Attribute-Controlled Traffic Data Augmentation Using Conditional Generative Models. - Amitangshu Mukherjee; Ameya Joshi; Soumik Sarkar; Chinmay Hegde (CVPR Workshops, 2019)

Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers. - Ameya Joshi; Amitangshu Mukherjee; Soumik Sarkar; Chinmay Hegde (ICCV, 2019)

Exploring Foveation and Saccade for Improved Weakly-Supervised Localization. - Timur Ibrayev; Manish Nagaraj; Amitangshu Mukherjee; Kaushik Roy 001 (Gaze Meets ML, 2023)

Towards Two-Stream Foveation-based Active Vision Learning. - Timur Ibrayev; Amitangshu Mukherjee; Sai Aparna Aketi; Kaushik Roy 001 (CoRR, 2024)

Encoding Hierarchical Information in Neural Networks Helps in Subpopulation Shift. - Amitangshu Mukherjee; Isha Garg; Kaushik Roy 001 (IEEE Trans. Artif. Intell., 2024)

Toward Two-Stream Foveation-Based Active Vision Learning. - Timur Ibrayev; Amitangshu Mukherjee; Sai Aparna Aketi; Kaushik Roy 001 (IEEE Trans. Cogn. Dev. Syst., 2024)

On Inherent Adversarial Robustness of Active Vision Systems. - Amitangshu Mukherjee; Timur Ibrayev; Kaushik Roy 001 (Trans. Mach. Learn. Res., 2025)