ClamNet: Using contrastive learning with variable depth Unets for medical image segmentation. - Samayan Bhattacharya; Sk Shahnawaz; Avigyan Bhattacharya (CoRR, 2022)

Generating Synthetic Computed Tomography (CT) Images to Improve the Performance of Machine Learning Model for Pediatric Abdominal Anomaly Detection. - Samayan Bhattacharya; Avigyan Bhattacharya; Sk Shahnawaz (ICCV (Workshops), 2023)

C-SAW: Self-Supervised Prompt Learning for Image Generalization in Remote Sensing. - Avigyan Bhattacharya; Mainak Singha; Ankit Jha; Biplab Banerjee (ICVGIP, 2023)

JUVDsi v1: developing and benchmarking a new still image database in Indian scenario for automatic vehicle detection. - Avirup Bhattacharyya; Avigyan Bhattacharya; Sourajit Maity; Pawan Kumar Singh; Ram Sarkar (Multim. Tools Appl., 2023)

Enhancing the Domain Robustness of Self-Supervised pre-Training with Synthetic Images. - Mohamad Hassan N C; Avigyan Bhattacharya; Victor G. Turrisi da Costa; Biplab Banerjee; Elisa Ricci 001 (ICASSP, 2024)

Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization. - Prathmesh Bele; Valay Bundele; Avigyan Bhattacharya; Ankit Jha; Gemma Roig; Biplab Banerjee (WACV, 2024)

Towards a crowdsourced framework for online hate speech moderation - a case study in the Indian political scenario. - Avigyan Bhattacharya; Tapabrata Chakraborti; Subhadip Basu; Alistair Knott; Dino Pedreschi; Raja G. Chatila; Susan Leavy; David M. Eyers; Paul D. Teal; Przemyslaw Biecek (WebSci (Companion), 2024)

RS3Lip: Consistency for remote sensing image classification on part embeddings using self-supervised learning and CLIP. - Ankit Jha; Mainak Singha; Avigyan Bhattacharya; Biplab Banerjee (Comput. Vis. Image Underst., 2025)

RayFronts: Open-Set Semantic Ray Frontiers for Online Scene Understanding and Exploration. - Omar Alama; Avigyan Bhattacharya; Haoyang He; Seungchan Kim; Yuheng Qiu; Wenshan Wang; Cherie Ho; Nikhil Varma Keetha; Sebastian A. Scherer (CoRR, 2025)