Deep Chakraborty

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Erik Learned-MillerProfessor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
Debasmita GhosePh.D. Candidate, Yale UniversityVerified email at yale.edu
Madalina FiterauAssistant Professor, University of Massachusetts, AmherstVerified email at cs.stanford.edu
Aruni RoyChowdhuryComputer Vision, MathWorks Inc.Verified email at cs.umass.edu
SouYoung JinDartmouth CollegeVerified email at dartmouth.edu
Ashish SinghPhD Student, Computer Science, University of Massachusetts, AmherstVerified email at cs.umass.edu
Jian GaoNew York UniversityVerified email at nyu.edu
Padmanabhan RajanIndian Institute of Technology MandiVerified email at iitmandi.ac.in
Mario ParenteAssociate Professor of Electrical and Computer Engineering, University of Massachusetts AmherstVerified email at ecs.umass.edu
Tim G. J. RudnerFaculty Fellow, New York UniversityVerified email at nyu.edu
Yann LeCunChief AI Scientist at Facebook & Silver Professor at the Courant Institute, New York UniversityVerified email at cs.nyu.edu

Deep Chakraborty

Ph.D. candidate in Computer Science, UMass Amherst

Verified email at umass.edu - Homepage

Machine Learning Deep Learning Computer Vision Speech Processing


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Pedestrian detection in thermal images using saliency maps D Ghose, SM Desai, S Bhattacharya, D Chakraborty, M Fiterau, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	119	2019
Unsupervised hard example mining from videos for improved object detection SY Jin, A RoyChowdhury, H Jiang, A Singh, A Prasad, D Chakraborty, ... Proceedings of the European Conference on Computer Vision (ECCV), 307-324, 2018	83	2018
Nonparallel emotional speech conversion J Gao, D Chakraborty, H Tembine, O Olaleye 20th Annual Conference of the International Speech Communication Association …, 2019	82	2019
Bird call identification using dynamic kernel based support vector machines and deep neural networks D Chakraborty, P Mukker, P Rajan, AD Dileep 2016 15th IEEE international conference on machine learning and applications …, 2016	35	2016
Self-supervised learning to guide scientifically relevant categorization of martian terrain images T Panambur, D Chakraborty, M Meyer, R Milliken, E Learned-Miller, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	16	2022
Improving Pre-Trained Self-Supervised Embeddings Through Effective Entropy Maximization D Chakraborty, Y LeCun, TGJ Rudner, E Learned-Miller arXiv preprint arXiv:2411.15931, 2024		2024
Squeezing Water from a Stone: Improving Pre-Trained Self-Supervised Embeddings Through Effective Entropy Maximization D Chakraborty, TGJ Rudner, E Learned-Miller

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