Double JPEG Compression Detection for Distinguishable Blocks in Images Compressed with Same Quantization Matrix. - Abhinav Narayan Harish; Vinay Verma; Nitin Khanna (MLSP, 2020)

RGL-NET: A Recurrent Graph Learning framework for Progressive Part Assembly. - Abhinav Narayan Harish; Rajendra Nagar; Shanmuganathan Raman (WACV, 2022)

A Graph Neural Network Approach for Temporal Mesh Blending and Correspondence. - Aalok Gangopadhyay; Abhinav Narayan Harish; Prajwal Singh; Shanmuganathan Raman (CoRR, 2023)

Reinforcement Learning via Auxiliary Task Distillation. - Abhinav Narayan Harish; Larry Heck; Josiah P. Hanna; Zsolt Kira; Andrew Szot (ECCV (81), 2024)

Reinforcement Learning Within the Classical Robotics Stack: A Case Study in Robot Soccer. - Adam Labiosa; Zhihan Wang; Siddhant Agarwal; William Cong; Geethika Hemkumar; Abhinav Narayan Harish; Benjamin Hong; Josh Kelle; Chen Li; Yuhao Li; Zisen Shao; Peter Stone 001; et al. (CoRR, 2024)