Tushar Nagarajan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
7
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WACV | SPOC: Spatially-Progressing Object State Change Segmentation in Video. | Priyanka Mandikal, Tushar Nagarajan, Alex Stoken, Zihui Xue, Kristen Grauman |
| 2025 | CVPR | ExpertAF: Expert Actionable Feedback from Video. | Kumar Ashutosh, Tushar Nagarajan, Georgios Pavlakos, Kris Kitani, Kristen Grauman |
| 2025 | CVPR | BIMBA: Selective-Scan Compression for Long-Range Video Question Answering. | Md Mohaiminul Islam, Tushar Nagarajan, Huiyu Wang, Gedas Bertasius, Lorenzo Torresani |
| 2025 | CVPR | VITED: Video Temporal Evidence Distillation. | Yujie Lu, Yale Song, William Wang, Lorenzo Torresani, Tushar Nagarajan |
| 2025 | CVPR | 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 |
| 2025 | ICCV | EgoAdapt: Adaptive Multisensory Distillation and Policy Learning for Efficient Egocentric Perception. | Sanjoy Chowdhury, Subrata Biswas, Sayan Nag, Tushar Nagarajan, Calvin Murdock, Ishwarya Ananthabhotla, Yijun Qian, Vamsi Krishna Ithapu, Dinesh Manocha, Ruohan Gao |
| 2025 | ICCV | Switch-a-View: View Selection Learned from Unlabeled In-the-Wild Videos. | Sagnik Majumder, Tushar Nagarajan, Ziad Al-Halah, Kristen Grauman |
| 2025 | ICLR | VEDIT: Latent Prediction Architecture For Procedural Video Representation Learning. | Han Lin, Tushar Nagarajan, Nicolas Ballas, Mido Assran, Mojtaba Komeili, Mohit Bansal, Koustuv Sinha |
| 2025 | WACV | User-in-the-Loop Evaluation of Multimodal LLMs for Activity Assistance. | Mrinal Verghese, Brian Chen, Hamid Eghbalzadeh, Tushar Nagarajan, Ruta Desai |
| 2024 | CVPR | Detours for Navigating Instructional Videos. | Kumar Ashutosh, Zihui Xue, Tushar Nagarajan, Kristen Grauman |
| 2024 | CVPR | Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives. | Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, Eugene Byrne, Zachary Chavis, Joya Chen, Feng Cheng, Fu-Jen Chu, Sean Crane, Avijit Dasgupta, Jing Dong, Mara Escobar, Cristhian Forigua, Abrham Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog Dutt Jain, Rawal Khirodkar, Devansh Kukreja, Kevin J. Liang, Jia-Wei Liu, Sagnik Majumder, Yongsen Mao, Miguel Martin, Effrosyni Mavroudi, Tushar Nagarajan, Francesco Ragusa, Santhosh Kumar Ramakrishnan, Luigi Seminara, Arjun Somayazulu, Yale Song, Shan Su, Zihui Xue, Edward Zhang, Jinxu Zhang, Angela Castillo, Changan Chen, Xinzhu Fu, Ryosuke Furuta, Cristina Gonzlez, Prince Gupta, Jiabo Hu, Yifei Huang, Yiming Huang, Weslie Khoo, Anush Kumar, Robert Kuo, Sach Lakhavani, Miao Liu, Mi Luo, Zhengyi Luo, Brighid Meredith, Austin Miller, Oluwatumininu Oguntola, Xiaqing Pan, Penny Peng, Shraman Pramanick, Merey Ramazanova, Fiona Ryan, Wei Shan, Kiran K. Somasundaram, Chenan Song, Audrey Southerland, Masatoshi Tateno, Huiyu Wang, Yuchen Wang, Takuma Yagi, Mingfei Yan, Xitong Yang, Zecheng Yu, Shengxin Cindy Zha, Chen Zhao, Ziwei Zhao, Zhifan Zhu, Jeff Zhuo, Pablo Arbelez, Gedas Bertasius, Dima Damen, Jakob J. Engel, Giovanni Maria Farinella, Antonino Furnari, Bernard Ghanem, Judy Hoffman, C. V. Jawahar, Richard A. Newcombe, Hyun Soo Park, James M. Rehg, Yoichi Sato, Manolis Savva, Jianbo Shi, Mike Zheng Shout, Michael Wray |
| 2024 | CVPR | Video ReCap: Recursive Captioning of Hour-Long Videos. | Md Mohaiminul Islam, Ngan Ho, Xitong Yang, Tushar Nagarajan, Lorenzo Torresani, Gedas Bertasius |
| 2024 | CVPR | Step Differences in Instructional Video. | Tushar Nagarajan, Lorenzo Torresani |
| 2024 | ECCV | AMEGO: Active Memory from Long EGOcentric Videos. | Gabriele Goletto, Tushar Nagarajan, Giuseppe Averta, Dima Damen |
| 2024 | ECCV | 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 |
| 2024 | EMNLP | 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 |
| 2022 | CVPR | Ego4D: Around the World in 3, 000 Hours of Egocentric Video. | Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Abrham Gebreselasie, Cristina Gonzlez, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jchym Kolr, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran K. Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Ziwei Zhao, Yunyi Zhu, Pablo Arbelez, David Crandall, Dima Damen, Giovanni Maria Farinella, Christian Fuegen, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard A. Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik |
| 2022 | ICLR | Environment Predictive Coding for Visual Navigation. | Santhosh Kumar Ramakrishnan, Tushar Nagarajan, Ziad Al-Halah, Kristen Grauman |
| 2021 | AISTATS | Differentiable Causal Discovery Under Unmeasured Confounding. | Rohit Bhattacharya, Tushar Nagarajan, Daniel Malinsky, Ilya Shpitser |
| 2021 | CVPR | Ego-Exo: Transferring Visual Representations From Third-Person to First-Person Videos. | Yanghao Li, Tushar Nagarajan, Bo Xiong, Kristen Grauman |
| 2020 | CVPR | Ego-Topo: Environment Affordances From Egocentric Video. | Tushar Nagarajan, Yanghao Li, Christoph Feichtenhofer, Kristen Grauman |
| 2019 | ICCV | Grounded Human-Object Interaction Hotspots From Video. | Tushar Nagarajan, Christoph Feichtenhofer, Kristen Grauman |
| 2018 | CVPR | BlockDrop: Dynamic Inference Paths in Residual Networks. | Zuxuan Wu, Tushar Nagarajan, Abhishek Kumar, Steven Rennie, Larry S. Davis, Kristen Grauman, Rogrio Schmidt Feris |
| 2018 | ECCV | Attributes as Operators: Factorizing Unseen Attribute-Object Compositions. | Tushar Nagarajan, Kristen Grauman |