Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement (Student Abstract). - Prateek Garg; Murari Mandal; Pratik Narang (AAAI, 2021)

Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement. - Prateek Garg; Murari Mandal; Pratik Narang (CoRR, 2021)

ISDNet: AI-enabled Instance Segmentation of Aerial Scenes for Smart Cities. - Prateek Garg; Anirudh Srinivasan Chakravarthy; Murari Mandal; Pratik Narang; Vinay Chamola; Mohsen Guizani (ACM Trans. Internet Techn., 2021)

Revisiting RCAN: Improved Training for Image Super-Resolution. - Zudi Lin; Prateek Garg; Atmadeep Banerjee; Salma Abdel Magid; Deqing Sun; Yulun Zhang 001; Luc Van Gool; Donglai Wei 001; Hanspeter Pfister (CoRR, 2022)

Nighttime Dehaze-Enhancement. - Harshan Baskar; Anirudh SSrinivasanChakravarthy; Prateek Garg; Divyam Goel; Abhijith S. Raj; Kshitij Kumar; Lakshya; Ravichandra Parvatham; V. Sushant; Bijay Kumar Rout (CoRR, 2022)

Utilizing Radiomic Feature Analysis For Automated MRI Keypoint Detection: Enhancing Graph Applications. - Sahar Almahfouz Nasser; Shashwat Pathak; Keshav Singhal; Mohit Meena; Nihar Gupte; Ananya Chinmaya; Prateek Garg; Amit Sethi (CoRR, 2023)

Speeding up NAS with Adaptive Subset Selection. - Vishak Prasad C.; Colin White; Sibasis Nayak; Paarth Jain; Aziz Shameem; Prateek Garg; Ganesh Ramakrishnan (AutoML, 2024)

Utilizing Radiomic Features for Automated MRI Keypoint Detection: Enhancing Graph Applications. - Sahar Almahfouz Nasser; Shashwat Pathak; Keshav Singhal; Mohit Meena; Nihar Gupte; Ananya Chinmaya; Prateek Garg; Amit Sethi (BIOSTEC (1), 2024)

Analysis of Traffic Patterns and Optimization of Routing for Cognitive Radio Networks. - J. Jayashankari; Bharat Bhushan; Rekha M. M; Jayashree V. Bagade; K. Yuvaraj; Prateek Garg (ICCCNT, 2024)

Resource Discovery Model for Optimized Performance in P2P Communications. - Asha Rajiv; V. J. Vijayalakshmi; Saniya Khurana; Prateek Garg; Sonali Prashant Bhoite; K. K. Senthilkumar (ICCCNT, 2024)

Automated Classification of Indian Watermelon Varieties Using CNN-PCA: A Machine Learning Approach. - Rishabh Sharma; Prateek Garg (ICCCNT, 2024)

Evaluating the Effectiveness of Multi-Factor Authentication for Preventing Cyber Attacks. - D. Venkatasubramanian; Saumya Goyal; G. Ezhilarasan; Yogesh K. Sharma; V. J. Vijayalakshmi; Prateek Garg (ICCCNT, 2024)

From Search to Sampling: Generative Models for Robust Algorithmic Recourse. - Prateek Garg; Lokesh Nagalapatti; Sunita Sarawagi (ICLR, 2025)