I am a PhD student in the Department of Computer Science at UT Austin, working with Dr. Kristen Grauman. I am broadly interested in Computer Vision and NLP, and the intersection between the two fields.

Before coming to UT, I was an intern at MALL Lab, IISc, working with Dr. Partha Talukdar. I completed my B.E. in Computer Science from BITS Goa.

Contact: tushar[at]cs.utexas.edu
CV

News & Activities


  • Mar 18: Our work on Dynamic Inference Paths in ResNets is accepted at CVPR 2018. [paper] [code]
  • Dec 17: Our work on Computational Antimicrobial Peptide Design is accepted at JBC 2017. [paper] [code]
  • Aug 17: Completed a wonderful internship at IBM Research. Thanks Bhatta and Rogerio!
  • Jul 17: Sharmistha presents our work on Coupling Constraints for Relation Extraction at ACL 2017 (workshop). [paper]
  • May 17: Started an internship at IBM Research’s Vision & Multimedia group, working with Bishwaranjan Bhattacharjee and Dr. Rogerio Feris
  • Jan 17: Joined Dr. Kristen Grauman’s vision group as a Research Assistant.
  • Aug 16: Joined UT Austin as a graduate student.
  • July 16: Completed a wonderful internship at MALL Lab, thanks Partha!

Publications


BlockDrop: Dynamic Inference Paths in Residual Networks
Zuxuan Wu*, Tushar Nagarajan*, Abhishek Kumar, Steven Rennie, Larry S. Davis, Kristen Grauman, Rogerio Feris
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, June 2018. (Spotlight) (* equal contribution)
[arXiv] [code]
CANDiS: Coupled & Attention-Driven Neural Distant Supervision
Tushar Nagarajan, Sharmistha Jat, Partha Talukdar
ACL 2017 (Workshop), Vancouver, Canada, 2017
[arXiv]
Computational antimicrobial peptide design and evaluation against multidrug-resistant clinical isolates of bacteria
Deepesh Nagarajan, Tushar Nagarajan, Natasha Roy, Omkar Kulkarni, Sathyabaarathi Ravichandran, Madhulika Mishra, Dipshikha Chakravortty and Nagasuma Chandra
Journal of Biological Chemistry (JBC), 2017.
[paper] [code]