Deep Chakraborty

According to our database, Deep Chakraborty authored at least 8 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Radial-VCReg: More Informative Representation Learning Through Radial Gaussianization.

Yilun Kuang, Yash Dagade, Deep Chakraborty, Erik G. Learned-Miller, Randall Balestriero, Tim G. J. Rudner, Yann LeCun

CoRR, February, 2026

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, February, 2025

Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization.

Deep Chakraborty, Yann LeCun, Tim G. J. Rudner, Erik G. Learned-Miller

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2022

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2019

Nonparallel Emotional Speech Conversion.

Jian Gao, Deep Chakraborty, Hamidou Tembine, Olaitan Olaleye

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Pedestrian Detection in Thermal Images Using Saliency Maps.

Debasmita Ghose, Shasvat Mukeshkumar Desai, Sneha Bhattacharya, Deep Chakraborty, Madalina Fiterau, Tauhidur Rahman

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

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

Proceedings of the Computer Vision - ECCV 2018, 2018

2016

Bird Call Identification Using Dynamic Kernel Based Support Vector Machines and Deep Neural Networks.

Deep Chakraborty, Paawan Mukker, Padmanabhan Rajan, Aroor Dinesh Dileep

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016