Bird Call Identification Using Dynamic Kernel Based Support Vector Machines and Deep Neural Networks. - Deep Chakraborty; Paawan Mukker; Padmanabhan Rajan; Aroor Dinesh Dileep (ICMLA, 2016)

Unsupervised Hard Example Mining from Videos for Improved Object Detection. - SouYoung Jin; Aruni RoyChowdhury; Huaizu Jiang; Ashish Singh; Aditya Prasad; Deep Chakraborty; Erik G. Learned-Miller (ECCV (13), 2018)

Pedestrian Detection in Thermal Images Using Saliency Maps. - Debasmita Ghose; Shasvat Mukeshkumar Desai; Sneha Bhattacharya; Deep Chakraborty; Madalina Fiterau; Tauhidur Rahman (CVPR Workshops, 2019)

Nonparallel Emotional Speech Conversion. - Jian Gao 006; Deep Chakraborty; Hamidou Tembine; Olaitan Olaleye (INTERSPEECH, 2019)

Self-Supervised Learning to Guide Scientifically Relevant Categorization of Martian Terrain Images. - Tejas Panambur; Deep Chakraborty; Melissa Meyer; Ralph Milliken; Erik G. Learned-Miller; Mario Parente (CVPR Workshops, 2022)

Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization. - Deep Chakraborty; Yann LeCun; Tim G. J. Rudner; Erik G. Learned-Miller (AISTATS, 2025)

A Survey on Data Curation for Visual Contrastive Learning: Why Crafting Effective Positive and Negative Pairs Matters. - Shasvat Mukeshkumar Desai; Debasmita Ghose; Deep Chakraborty (CoRR, 2025)