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Jathushan Rajasegaran
Jathushan Rajasegaran
PhD student, UC Berkeley
Verified email at eecs.berkeley.edu - Homepage
Title
Cited by
Cited by
Year
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
2472019
Random path selection for continual learning
J Rajasegaran, M Hayat, SH Khan, FS Khan, L Shao
Advances in neural information processing systems 32, 2019
246*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
1622020
Self-supervised knowledge distillation for few-shot learning
J Rajasegaran, S Khan, M Hayat, FS Khan, M Shah
arXiv preprint arXiv:2006.09785, 2020
1072020
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
982021
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
902019
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
692023
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
552018
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
412022
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
Tracking people with 3D representations
J Rajasegaran, G Pavlakos, A Kanazawa, J Malik
arXiv preprint arXiv:2111.07868, 2021
282021
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
212023
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
112019
Meta-learning the learning trends shared across tasks
J Rajasegaran, S Khan, M Hayat, FS Khan, M Shah
arXiv preprint arXiv:2010.09291, 2020
102020
DeepCaps: Going Deeper With Capsule Networks. 2019 IEEE
J Rajasegaran, V Jayasundara, S Jayasekara, H Jayasekara, ...
CVF Conference on Computer Vision and Pattern Recognition (CVPR), 10717-10725, 2019
92019
Humanoid Locomotion as Next Token Prediction
I Radosavovic, B Zhang, B Shi, J Rajasegaran, S Kamat, T Darrell, ...
arXiv preprint arXiv:2402.19469, 2024
52024
Fully online meta-learning without task boundaries
J Rajasegaran, C Finn, S Levine
arXiv preprint arXiv:2202.00263, 2022
32022
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
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