Jathushan Rajasegaran

47 papers A* 10A 3Misc 1Journal 32Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Empirical Study of Autoregressive Pre-training from Videos. CoRR Jathushan Rajasegaran, Ilija Radosavovic, Rahul Ravishankar, Yossi Gandelsman, Christoph Feichtenhofer, Jitendra Malik
2025	J	`jnl`	Gaussian Masked Autoencoders. CoRR Jathushan Rajasegaran, Xinlei Chen, Rulilong Li, Christoph Feichtenhofer, Jitendra Malik, Shiry Ginosar
2025	J	`jnl`	Perception Encoder: The best visual embeddings are not at the output of the network. CoRR Daniel Bolya, Po-Yao Huang, Peize Sun, Jang Hyun Cho, Andrea Madotto, Chen Wei, Tengyu Ma, Jiale Zhi, Jathushan Rajasegaran, Hanoona Rasheed, Junke Wang, Marco Monteiro, Hu Xu, Shiyu Dong, Nikhila Ravi, Daniel Li, Piotr Dollár, Christoph Feichtenhofer
2025	J	`jnl`	Poly-Autoregressive Prediction for Modeling Interactions. CoRR Neerja Thakkar, Tara Sadjadpour, Jathushan Rajasegaran, Shiry Ginosar, Jitendra Malik
2025	A*	`conf`	Scaling Properties of Diffusion Models For Perceptual Tasks. CVPR Rahul Ravishankar, Zeeshan Patel, Jathushan Rajasegaran, Jitendra Malik
2025	J	`jnl`	Tracking by Predicting 3-D Gaussians Over Time. CoRR Tanish Baranwal, Himanshu Gaurav Singh, Jathushan Rajasegaran, Jitendra Malik
2024	—	`conf`	EgoPet: Egomotion and Interaction Data from an Animal's Perspective. ECCV (37) Amir Bar, Arya Bakhtiar, Danny Tran, Antonio Loquercio, Jathushan Rajasegaran, Yann LeCun, Amir Globerson, Trevor Darrell
2024	J	`jnl`	EgoPet: Egomotion and Interaction Data from an Animal's Perspective. CoRR Amir Bar, Arya Bakhtiar, Danny Tran, Antonio Loquercio, Jathushan Rajasegaran, Yann LeCun, Amir Globerson, Trevor Darrell
2024	J	`jnl`	FewShotNeRF: Meta-Learning-based Novel View Synthesis for Rapid Scene-Specific Adaptation. CoRR Piraveen Sivakumar, Paul Janson, Jathushan Rajasegaran, Thanuja D. Ambegoda
2024	A*	`conf`	Humanoid Locomotion as Next Token Prediction. NeurIPS Ilija Radosavovic, Bike Zhang, Baifeng Shi, Jathushan Rajasegaran, Sarthak Kamat, Trevor Darrell, Koushil Sreenath, Jitendra Malik
2024	J	`jnl`	Humanoid Locomotion as Next Token Prediction. CoRR Ilija Radosavovic, Bike Zhang, Baifeng Shi, Jathushan Rajasegaran, Sarthak Kamat, Trevor Darrell, Koushil Sreenath, Jitendra Malik
2024	J	`jnl`	Scaling Properties of Diffusion Models for Perceptual Tasks. CoRR Rahul Ravishankar, Zeeshan Patel, Jathushan Rajasegaran, Jitendra Malik
2024	J	`jnl`	Synergy and Synchrony in Couple Dances. CoRR Vongani H. Maluleke, Lea Müller, Jathushan Rajasegaran, Georgios Pavlakos, Shiry Ginosar, Angjoo Kanazawa, Jitendra Malik
2024	J	`jnl`	Synthesizing Moving People with 3D Control. CoRR Boyi Li, Jathushan Rajasegaran, Yossi Gandelsman, Alexei A. Efros, Jitendra Malik
2023	A*	`conf`	Humans in 4D: Reconstructing and Tracking Humans with Transformers. ICCV Shubham Goel, Georgios Pavlakos, Jathushan Rajasegaran, Angjoo Kanazawa, Jitendra Malik
2023	J	`jnl`	Humans in 4D: Reconstructing and Tracking Humans with Transformers. CoRR Shubham Goel, Georgios Pavlakos, Jathushan Rajasegaran, Angjoo Kanazawa, Jitendra Malik
2023	A*	`conf`	On the Benefits of 3D Pose and Tracking for Human Action Recognition. CVPR Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Christoph Feichtenhofer, Jitendra Malik
2023	J	`jnl`	On the Benefits of 3D Pose and Tracking for Human Action Recognition. CoRR Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Christoph Feichtenhofer, Jitendra Malik
2022	J	`jnl`	A Multi-Modal Neural Embeddings Approach for Detecting Mobile Counterfeit Apps: A Case Study on Google Play Store. IEEE Trans. Mob. Comput. Naveen Karunanayake, Jathushan Rajasegaran, Ashanie Gunathillake, Suranga Seneviratne, Guillaume Jourjon
2022	J	`jnl`	Fully Online Meta-Learning Without Task Boundaries. CoRR Jathushan Rajasegaran, Chelsea Finn, Sergey Levine
2022	J	`jnl`	Incremental Object Detection via Meta-Learning. IEEE Trans. Pattern Anal. Mach. Intell. K. J. Joseph, Jathushan Rajasegaran, Salman H. Khan, Fahad Shahbaz Khan, Vineeth N. Balasubramanian
2022	A*	`conf`	Tracking People by Predicting 3D Appearance, Location and Pose. CVPR Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Jitendra Malik
2021	A	`conf`	Meta-learning the Learning Trends Shared Across Tasks. BMVC Jathushan Rajasegaran, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah
