I am a research scientist at FAIR, Meta. I graduated with a PhD in Computer Science from UT Austin, advised by Dr. Kristen Grauman. My PhD research was at the intersection of video understanding and embodied AI.

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@utexas.edu | tusharn@meta.com
CV: Link

Publications

	VITED: Video Temporal Evidence Distillation Yujie Lu, Yale Song, Lorenzo Torresani, William Wang, Tushar Nagarajan CVPR 2025 [paper]
	BIMBA: Selective-Scan Compression for Long-Range Video Question Answering Md Mohaiminul Islam, Tushar Nagarajan, Huiyu Wang, Gedas Bertasius, Lorenzo Torresani CVPR 2025 [paper]
	Which Viewpoint Shows it Best? Language for Weakly Supervising View Selection in Multi-view Instructional Videos Sagnik Majumder, Tushar Nagarajan, Ziad Al-Halah, Reina Pradhan, Kristen Grauman CVPR 2025 [paper]
	ExpertAF: Expert Actionable Feedback from Video Kumar Ashutosh, Tushar Nagarajan, Georgios Pavlakos, Kris Kitani, Kristen Grauman CVPR 2025 [paper]
	VEDIT: Latent Prediction Architecture For Procedural Video Representation Learning Han Lin, Tushar Nagarajan, Nicolas Ballas, Mido Assran, Mojtaba Komeili, Mohit Bansal, Koustuv Sinha ICLR 2025 [paper]
	User-in-the-loop Evaluation of Multimodal LLMs for Activity Assistance Mrinal Verghese, Brian Chen, Hamid Eghbalzadeh, Tushar Nagarajan, Ruta Desai WACV 2025 (Oral) [paper]
	AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model Seungwhan Moon, Andrea Madotto, Zhaojiang Lin, Tushar Nagarajan, Matt Smith, Shashank Jain, Chun-Fu Yeh, Prakash Murugesan, Peyman Heidari, Yue Liu, Kavya Srinet, Babak Damavandi, Anuj Kumar EMNLP 2024 (Industry Track) (* equal contribution) [paper]
	AMEGO: Active Memory from long EGOcentric videos Gabriele Goletto, Tushar Nagarajan, Giuseppe Averta, Dima Damen ECCV 2024 [paper] [project]
	Propose, Assess, Search: Harnessing LLMs for Goal-Oriented Planning in Instructional Videos Md Mohaiminul Islam, Tushar Nagarajan, Huiyu Wang, Fu-Jen Chu, Kris Kitani, Gedas Bertasius, Xitong Yang ECCV 2024 (Oral) [paper] [project]
	Step Differences in Instructional Video Tushar Nagarajan, Lorenzo Torresani CVPR 2024 [paper] [data/code]
	Detours for Navigating Instructional Videos Kumar Ashutosh, Zihui Xue, Tushar Nagarajan, Kristen Grauman CVPR 2024 (Highlight) [paper] [project]
	Video ReCap: Recursive Captioning of Hour-Long Videos Md Mohaiminul Islam, Ngan Ho, Xitong Yang, Tushar Nagarajan, Lorenzo Torresani, Gedas Bertasius CVPR 2024 [paper] [code]
	Ego-Exo4D: Understanding Skilled Human Activity from First-and Third-Person Perspectives Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Tushar Nagarajan, et al. CVPR 2024 (Oral) [paper] [project]*
	HT-Step: Aligning Instructional Articles with How-To Videos Triantafyllos Afouras, Effrosyni Mavroudi, Tushar Nagarajan, Huiyu Wang, Lorenzo Torresani NeurIPS 2023 [paper] [data/code]
	Ego4D Goal-Step: Toward Hierarchical Understanding of Procedural Activities Yale Song, Eugene Byrne, Tushar Nagarajan, Huiyu Wang, Miguel Martin, Lorenzo Torresani NeurIPS 2023 [paper] [code]
	EgoDistill: Egocentric Head Motion Distillation for Efficient Video Understanding Shuhan Tan, Tushar Nagarajan, Kristen Grauman NeurIPS 2023 [paper] [project]
	EgoEnv: Human-centric environment representations from egocentric video Tushar Nagarajan, Santhosh K. Ramakrishnan, Ruta Desai, James Hillis, Kristen Grauman NeurIPS 2023 (Oral) [paper] [project] [code]
	Ego4d: Around the world in 3,000 hours of egocentric video Kristen Grauman, Andrew Westbury, Tushar Nagarajan, et al. CVPR 2022 (Oral) TPAMI 2023 Invited article: Best Papers of CVPR [paper] [project]*
	Environment Predictive Coding for Visual Navigation Santhosh K. Ramakrishnan, Tushar Nagarajan, Ziad Al-Halah, Kristen Grauman ICLR 2022 [paper] [project] [code]
	Shaping embodied agent behavior with activity-context priors from egocentric video Tushar Nagarajan, Kristen Grauman NeurIPS 2021 (Spotlight) [paper] [project] [talk]
	Ego-Exo: Transferring Visual Representations from Third-person to First-person Videos Yanghao Li, Tushar Nagarajan, Bo Xiong, Kristen Grauman CVPR 2021 [paper] [code]
	Differentiable Causal Discovery Under Unmeasured Confounding Rohit Bhattacharya, Tushar Nagarajan, Daniel Malinsky, Ilya Shpitser AISTATS 2021 [paper] [code]
	Learning Affordance Landscapes for Interaction Exploration in 3D Environments Tushar Nagarajan, Kristen Grauman NeurIPS 2020 (Spotlight) [paper] [project] [talk] [code]
	Ego-Topo: Environment Affordances from Egocentric Video Tushar Nagarajan, Yanghao Li, Christoph Feichtenhofer, Kristen Grauman CVPR 2020 (Oral) [paper] [project] [talk] [code]
	Grounded Human-Object Interaction Hotspots from Video Tushar Nagarajan, Christoph Feichtenhofer, Kristen Grauman ICCV 2019 [paper] [project] [code]
	Attributes as Operators: Factorizing Unseen Attribute-Object Compositions Tushar Nagarajan, Kristen Grauman ECCV 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 CVPR 2018 (Spotlight) (* equal contribution) [paper] [code] [talk]
	CANDiS: Coupled & Attention-Driven Neural Distant Supervision Tushar Nagarajan, Sharmistha Jat, Partha Talukdar ACL 2017 (Workshop) [paper]
	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, Nagasuma Chandra JBC 2018 [paper] [code]