I am a PhD student in the Department of Computer Science at UT Austin, advised by Dr. Kristen Grauman. I am broadly interested in Computer Vision and its applications to robotics.

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.nagarajan[at]utexas.edu
CV: Link

News & Activities


  • Oct 20: Our work on Differentiable constraints for causal structure discovery is up on arxiv. [paper]
  • Sep 20: Our work on Exploration for Interaction is accepted at NeurIPS 2020. [paper] [project].
  • Aug 20: Our work on Exploration for Interaction is up on arxiv. [paper] [project].
  • Jul 20: Invited talk at Stanford: “Environment-centric reasoning for embodied perception” [slides]. Thanks Juan Carlos Niebles for the invitation!
  • Mar 20: Our work on Topological environment graphs is accepted at CVPR 2020. [paper] [project]
  • Jul 19: Our work on Interaction Hotspots is accepted at ICCV 2019. [paper] [project]
  • Jun 19: Presented our work on Interaction Hotspots at the EPIC workshop at CVPR. EPIC@CVPR19
  • Jul 18: Our work on Attributes as Operators is accepted at ECCV 2018. [paper] [code]
  • May 18: Interning at Facebook AI Research this summer
  • 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


Differentiable Causal Discovery Under Unmeasured Confounding
Rohit Bhattacharya, Tushar Nagarajan, Daniel Malinsky, Ilya Shpitser
Arxiv 2020
[arxiv]
Learning Affordance Landscapes for Interaction Exploration in 3D Environments
Tushar Nagarajan, Kristen Grauman
Proceedings of the Conference on Neural Information Processing Systems (NeurIPS), Dec 2020. (Spotlight)
[paper] [project] [spotlight talk]
EGO-TOPO: Environment Affordances from Egocentric Video
Tushar Nagarajan, Yanghao Li, Christoph Feichtenhofer, Kristen Grauman
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, June 2020. (Oral)
[paper] [project] [talk] [code]
Grounded Human-Object Interaction Hotspots from Video
Tushar Nagarajan, Christoph Feichtenhofer, Kristen Grauman
Proceedings of the International Conference on Computer Vision (ICCV), Seoul, October 2019.
[paper] [project] [code]
Attributes as Operators
Tushar Nagarajan, Kristen Grauman
Proceedings of the European Conference on Computer Vision (ECCV), Munich, September 2018.
[paper] [code]
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)
[paper] [code] [talk]
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]