Nagarajan, Tushar

Ego4D: Around the World in 3,000 Hours of Egocentric Video

Grauman, K., Westbury, A., Byrne, E., Chavis, Z., Furnari, A., Girdhar, R., Hamburger, J., Jiang, H., Liu, M., Liu, X., et al. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionContext-Aware Activity Recognition Systems

Cited by 630

BlockDrop: Dynamic Inference Paths in Residual Networks

Wu, Z., Nagarajan, T., Kumar, A., Rennie, S., Davis, L. S., Grauman, K., & Feris, R. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 465

Grounded Human-Object Interaction Hotspots From Video

Nagarajan, T., Feichtenhofer, C., & Grauman, K. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Robot Manipulation and LearningHuman Pose and Action Recognition

Cited by 147

Learning Affordance Landscapes for Interaction Exploration in 3D Environments

Nagarajan, T., & Grauman, K. (2020) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 38

Video ReCap: Recursive Captioning of Hour-Long Videos

Islam, M. M., Ho, N., Yang, X., Nagarajan, T., Torresani, L., & Bertasius, G. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsVideo Analysis and Summarization

Cited by 34

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding

Cho, J. H., Madotto, A., Mavroudi, E., Afouras, T., Nagarajan, T., Maaz, M., Song, Y., Ma, T., Hu, S., Jain, S., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 8

AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model

Moon, S., Madotto, A., Lin, Z., Nagarajan, T., Smith, M., Jain, S., Yeh, C.-F., Murugesan, P., Heidari, P., Liu, Y., et al. (2023) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 7

Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives

Grauman, K., Westbury, A., Torresani, L., Kitani, K., Malik, J., Afouras, T., Ashutosh, K., Baiyya, V., Bansal, S., Boote, B., et al. (2025) · International Journal of Computer Vision

Human Pose and Action RecognitionContext-Aware Activity Recognition Systems

Cited by 3