Micro Actions and Deep Static Features for Activity Recognition. - Sameera Ramasinghe; Jathushan Rajasegaran; Vinoj Jayasundara 001; Kanchana Ranasinghe; Ranga Rodrigo; Ajith A. Pasqual (DICTA, 2017)

A Neural Embeddings Approach for Detecting Mobile Counterfeit Apps. - Jathushan Rajasegaran; Suranga Seneviratne; Guillaume Jourjon (CoRR, 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 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

DeepCaps: Going Deeper With Capsule Networks. - Jathushan Rajasegaran; Vinoj Jayasundara 001; Sandaru Jayasekara; Hirunima Jayasekara; Suranga Seneviratne; Ranga Rodrigo (CVPR, 2019)

Random Path Selection for Continual Learning. - Jathushan Rajasegaran; Munawar Hayat; Salman H. Khan 001; Fahad Shahbaz Khan; Ling Shao 001 (NeurIPS, 2019)

TextCaps: Handwritten Character Recognition With Very Small Datasets. - Vinoj Jayasundara 001; Sandaru Jayasekara; Hirunima Jayasekara; Jathushan Rajasegaran; Suranga Seneviratne; Ranga Rodrigo (WACV, 2019)

A Multi-modal Neural Embeddings Approach for Detecting Mobile Counterfeit Apps. - Jathushan Rajasegaran; Naveen Karunanayake; Ashanie Gunathillake; Suranga Seneviratne; Guillaume Jourjon (WWW, 2019)

Random Path Selection for Incremental Learning. - Jathushan Rajasegaran; Munawar Hayat; Salman H. Khan 001; Fahad Shahbaz Khan; Ling Shao 001 (CoRR, 2019)

TimeCaps: Capturing Time Series Data with Capsule Networks. - Hirunima Jayasekara; Vinoj Jayasundara 001; Jathushan Rajasegaran; Sandaru Jayasekara; Suranga Seneviratne; Ranga Rodrigo (CoRR, 2019)

Combined Static and Motion Features for Deep-Networks-Based Activity Recognition in Videos. - Sameera Ramasinghe; Jathushan Rajasegaran; Vinoj Jayasundara 001; Kanchana Ranasinghe; Ranga Rodrigo; Ajith A. Pasqual (IEEE Trans. Circuits Syst. Video Technol., 2019)

iTAML: An Incremental Task-Agnostic Meta-learning Approach. - Jathushan Rajasegaran; Salman H. Khan 001; Munawar Hayat; Fahad Shahbaz Khan; Mubarak Shah (CVPR, 2020)

Incremental Object Detection via Meta-Learning. - K. J. Joseph; Jathushan Rajasegaran; Salman H. Khan 001; Fahad Shahbaz Khan; Vineeth Balasubramanian; Ling Shao 001 (CoRR, 2020)

Self-supervised Knowledge Distillation for Few-shot Learning. - Jathushan Rajasegaran; Salman Khan 001; Munawar Hayat; Fahad Shahbaz Khan; Mubarak Shah (BMVC, 2021)

Meta-learning the Learning Trends Shared Across Tasks. - Jathushan Rajasegaran; Salman Khan 001; Munawar Hayat; Fahad Shahbaz Khan; Mubarak Shah (BMVC, 2021)

Tracking People with 3D Representations. - Jathushan Rajasegaran; Georgios Pavlakos; Angjoo Kanazawa; Jitendra Malik (NeurIPS, 2021)

Tracking People by Predicting 3D Appearance, Location & Pose. - Jathushan Rajasegaran; Georgios Pavlakos; Angjoo Kanazawa; Jitendra Malik (CoRR, 2021)

Power Control for Body Area Networks: Accurate Channel Prediction by Lightweight Deep Learning. - Yizhou Yang; David Smith 001; Jathushan Rajasegaran; Suranga Seneviratne (IEEE Internet Things J., 2021)

Tracking People by Predicting 3D Appearance, Location and Pose. - Jathushan Rajasegaran; Georgios Pavlakos; Angjoo Kanazawa; Jitendra Malik (CVPR, 2022)

Fully Online Meta-Learning Without Task Boundaries. - Jathushan Rajasegaran; Chelsea Finn; Sergey Levine (CoRR, 2022)

Incremental Object Detection via Meta-Learning. - K. J. Joseph; Jathushan Rajasegaran; Salman H. Khan 001; Fahad Shahbaz Khan; Vineeth N. Balasubramanian (IEEE Trans. Pattern Anal. Mach. Intell., 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)

On the Benefits of 3D Pose and Tracking for Human Action Recognition. - Jathushan Rajasegaran; Georgios Pavlakos; Angjoo Kanazawa; Christoph Feichtenhofer; Jitendra Malik (CVPR, 2023)

Humans in 4D: Reconstructing and Tracking Humans with Transformers. - Shubham Goel 001; Georgios Pavlakos; Jathushan Rajasegaran; Angjoo Kanazawa; Jitendra Malik (ICCV, 2023)

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 (ECCV (37), 2024)

Humanoid Locomotion as Next Token Prediction. - Ilija Radosavovic; Bike Zhang; Baifeng Shi; Jathushan Rajasegaran; Sarthak Kamat; Trevor Darrell; Koushil Sreenath; Jitendra Malik (NeurIPS, 2024)

Synthesizing Moving People with 3D Control. - Boyi Li; Jathushan Rajasegaran; Yossi Gandelsman; Alexei A. Efros; Jitendra Malik (CoRR, 2024)

FewShotNeRF: Meta-Learning-based Novel View Synthesis for Rapid Scene-Specific Adaptation. - Piraveen Sivakumar; Paul Janson; Jathushan Rajasegaran; Thanuja D. Ambegoda (CoRR, 2024)

Synergy and Synchrony in Couple Dances. - Vongani H. Maluleke; Lea Müller; Jathushan Rajasegaran; Georgios Pavlakos; Shiry Ginosar; Angjoo Kanazawa; Jitendra Malik (CoRR, 2024)

Scaling Properties of Diffusion Models For Perceptual Tasks. - Rahul Ravishankar; Zeeshan Patel; Jathushan Rajasegaran; Jitendra Malik (CVPR, 2025)

Gaussian Masked Autoencoders. - Jathushan Rajasegaran; Xinlei Chen; Rulilong Li; Christoph Feichtenhofer; Jitendra Malik; Shiry Ginosar (CoRR, 2025)

An Empirical Study of Autoregressive Pre-training from Videos. - Jathushan Rajasegaran; Ilija Radosavovic; Rahul Ravishankar; Yossi Gandelsman; Christoph Feichtenhofer; Jitendra Malik (CoRR, 2025)

Poly-Autoregressive Prediction for Modeling Interactions. - Neerja Thakkar; Tara Sadjadpour; Jathushan Rajasegaran; Shiry Ginosar; Jitendra Malik (CoRR, 2025)

Perception Encoder: The best visual embeddings are not at the output of the network. - Daniel Bolya; Po-Yao Huang 001; Peize Sun; Jang Hyun Cho; Andrea Madotto; Chen Wei 005; Tengyu Ma 005; Jiale Zhi; Jathushan Rajasegaran; Hanoona Rasheed; Junke Wang; Marco Monteiro; et al. (CoRR, 2025)