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Jathushan Rajasegaran
Jathushan Rajasegaran
PhD student, UC Berkeley
Adresse e-mail validée de eecs.berkeley.edu - Page d'accueil
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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
1622019
Random path selection for incremental learning
J Rajasegaran, M Hayat, S Khan, FS Khan, L Shao
Advances in Neural Information Processing Systems, 2019
93*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
572020
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
492019
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
292018
Self-supervised knowledge distillation for few-shot learning
J Rajasegaran, S Khan, M Hayat, FS Khan, M Shah
arXiv preprint arXiv:2006.09785, 2020
272020
Incremental Object Detection via Meta-Learning
J Kj, J Rajasegaran, S Khan, FS Khan, VN Balasubramanian
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
14*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
13*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
82017
TimeCaps: Capturing Time Series Data with Capsule Networks
H Jayasekara, V Jayasundara, J Rajasegaran, S Jayasekara, ...
ArXiv, abs/1911.11800, 2019
5*2019
Tracking People with 3D Representations
J Rajasegaran, G Pavlakos, A Kanazawa, J Malik
arXiv preprint arXiv:2111.07868, 2021
32021
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
22020
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
Fully Online Meta-Learning Without Task Boundaries
J Rajasegaran, C Finn, S Levine
arXiv preprint arXiv:2202.00263, 2022
2022
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
2022
Meta-learning the Learning Trends Shared Across Tasks
J Rajasegaran, S Khan, M Hayat, FS Khan, M Shah
arXiv preprint arXiv:2010.09291, 2020
2020
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