Jathushan Rajasegaran

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 36

Top Topics

Learning Models

Activity Recognition

Top Venues

Publications

Boyi Li, Jathushan Rajasegaran, Yossi Gandelsman, Alexei A. Efros, Jitendra Malik
Synthesizing Moving People with 3D Control. CoRR (2024)
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 (2024)
Ilija Radosavovic, Bike Zhang, Baifeng Shi, Jathushan Rajasegaran, Sarthak Kamat, Trevor Darrell, Koushil Sreenath, Jitendra Malik
Humanoid Locomotion as Next Token Prediction. CoRR (2024)
Shubham Goel, Georgios Pavlakos, Jathushan Rajasegaran, Angjoo Kanazawa, Jitendra Malik
Humans in 4D: Reconstructing and Tracking Humans with Transformers. CoRR (2023)
Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Christoph Feichtenhofer, Jitendra Malik
On the Benefits of 3D Pose and Tracking for Human Action Recognition. CoRR (2023)
Shubham Goel, Georgios Pavlakos, Jathushan Rajasegaran, Angjoo Kanazawa, Jitendra Malik
Humans in 4D: Reconstructing and Tracking Humans with Transformers. ICCV (2023)
Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Christoph Feichtenhofer, Jitendra Malik
On the Benefits of 3D Pose and Tracking for Human Action Recognition. CVPR (2023)
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) (2022)
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) (2022)
Jathushan Rajasegaran, Chelsea Finn, Sergey Levine
Fully Online Meta-Learning Without Task Boundaries. CoRR (2022)
Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Jitendra Malik
Tracking People by Predicting 3D Appearance, Location and Pose. CVPR (2022)
Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Jitendra Malik
Tracking People with 3D Representations. CoRR (2021)
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) (2021)
Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Jitendra Malik
Tracking People by Predicting 3D Appearance, Location & Pose. CoRR (2021)
Jathushan Rajasegaran, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah
Meta-learning the Learning Trends Shared Across Tasks. BMVC (2021)
Jathushan Rajasegaran, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah
Self-supervised Knowledge Distillation for Few-shot Learning. BMVC (2021)
Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Jitendra Malik
Tracking People with 3D Representations. NeurIPS (2021)
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 (2020)
Jathushan Rajasegaran, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah
Self-supervised Knowledge Distillation for Few-shot Learning. CoRR (2020)
Jathushan Rajasegaran, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah
Meta-learning the Learning Trends Shared Across Tasks. CoRR (2020)
K. J. Joseph, Jathushan Rajasegaran, Salman H. Khan, Fahad Shahbaz Khan, Vineeth Balasubramanian, Ling Shao
Incremental Object Detection via Meta-Learning. CoRR (2020)
Jathushan Rajasegaran, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah
iTAML: An Incremental Task-Agnostic Meta-learning Approach. CoRR (2020)
Jathushan Rajasegaran, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah
iTAML: An Incremental Task-Agnostic Meta-learning Approach. CVPR (2020)
Jathushan Rajasegaran, Naveen Karunanayake, Ashanie Gunathillake, Suranga Seneviratne, Guillaume Jourjon
A Multi-modal Neural Embeddings Approach for Detecting Mobile Counterfeit Apps. WWW (2019)
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) (2019)
Jathushan Rajasegaran, Munawar Hayat, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao
Random Path Selection for Continual Learning. NeurIPS (2019)
Jathushan Rajasegaran, Munawar Hayat, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao
Random Path Selection for Incremental Learning. CoRR (2019)
Vinoj Jayasundara, Sandaru Jayasekara, Hirunima Jayasekara, Jathushan Rajasegaran, Suranga Seneviratne, Ranga Rodrigo
TextCaps : Handwritten Character Recognition with Very Small Datasets. CoRR (2019)
Hirunima Jayasekara, Vinoj Jayasundara, Jathushan Rajasegaran, Sandaru Jayasekara, Suranga Seneviratne, Ranga Rodrigo
TimeCaps: Capturing Time Series Data with Capsule Networks. CoRR (2019)
Vinoj Jayasundara, Sandaru Jayasekara, Hirunima Jayasekara, Jathushan Rajasegaran, Suranga Seneviratne, Ranga Rodrigo
TextCaps: Handwritten Character Recognition With Very Small Datasets. WACV (2019)
Jathushan Rajasegaran, Vinoj Jayasundara, Sandaru Jayasekara, Hirunima Jayasekara, Suranga Seneviratne, Ranga Rodrigo
DeepCaps: Going Deeper with Capsule Networks. CoRR (2019)
Jathushan Rajasegaran, Vinoj Jayasundara, Sandaru Jayasekara, Hirunima Jayasekara, Suranga Seneviratne, Ranga Rodrigo
DeepCaps: Going Deeper With Capsule Networks. CVPR (2019)
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 (2018)
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) (2018)
Jathushan Rajasegaran, Suranga Seneviratne, Guillaume Jourjon
A Neural Embeddings Approach for Detecting Mobile Counterfeit Apps. CoRR (2018)
Sameera Ramasinghe, Jathushan Rajasegaran, Vinoj Jayasundara, Kanchana Ranasinghe, Ranga Rodrigo, Ajith A. Pasqual
Micro Actions and Deep Static Features for Activity Recognition. DICTA (2017)