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Jathushan Rajasegaran
Jathushan Rajasegaran
PhD student, UC Berkeley
Dirección de correo verificada de eecs.berkeley.edu - Página principal
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Citado por
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Año
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
2572019
Random path selection for continual learning
J Rajasegaran, M Hayat, SH Khan, FS Khan, L Shao
Advances in neural information processing systems 32, 2019
253*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
1662020
Self-supervised knowledge distillation for few-shot learning
J Rajasegaran, S Khan, M Hayat, FS Khan, M Shah
arXiv preprint arXiv:2006.09785, 2020
1062020
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
1012021
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
922019
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
882023
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
542018
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
462022
Tracking people with 3D representations
J Rajasegaran, G Pavlakos, A Kanazawa, J Malik
arXiv preprint arXiv:2111.07868, 2021
302021
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
29*2020
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
222023
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
172020
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
152017
Timecaps: Capturing time series data with capsule networks
H Jayasekara, V Jayasundara, M Athif, J Rajasegaran, S Jayasekara, ...
arXiv preprint arXiv:1911.11800, 2019
122019
Humanoid locomotion as next token prediction
I Radosavovic, B Zhang, B Shi, J Rajasegaran, S Kamat, T Darrell, ...
arXiv preprint arXiv:2402.19469, 2024
112024
Meta-learning the learning trends shared across tasks
J Rajasegaran, S Khan, M Hayat, FS Khan, M Shah
arXiv preprint arXiv:2010.09291, 2020
112020
Fully online meta-learning without task boundaries
J Rajasegaran, C Finn, S Levine
arXiv preprint arXiv:2202.00263, 2022
42022
Micro Actions and Deep Static Features for Activity Recognition
S Ramasinghe, J Rajasegaran, V Jayasundara, K Ranasinghe, ...
2017 International Conference on Digital Image Computing: Techniques and …, 2017
12017
EgoPet: Egomotion and Interaction Data from an Animal's Perspective
A Bar, A Bakhtiar, D Tran, A Loquercio, J Rajasegaran, Y LeCun, ...
arXiv preprint arXiv:2404.09991, 2024
2024
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Artículos 1–20