Jathushan Rajasegaran

About Jathushan Rajasegaran

Jathushan Rajasegaran, With an exceptional h-index of 13 and a recent h-index of 12 (since 2020), a distinguished researcher at University of California, Berkeley, specializes in the field of Computer Vision, Deep learning, Neural Networks.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

Humanoid Locomotion as Next Token Prediction

Synthesizing Moving People with 3D Control

Humans in 4d: Reconstructing and tracking humans with transformers

On the benefits of 3D pose and tracking for human action recognition

Fully online meta-learning without task boundaries

Tracking People by Predicting 3D Appearance, Location & Pose

Incremental object detection via meta-learning

Jathushan Rajasegaran Information

University

Position

PhD student

Citations(all)

1081

Citations(since 2020)

1075

Cited By

224

hIndex(all)

13

hIndex(since 2020)

12

i10Index(all)

16

i10Index(since 2020)

16

Email

University Profile Page

Google Scholar

Jathushan Rajasegaran Skills & Research Interests

Computer Vision

Deep learning

Neural Networks

Top articles of Jathushan Rajasegaran

Title

Journal

Author(s)

Publication Date

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

arXiv preprint arXiv:2404.09991

Amir Bar

Arya Bakhtiar

Danny Tran

Antonio Loquercio

Jathushan Rajasegaran

...

2024/4/15

Humanoid Locomotion as Next Token Prediction

arXiv preprint arXiv:2402.19469

Ilija Radosavovic

Bike Zhang

Baifeng Shi

Jathushan Rajasegaran

Sarthak Kamat

...

2024/2/29

Synthesizing Moving People with 3D Control

arXiv preprint arXiv:2401.10889

Boyi Li

Jathushan Rajasegaran

Yossi Gandelsman

Alexei A Efros

Jitendra Malik

2024/1/19

Humans in 4d: Reconstructing and tracking humans with transformers

Shubham Goel

Georgios Pavlakos

Jathushan Rajasegaran

Angjoo Kanazawa

Jitendra Malik

2023

On the benefits of 3D pose and tracking for human action recognition

Jathushan Rajasegaran

Georgios Pavlakos

Angjoo Kanazawa

Christoph Feichtenhofer

Jitendra Malik

2023

Fully online meta-learning without task boundaries

arXiv preprint arXiv:2202.00263

Jathushan Rajasegaran

Chelsea Finn

Sergey Levine

2022/2/1

Tracking People by Predicting 3D Appearance, Location & Pose

Jathushan Rajasegaran

Georgios Pavlakos

Angjoo Kanazawa

Jitendra Malik

2022

Incremental object detection via meta-learning

IEEE Transactions on Pattern Analysis and Machine Intelligence

KJ Joseph

Jathushan Rajasegaran

Salman Khan

Fahad Shahbaz Khan

Vineeth N Balasubramanian

2021/11/2

Tracking people with 3D representations

arXiv preprint arXiv:2111.07868

Jathushan Rajasegaran

Georgios Pavlakos

Angjoo Kanazawa

Jitendra Malik

2021/11/15

itaml: An incremental task-agnostic meta-learning approach

Jathushan Rajasegaran

Salman Khan

Munawar Hayat

Fahad Shahbaz Khan

Mubarak Shah

2020

Meta-learning the learning trends shared across tasks

arXiv preprint arXiv:2010.09291

Jathushan Rajasegaran

Salman Khan

Munawar Hayat

Fahad Shahbaz Khan

Mubarak Shah

2020/10/19

Power control for body area networks: Accurate channel prediction by lightweight deep learning

IEEE Internet of Things Journal

Yizhou Yang

David Smith

Jathushan Rajasegaran

Suranga Seneviratne

2020/9/18

A multi-modal neural embeddings approach for detecting mobile counterfeit apps: A case study on Google Play store

IEEE Transactions on Mobile Computing

Naveen Karunanayake

Jathushan Rajasegaran

Ashanie Gunathillake

Suranga Seneviratne

Guillaume Jourjon

2020/7/6

Self-supervised knowledge distillation for few-shot learning

arXiv preprint arXiv:2006.09785

Jathushan Rajasegaran

Salman Khan

Munawar Hayat

Fahad Shahbaz Khan

Mubarak Shah

2020/6/17

See List of Professors in Jathushan Rajasegaran University(University of California, Berkeley)

Co-Authors

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