S
Subhasis Chaudhuri
Researcher at Indian Institute of Technology Bombay
Publications - 354
Citations - 9284
Subhasis Chaudhuri is an academic researcher from Indian Institute of Technology Bombay. The author has contributed to research in topics: Image restoration & Haptic technology. The author has an hindex of 44, co-authored 343 publications receiving 8437 citations. Previous affiliations of Subhasis Chaudhuri include Indian Institute of Technology Indore & Indian Institutes of Technology.
Papers
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Proceedings ArticleDOI
Batch Decorrelation for Active Metric Learning.
Priyadarshini Kumari,Ritesh Goru,Siddhartha Chaudhuri,Siddhartha Chaudhuri,Subhasis Chaudhuri +4 more
TL;DR: This work proposes a novel method to decorrelate batches of triplets, that jointly balances informativeness and diversity while decoupling the choice of heuristic for each criterion.
Journal ArticleDOI
Evaluation and progression analysis of pulmonary tuberculosis from digital chest radiographs.
S. Sarkar,Subhasis Chaudhuri +1 more
TL;DR: A method for automated evaluation and progression analysis of this disease by processing a sequence of digital chest radiographs and results of analysis of a number of tuberculous patients are given.
Book ChapterDOI
Does Just Noticeable Difference Depend on the Rate of Change of Kinesthetic Force Stimulus
Amit Bhardwaj,Subhasis Chaudhuri +1 more
TL;DR: This work designs an experimental set up where users are subjected to a continuous haptic force which starts increasing or decreasing from a fixed reference force value, and record the haptic responses and shows that the JND decreases for faster change in the stimulus.
Proceedings ArticleDOI
DeFraudNet:End2End Fingerprint Spoof Detection using Patch Level Attention
TL;DR: In this paper, a patch attention network is used for finding the most discriminative patches and also for network fusion, which significantly improves cross-sensor, cross-material and cross-dataset performance.
Journal ArticleDOI
Locating human faces in a cluttered scene
A. N. Rajagopalan,K. Sunil Kumar,Jayashree Karlekar,R. Manivasakan,Milind Patil,Uday B. Desai,P.G. Poonacha,Subhasis Chaudhuri +7 more
TL;DR: Two new schemes for finding human faces in a photograph using a distribution-based model approach and a hidden Markov model (HMM) based approach to the face-finding problem are presented.