Deep Chakraborty

According to our database, Deep Chakraborty authored at least 5 papers between 2016 and 2022.

Collaborative distances:

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

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 Interspeech 2019, 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