Search Results for author: Deep Chakraborty

Found 4 papers, 3 papers with code

Self-Supervised Learning to Guide Scientifically Relevant Categorization of Martian Terrain Images

1 code implementation21 Apr 2022 Tejas Panambur, Deep Chakraborty, Melissa Meyer, Ralph Milliken, Erik Learned-Miller, Mario Parente

Automatic terrain recognition in Mars rover images is an important problem not just for navigation, but for scientists interested in studying rock types, and by extension, conditions of the ancient Martian paleoclimate and habitability.

Self-Supervised Learning Texture Classification

Pedestrian Detection in Thermal Images using Saliency Maps

1 code implementation15 Apr 2019 Debasmita Ghose, Shasvat Mukeshkumar Desai, Sneha Bhattacharya, Deep Chakraborty, Madalina Fiterau, Tauhidur Rahman

Thermal images are mainly used to detect the presence of people at night or in bad lighting conditions, but perform poorly at daytime.

Pedestrian Detection RGB Salient Object Detection

Nonparallel Emotional Speech Conversion

1 code implementation3 Nov 2018 Jian Gao, Deep Chakraborty, Hamidou Tembine, Olaitan Olaleye

Emotion conversion is performed by extracting and recombining the content code of the source speech and the style code of the target emotion.

Style Transfer Translation

Unsupervised Hard Example Mining from Videos for Improved Object Detection

no code implementations ECCV 2018 SouYoung Jin, Aruni RoyChowdhury, Huaizu Jiang, Ashish Singh, Aditya Prasad, Deep Chakraborty, Erik Learned-Miller

In this work, we show how large numbers of hard negatives can be obtained {\em automatically} by analyzing the output of a trained detector on video sequences.

Face Detection object-detection +2

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