasimha Murali
****@fias.uni-frankfurt.de
20172019
 
Coauthor
Panagiotis Panetsos
****@egnatia.gr
20172019
 
Coauthor
Surekha Bhanot
****@pilani.bits-pilani.ac.in
20172017
 
Coauthor
Aashish Richhariya
****@pilani.bits-pilani.ac.in
20172017
 

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

Audio-visual learning
2019Present
 
Multi-modal scene understanding
2019Present
 
Egocentric perception
2019Present
 
Active learning
2019Present