2021	J	`jnl`	Power Control for Body Area Networks: Accurate Channel Prediction by Lightweight Deep Learning. IEEE Internet Things J. Yizhou Yang, David Smith, Jathushan Rajasegaran, Suranga Seneviratne
2021	A	`conf`	Self-supervised Knowledge Distillation for Few-shot Learning. BMVC Jathushan Rajasegaran, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah
2021	J	`jnl`	Tracking People by Predicting 3D Appearance, Location & Pose. CoRR Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Jitendra Malik
2021	A*	`conf`	Tracking People with 3D Representations. NeurIPS Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Jitendra Malik
2021	J	`jnl`	Tracking People with 3D Representations. CoRR Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Jitendra Malik
2020	J	`jnl`	A Multi-modal Neural Embeddings Approach for Detecting Mobile Counterfeit Apps: A Case Study on Google Play Store. CoRR Naveen Karunanayake, Jathushan Rajasegaran, Ashanie Gunathillake, Suranga Seneviratne, Guillaume Jourjon
2020	J	`jnl`	Incremental Object Detection via Meta-Learning. CoRR K. J. Joseph, Jathushan Rajasegaran, Salman H. Khan, Fahad Shahbaz Khan, Vineeth Balasubramanian, Ling Shao
2020	J	`jnl`	Meta-learning the Learning Trends Shared Across Tasks. CoRR Jathushan Rajasegaran, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah
2020	J	`jnl`	Self-supervised Knowledge Distillation for Few-shot Learning. CoRR Jathushan Rajasegaran, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah
2020	A*	`conf`	iTAML: An Incremental Task-Agnostic Meta-learning Approach. CVPR Jathushan Rajasegaran, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah
2020	J	`jnl`	iTAML: An Incremental Task-Agnostic Meta-learning Approach. CoRR Jathushan Rajasegaran, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah
2019	A*	`conf`	A Multi-modal Neural Embeddings Approach for Detecting Mobile Counterfeit Apps. WWW Jathushan Rajasegaran, Naveen Karunanayake, Ashanie Gunathillake, Suranga Seneviratne, Guillaume Jourjon
2019	J	`jnl`	Combined Static and Motion Features for Deep-Networks-Based Activity Recognition in Videos. IEEE Trans. Circuits Syst. Video Technol. Sameera Ramasinghe, Jathushan Rajasegaran, Vinoj Jayasundara, Kanchana Ranasinghe, Ranga Rodrigo, Ajith A. Pasqual
2019	A*	`conf`	DeepCaps: Going Deeper With Capsule Networks. CVPR Jathushan Rajasegaran, Vinoj Jayasundara, Sandaru Jayasekara, Hirunima Jayasekara, Suranga Seneviratne, Ranga Rodrigo
2019	J	`jnl`	DeepCaps: Going Deeper with Capsule Networks. CoRR Jathushan Rajasegaran, Vinoj Jayasundara, Sandaru Jayasekara, Hirunima Jayasekara, Suranga Seneviratne, Ranga Rodrigo
2019	A*	`conf`	Random Path Selection for Continual Learning. NeurIPS Jathushan Rajasegaran, Munawar Hayat, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao
2019	J	`jnl`	Random Path Selection for Incremental Learning. CoRR Jathushan Rajasegaran, Munawar Hayat, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao
2019	J	`jnl`	TextCaps : Handwritten Character Recognition with Very Small Datasets. CoRR Vinoj Jayasundara, Sandaru Jayasekara, Hirunima Jayasekara, Jathushan Rajasegaran, Suranga Seneviratne, Ranga Rodrigo
2019	A	`conf`	TextCaps: Handwritten Character Recognition With Very Small Datasets. WACV Vinoj Jayasundara, Sandaru Jayasekara, Hirunima Jayasekara, Jathushan Rajasegaran, Suranga Seneviratne, Ranga Rodrigo
2019	J	`jnl`	TimeCaps: Capturing Time Series Data with Capsule Networks. CoRR Hirunima Jayasekara, Vinoj Jayasundara, Jathushan Rajasegaran, Sandaru Jayasekara, Suranga Seneviratne, Ranga Rodrigo
2018	J	`jnl`	A Neural Embeddings Approach for Detecting Mobile Counterfeit Apps. CoRR Jathushan Rajasegaran, Suranga Seneviratne, Guillaume Jourjon
2018	J	`jnl`	Combined Static and Motion Features for Deep-Networks Based Activity Recognition in Videos. CoRR Sameera Ramasinghe, Jathushan Rajasegaran, Vinoj Jayasundara, Kanchana Ranasinghe, Ranga Rodrigo, Ajith A. Pasqual
2018	J	`jnl`	Performance Characterization of Deep Learning Models for Breathing-based Authentication on Resource-Constrained Devices. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Jagmohan Chauhan, Jathushan Rajasegaran, Suranga Seneviratne, Archan Misra, Aruna Seneviratne, Youngki Lee
2017	Misc	`conf`	Micro Actions and Deep Static Features for Activity Recognition. DICTA Sameera Ramasinghe, Jathushan Rajasegaran, Vinoj Jayasundara, Kanchana Ranasinghe, Ranga Rodrigo, Ajith A. Pasqual