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ORCIDJathushan Rajasegaran
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2020 – today
- 2024
[i21]Boyi Li, Jathushan Rajasegaran, Yossi Gandelsman, Alexei A. Efros, Jitendra Malik:
Synthesizing Moving People with 3D Control. CoRR abs/2401.10889 (2024)- [i20]Ilija Radosavovic, Bike Zhang, Baifeng Shi, Jathushan Rajasegaran, Sarthak Kamat, Trevor Darrell, Koushil Sreenath, Jitendra Malik:
Humanoid Locomotion as Next Token Prediction. CoRR abs/2402.19469 (2024) - [i19]Amir Bar, Arya Bakhtiar, Danny Tran, Antonio Loquercio, Jathushan Rajasegaran, Yann LeCun, Amir Globerson, Trevor Darrell:
EgoPet: Egomotion and Interaction Data from an Animal's Perspective. CoRR abs/2404.09991 (2024) - [i18]Piraveen Sivakumar, Paul Janson, Jathushan Rajasegaran, Thanuja Ambegoda:
FewShotNeRF: Meta-Learning-based Novel View Synthesis for Rapid Scene-Specific Adaptation. CoRR abs/2408.04803 (2024) - [i17]Vongani H. Maluleke, Lea Müller, Jathushan Rajasegaran, Georgios Pavlakos, Shiry Ginosar, Angjoo Kanazawa, Jitendra Malik:
Synergy and Synchrony in Couple Dances. CoRR abs/2409.04440 (2024) - 2023
- [c12]Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Christoph Feichtenhofer, Jitendra Malik:
On the Benefits of 3D Pose and Tracking for Human Action Recognition. CVPR 2023: 640-649 - [c11]Shubham Goel, Georgios Pavlakos, Jathushan Rajasegaran, Angjoo Kanazawa, Jitendra Malik:
Humans in 4D: Reconstructing and Tracking Humans with Transformers. ICCV 2023: 14737-14748 - [i16]Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Christoph Feichtenhofer, Jitendra Malik:
On the Benefits of 3D Pose and Tracking for Human Action Recognition. CoRR abs/2304.01199 (2023) - [i15]Shubham Goel, Georgios Pavlakos, Jathushan Rajasegaran, Angjoo Kanazawa, Jitendra Malik:
Humans in 4D: Reconstructing and Tracking Humans with Transformers. CoRR abs/2305.20091 (2023) - 2022
- [j5]K. J. Joseph
, Jathushan Rajasegaran, Salman H. Khan, Fahad Shahbaz Khan, Vineeth N. Balasubramanian:
Incremental Object Detection via Meta-Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9209-9216 (2022) - [j4]Naveen Karunanayake, Jathushan Rajasegaran, Ashanie Gunathillake, Suranga Seneviratne, Guillaume Jourjon:
A Multi-Modal Neural Embeddings Approach for Detecting Mobile Counterfeit Apps: A Case Study on Google Play Store. IEEE Trans. Mob. Comput. 21(1): 16-30 (2022) - [c10]Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Jitendra Malik:
Tracking People by Predicting 3D Appearance, Location and Pose. CVPR 2022: 2730-2739 - [i14]Jathushan Rajasegaran, Chelsea Finn, Sergey Levine:
Fully Online Meta-Learning Without Task Boundaries. CoRR abs/2202.00263 (2022) - 2021
- [j3]Yizhou Yang, David Smith, Jathushan Rajasegaran, Suranga Seneviratne:
Power Control for Body Area Networks: Accurate Channel Prediction by Lightweight Deep Learning. IEEE Internet Things J. 8(5): 3567-3575 (2021) - [c9]Jathushan Rajasegaran, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah:
Self-supervised Knowledge Distillation for Few-shot Learning. BMVC 2021: 179 - [c8]Jathushan Rajasegaran, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah:
Meta-learning the Learning Trends Shared Across Tasks. BMVC 2021: 182 - [c7]Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Jitendra Malik:
Tracking People with 3D Representations. NeurIPS 2021: 23703-23713 - [i13]Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Jitendra Malik:
Tracking People with 3D Representations. CoRR abs/2111.07868 (2021) - [i12]Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Jitendra Malik:
Tracking People by Predicting 3D Appearance, Location & Pose. CoRR abs/2112.04477 (2021) - 2020
- [c6]Jathushan Rajasegaran, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah:
