Jathushan Rajasegaran

According to our database, Jathushan Rajasegaran authored at least 27 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

FewShotNeRF: Meta-Learning-based Novel View Synthesis for Rapid Scene-Specific Adaptation.

Piraveen Sivakumar, Paul Janson, Jathushan Rajasegaran, Thanuja Ambegoda

CoRR, 2024

EgoPet: Egomotion and Interaction Data from an Animal's Perspective.

Amir Bar, Arya Bakhtiar, Danny Tran, Antonio Loquercio, Jathushan Rajasegaran, Yann LeCun, Amir Globerson, Trevor Darrell

CoRR, 2024

Humanoid Locomotion as Next Token Prediction.

Ilija Radosavovic, Bike Zhang, Baifeng Shi, Jathushan Rajasegaran, Sarthak Kamat, Trevor Darrell, Koushil Sreenath, Jitendra Malik

CoRR, 2024

Synthesizing Moving People with 3D Control.

Boyi Li, Jathushan Rajasegaran, Yossi Gandelsman, Alexei A. Efros, Jitendra Malik

CoRR, 2024

2023

Humans in 4D: Reconstructing and Tracking Humans with Transformers.

Shubham Goel, Georgios Pavlakos, Jathushan Rajasegaran, Angjoo Kanazawa, Jitendra Malik

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

On the Benefits of 3D Pose and Tracking for Human Action Recognition.

Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Christoph Feichtenhofer, Jitendra Malik

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A Multi-Modal Neural Embeddings Approach for Detecting Mobile Counterfeit Apps: A Case Study on Google Play Store.

Naveen Karunanayake, Jathushan Rajasegaran, Ashanie Gunathillake, Suranga Seneviratne, Guillaume Jourjon

IEEE Trans. Mob. Comput., 2022

Incremental Object Detection via Meta-Learning.

K. J. Joseph, Jathushan Rajasegaran, Salman H. Khan, Fahad Shahbaz Khan, Vineeth N. Balasubramanian

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Fully Online Meta-Learning Without Task Boundaries.

Jathushan Rajasegaran, Chelsea Finn, Sergey Levine

CoRR, 2022

Tracking People by Predicting 3D Appearance, Location and Pose.

Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Jitendra Malik

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Power Control for Body Area Networks: Accurate Channel Prediction by Lightweight Deep Learning.

Yizhou Yang, David Smith, Jathushan Rajasegaran, Suranga Seneviratne

IEEE Internet Things J., 2021

Tracking People by Predicting 3D Appearance, Location & Pose.

Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Jitendra Malik

CoRR, 2021

Tracking People with 3D Representations.

Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Jitendra Malik

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Meta-learning the Learning Trends Shared Across Tasks.

Jathushan Rajasegaran, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Self-supervised Knowledge Distillation for Few-shot Learning.

Jathushan Rajasegaran, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Incremental Object Detection via Meta-Learning.

K. J. Joseph, Jathushan Rajasegaran, Salman H. Khan, Fahad Shahbaz Khan, Vineeth Balasubramanian, Ling Shao

CoRR, 2020

iTAML: An Incremental Task-Agnostic Meta-learning Approach.

Jathushan Rajasegaran, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Combined Static and Motion Features for Deep-Networks-Based Activity Recognition in Videos.

Sameera Ramasinghe, Jathushan Rajasegaran, Vinoj Jayasundara, Kanchana Ranasinghe, Ranga Rodrigo, Ajith A. Pasqual

IEEE Trans. Circuits Syst. Video Technol., 2019

TimeCaps: Capturing Time Series Data with Capsule Networks.

Hirunima Jayasekara, Vinoj Jayasundara, Jathushan Rajasegaran, Sandaru Jayasekara, Suranga Seneviratne, Ranga Rodrigo

CoRR, 2019

Random Path Selection for Incremental Learning.

Jathushan Rajasegaran, Munawar Hayat, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao

CoRR, 2019

A Multi-modal Neural Embeddings Approach for Detecting Mobile Counterfeit Apps.

Jathushan Rajasegaran, Naveen Karunanayake, Ashanie Gunathillake, Suranga Seneviratne, Guillaume Jourjon

Proceedings of the World Wide Web Conference, 2019

TextCaps: Handwritten Character Recognition With Very Small Datasets.

Vinoj Jayasundara, Sandaru Jayasekara, Hirunima Jayasekara, Jathushan Rajasegaran, Suranga Seneviratne, Ranga Rodrigo

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Random Path Selection for Continual Learning.

Jathushan Rajasegaran, Munawar Hayat, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

DeepCaps: Going Deeper With Capsule Networks.

Jathushan Rajasegaran, Vinoj Jayasundara, Sandaru Jayasekara, Hirunima Jayasekara, Suranga Seneviratne, Ranga Rodrigo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Performance Characterization of Deep Learning Models for Breathing-based Authentication on Resource-Constrained Devices.

Jagmohan Chauhan, Jathushan Rajasegaran, Suranga Seneviratne, Archan Misra, Aruna Seneviratne, Youngki Lee

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

A Neural Embeddings Approach for Detecting Mobile Counterfeit Apps.

Jathushan Rajasegaran, Suranga Seneviratne, Guillaume Jourjon

CoRR, 2018

2017

Micro Actions and Deep Static Features for Activity Recognition.

Sameera Ramasinghe, Jathushan Rajasegaran, Vinoj Jayasundara, Kanchana Ranasinghe, Ranga Rodrigo, Ajith A. Pasqual

Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017