| Random path selection for continual learning J Rajasegaran, M Hayat, SH Khan, FS Khan, L Shao Advances in neural information processing systems 32, 2019 | 301 | 2019 |
| Deepcaps: Going deeper with capsule networks J Rajasegaran, V Jayasundara, S Jayasekara, H Jayasekara, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 297 | 2019 |
| itaml: An incremental task-agnostic meta-learning approach J Rajasegaran, S Khan, M Hayat, FS Khan, M Shah Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 200 | 2020 |
| Humans in 4D: Reconstructing and tracking humans with transformers S Goel, G Pavlakos, J Rajasegaran, A Kanazawa, J Malik Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 187 | 2023 |
| Incremental object detection via meta-learning KJ Joseph, J Rajasegaran, S Khan, FS Khan, VN Balasubramanian IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12), 9209 …, 2021 | 133 | 2021 |
| Self-supervised knowledge distillation for few-shot learning J Rajasegaran, S Khan, M Hayat, FS Khan, M Shah arXiv preprint arXiv:2006.09785, 2020 | 123 | 2020 |
| Textcaps: Handwritten character recognition with very small datasets V Jayasundara, S Jayasekara, H Jayasekara, J Rajasegaran, ... 2019 IEEE winter conference on applications of computer vision (WACV), 254-262, 2019 | 95 | 2019 |
| Tracking People by Predicting 3D Appearance, Location & Pose J Rajasegaran, G Pavlakos, A Kanazawa, J Malik Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 72 | 2022 |
| Performance characterization of deep learning models for breathing-based authentication on resource-constrained devices J Chauhan, J Rajasegaran, S Seneviratne, A Misra, A Seneviratne, Y Lee Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018 | 58 | 2018 |
| Humanoid locomotion as next token prediction I Radosavovic, B Zhang, B Shi, J Rajasegaran, S Kamat, T Darrell, ... The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 47 | 2024 |
| On the benefits of 3d pose and tracking for human action recognition J Rajasegaran, G Pavlakos, A Kanazawa, C Feichtenhofer, J Malik Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 39 | 2023 |
| Tracking people with 3D representations J Rajasegaran, G Pavlakos, A Kanazawa, J Malik arXiv preprint arXiv:2111.07868, 2021 | 39 | 2021 |
| A multi-modal neural embeddings approach for detecting mobile counterfeit apps: A case study on Google Play store N Karunanayake, J Rajasegaran, A Gunathillake, S Seneviratne, ... IEEE Transactions on Mobile Computing 21 (1), 16-30, 2020 | 37* | 2020 |
| Power control for body area networks: Accurate channel prediction by lightweight deep learning Y Yang, D Smith, J Rajasegaran, S Seneviratne IEEE Internet of Things Journal 8 (5), 3567-3575, 2020 | 20 | 2020 |
| Combined static and motion features for deep-networks-based activity recognition in videos S Ramasinghe, J Rajasegaran, V Jayasundara, K Ranasinghe, ... IEEE Transactions on Circuits and Systems for Video Technology 29 (9), 2693-2707, 2017 | 16 | 2017 |
| Meta-learning the learning trends shared across tasks J Rajasegaran, S Khan, M Hayat, FS Khan, M Shah arXiv preprint arXiv:2010.09291, 2020 | 13 | 2020 |
| Timecaps: Capturing time series data with capsule networks H Jayasekara, V Jayasundara, M Athif, J Rajasegaran, S Jayasekara, ... arXiv preprint arXiv:1911.11800, 2019 | 12 | 2019 |
| Fully online meta-learning without task boundaries J Rajasegaran, C Finn, S Levine arXiv preprint arXiv:2202.00263, 2022 | 7 | 2022 |
| Synthesizing moving people with 3D control B Li, J Rajasegaran, Y Gandelsman, AA Efros, J Malik arXiv preprint arXiv:2401.10889, 2024 | 5 | 2024 |
| An Empirical Study of Autoregressive Pre-training from Videos J Rajasegaran, I Radosavovic, R Ravishankar, Y Gandelsman, ... arXiv preprint arXiv:2501.05453, 2025 | 3 | 2025 |
Jitendra MALIKProfessor of EECS, UC Berkeleyبريد إلكتروني تم التحقق منه على eecs.berkeley.edu
Salman KhanMBZUAI, Australian National Universityبريد إلكتروني تم التحقق منه على anu.edu.au
Fahad Shahbaz KhanMBZUAI, Linköping University Swedenبريد إلكتروني تم التحقق منه على cvc.uab.es
Munawar HayatQualcommبريد إلكتروني تم التحقق منه على qti.qualcomm.com
Vinoj JayasundaraGraduate Student, University of Maryland, College Park, USAبريد إلكتروني تم التحقق منه على umd.edu
Ranga RodrigoDepartment of Electronic and Telecommunication Engineering, University of Moratuwaبريد إلكتروني تم التحقق منه على uom.lk
Angjoo KanazawaUC Berkeleyبريد إلكتروني تم التحقق منه على berkeley.edu
Georgios PavlakosUT Austinبريد إلكتروني تم التحقق منه على cs.utexas.edu
Hirunima JayasekaraUniversity of Marylandبريد إلكتروني تم التحقق منه على umd.edu
Shubham GoelAvataar Inc.بريد إلكتروني تم التحقق منه على berkeley.edu
Christoph FeichtenhoferMeta, FAIRبريد إلكتروني تم التحقق منه على fb.com
K J JosephResearch Scientist, Adobe Researchبريد إلكتروني تم التحقق منه على adobe.com
Vineeth N BalasubramanianProfessor, Indian Institute of Technology, Hyderabad, Indiaبريد إلكتروني تم التحقق منه على iith.ac.inYossi GandelsmanUC Berkeleyبريد إلكتروني تم التحقق منه على gandelsman.com
Sergey LevineUC Berkeley, Physical Intelligenceبريد إلكتروني تم التحقق منه على eecs.berkeley.edu
Chelsea FinnStanford University, Physical Intelligenceبريد إلكتروني تم التحقق منه على cs.stanford.edu
Alexei A. EfrosDept. of Electrical Engineering and Computer Sciences, UC Berkeleyبريد إلكتروني تم التحقق منه على eecs.berkeley.edu
Boyi LiNVIDIA Research, UC Berkeleyبريد إلكتروني تم التحقق منه على berkeley.edu
Antonio LoquercioAssistant Professor, University of Pennsylvaniaبريد إلكتروني تم التحقق منه على ifi.uzh.ch
Yann LeCunChief AI Scientist at Facebook & JT Schwarz Professor at the Courant Institute, New York Universityبريد إلكتروني تم التحقق منه على cs.nyu.edu