iTAML: An Incremental Task-Agnostic Meta-learning Approach. CVPR 2020: 13585-13594 - [i11]K. J. Joseph, Jathushan Rajasegaran, Salman H. Khan, Fahad Shahbaz Khan, Vineeth Balasubramanian, Ling Shao:
Incremental Object Detection via Meta-Learning. CoRR abs/2003.08798 (2020) - [i10]Jathushan Rajasegaran, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah:
iTAML: An Incremental Task-Agnostic Meta-learning Approach. CoRR abs/2003.11652 (2020) - [i9]Naveen Karunanayake, Jathushan Rajasegaran, Ashanie Gunathillake, Suranga Seneviratne, Guillaume Jourjon:
A Multi-modal Neural Embeddings Approach for Detecting Mobile Counterfeit Apps: A Case Study on Google Play Store. CoRR abs/2006.02231 (2020) - [i8]Jathushan Rajasegaran, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah:
Self-supervised Knowledge Distillation for Few-shot Learning. CoRR abs/2006.09785 (2020) - [i7]Jathushan Rajasegaran, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah:
Meta-learning the Learning Trends Shared Across Tasks. CoRR abs/2010.09291 (2020)
2010 – 2019
- 2019
- [j2]Sameera Ramasinghe, Jathushan Rajasegaran, Vinoj Jayasundara, Kanchana Ranasinghe, Ranga Rodrigo, Ajith A. Pasqual:
Combined Static and Motion Features for Deep-Networks-Based Activity Recognition in Videos. IEEE Trans. Circuits Syst. Video Technol. 29(9): 2693-2707 (2019) - [c5]Jathushan Rajasegaran, Vinoj Jayasundara, Sandaru Jayasekara, Hirunima Jayasekara, Suranga Seneviratne, Ranga Rodrigo:
DeepCaps: Going Deeper With Capsule Networks. CVPR 2019: 10725-10733 - [c4]Jathushan Rajasegaran, Munawar Hayat, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao:
Random Path Selection for Continual Learning. NeurIPS 2019: 12648-12658 - [c3]Vinoj Jayasundara, Sandaru Jayasekara, Hirunima Jayasekara, Jathushan Rajasegaran, Suranga Seneviratne, Ranga Rodrigo:
TextCaps: Handwritten Character Recognition With Very Small Datasets. WACV 2019: 254-262 - [c2]Jathushan Rajasegaran, Naveen Karunanayake, Ashanie Gunathillake, Suranga Seneviratne, Guillaume Jourjon:
A Multi-modal Neural Embeddings Approach for Detecting Mobile Counterfeit Apps. WWW 2019: 3165-3171 - [i6]Vinoj Jayasundara, Sandaru Jayasekara, Hirunima Jayasekara, Jathushan Rajasegaran, Suranga Seneviratne, Ranga Rodrigo:
TextCaps : Handwritten Character Recognition with Very Small Datasets. CoRR abs/1904.08095 (2019) - [i5]Jathushan Rajasegaran, Vinoj Jayasundara, Sandaru Jayasekara, Hirunima Jayasekara, Suranga Seneviratne, Ranga Rodrigo:
DeepCaps: Going Deeper with Capsule Networks. CoRR abs/1904.09546 (2019) - [i4]Jathushan Rajasegaran, Munawar Hayat, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao:
Random Path Selection for Incremental Learning. CoRR abs/1906.01120 (2019) - [i3]Hirunima Jayasekara, Vinoj Jayasundara, Jathushan Rajasegaran, Sandaru Jayasekara, Suranga Seneviratne, Ranga Rodrigo:
TimeCaps: Capturing Time Series Data with Capsule Networks. CoRR abs/1911.11800 (2019) - 2018
- [j1]Jagmohan Chauhan, Jathushan Rajasegaran, Suranga Seneviratne, Archan Misra, Aruna Seneviratne, Youngki Lee:
Performance Characterization of Deep Learning Models for Breathing-based Authentication on Resource-Constrained Devices. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(4): 158:1-158:24 (2018) - [i2]Jathushan Rajasegaran, Suranga Seneviratne, Guillaume Jourjon:
A Neural Embeddings Approach for Detecting Mobile Counterfeit Apps. CoRR abs/1804.09882 (2018) - [i1]Sameera Ramasinghe, Jathushan Rajasegaran, Vinoj Jayasundara, Kanchana Ranasinghe, Ranga Rodrigo, Ajith A. Pasqual:
Combined Static and Motion Features for Deep-Networks Based Activity Recognition in Videos. CoRR abs/1810.06827 (2018) - 2017
- [c1]Sameera Ramasinghe, Jathushan Rajasegaran, Vinoj Jayasundara, Kanchana Ranasinghe, Ranga Rodrigo, Ajith A. Pasqual:
Micro Actions and Deep Static Features for Activity Recognition. DICTA 2017: 1-8
Coauthor Index
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