Folgen
Tushar Nagarajan
Tushar Nagarajan
FAIR, Meta
Bestätigte E-Mail-Adresse bei utexas.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Ego4d: Around the world in 3,000 hours of egocentric video
K Grauman, A Westbury, E Byrne, Z Chavis, A Furnari, R Girdhar, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
8772022
Blockdrop: Dynamic inference paths in residual networks
Z Wu, T Nagarajan, A Kumar, S Rennie, LS Davis, K Grauman, R Feris
Proceedings of the IEEE conference on computer vision and pattern …, 2018
5742018
Attributes as operators: factorizing unseen attribute-object compositions
T Nagarajan, K Grauman
Proceedings of the European Conference on Computer Vision (ECCV), 169-185, 2018
217*2018
Grounded human-object interaction hotspots from video
T Nagarajan, C Feichtenhofer, K Grauman
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1792019
Ego-topo: Environment affordances from egocentric video
T Nagarajan, Y Li, C Feichtenhofer, K Grauman
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1332020
Computational antimicrobial peptide design and evaluation against multidrug-resistant clinical isolates of bacteria
D Nagarajan, T Nagarajan, N Roy, O Kulkarni, S Ravichandran, M Mishra, ...
Journal of Biological Chemistry 293 (10), 3492-3509, 2018
1282018
Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives
K Grauman, A Westbury, L Torresani, K Kitani, J Malik, T Afouras, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
872024
Ego-exo: Transferring visual representations from third-person to first-person videos
Y Li, T Nagarajan, B Xiong, K Grauman
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
782021
Learning Affordance Landscapes for Interaction Exploration in 3D Environments
T Nagarajan, K Grauman
arXiv preprint arXiv:2008.09241, 2020
782020
Differentiable causal discovery under unmeasured confounding
R Bhattacharya, T Nagarajan, D Malinsky, I Shpitser
International Conference on Artificial Intelligence and Statistics, 2314-2322, 2021
692021
Anymal: An efficient and scalable any-modality augmented language model
S Moon, A Madotto, Z Lin, T Nagarajan, M Smith, S Jain, CF Yeh, ...
Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024
632024
Egodistill: Egocentric head motion distillation for efficient video understanding
S Tan, T Nagarajan, K Grauman
Advances in Neural Information Processing Systems 36, 33485-33498, 2023
172023
Ego4d goal-step: Toward hierarchical understanding of procedural activities
Y Song, E Byrne, T Nagarajan, H Wang, M Martin, L Torresani
Advances in Neural Information Processing Systems 36, 2024
162024
EgoEnv: Human-centric environment representations from egocentric video
T Nagarajan, SK Ramakrishnan, R Desai, J Hillis, K Grauman
Advances in Neural Information Processing Systems 36, 60130-60143, 2023
16*2023
Shaping embodied agent behavior with activity-context priors from egocentric video
T Nagarajan, K Grauman
Advances in Neural Information Processing Systems 34, 29794-29805, 2021
162021
Environment predictive coding for embodied agents
SK Ramakrishnan, T Nagarajan, Z Al-Halah, K Grauman
arXiv preprint arXiv:2102.02337, 2021
16*2021
Video ReCap: Recursive Captioning of Hour-Long Videos
MM Islam, N Ho, X Yang, T Nagarajan, L Torresani, G Bertasius
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
122024
A uniform in vitro efficacy dataset to guide antimicrobial peptide design
D Nagarajan, T Nagarajan, N Nanajkar, N Chandra
Data 4 (1), 27, 2019
82019
Ht-step: Aligning instructional articles with how-to videos
T Afouras, E Mavroudi, T Nagarajan, H Wang, L Torresani
Advances in Neural Information Processing Systems 36, 2024
72024
Detours for navigating instructional videos
K Ashutosh, Z Xue, T Nagarajan, K Grauman
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
42024
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20