Deep Chakraborty

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 9

Top Topics

Top Venues

Publications

Tejas Panambur, Deep Chakraborty, Melissa Meyer, Ralph Milliken, Erik G. Learned-Miller, Mario Parente
Self-Supervised Learning to Guide Scientifically Relevant Categorization of Martian Terrain Images. CVPR Workshops (2022)
Tejas Panambur, Deep Chakraborty, Melissa Meyer, Ralph Milliken, Erik G. Learned-Miller, Mario Parente
Self-Supervised Learning to Guide Scientifically Relevant Categorization of Martian Terrain Images. CoRR (2022)
Debasmita Ghose, Shasvat Mukeshkumar Desai, Sneha Bhattacharya, Deep Chakraborty, Madalina Fiterau, Tauhidur Rahman
Pedestrian Detection in Thermal Images Using Saliency Maps. CVPR Workshops (2019)
Jian Gao, Deep Chakraborty, Hamidou Tembine, Olaitan Olaleye
Nonparallel Emotional Speech Conversion. INTERSPEECH (2019)
Debasmita Ghose, Shasvat Mukeshkumar Desai, Sneha Bhattacharya, Deep Chakraborty, Madalina Fiterau, Tauhidur Rahman
Pedestrian Detection in Thermal Images using Saliency Maps. CoRR (2019)
SouYoung Jin, Aruni RoyChowdhury, Huaizu Jiang, Ashish Singh, Aditya Prasad, Deep Chakraborty, Erik G. Learned-Miller
Unsupervised Hard Example Mining from Videos for Improved Object Detection. ECCV (13) (2018)
SouYoung Jin, Aruni RoyChowdhury, Huaizu Jiang, Ashish Singh, Aditya Prasad, Deep Chakraborty, Erik G. Learned-Miller
Unsupervised Hard Example Mining from Videos for Improved Object Detection. CoRR (2018)
Jian Gao, Deep Chakraborty, Hamidou Tembine, Olaitan Olaleye
Nonparallel Emotional Speech Conversion. CoRR (2018)
Deep Chakraborty, Paawan Mukker, Padmanabhan Rajan, Aroor Dinesh Dileep
Bird Call Identification Using Dynamic Kernel Based Support Vector Machines and Deep Neural Networks. ICMLA (2016)