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Tapabrata Chakraborti
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Year
LOOP Descriptor: Local Optimal-Oriented Pattern
T Chakraborti, B McCane, S Mills, U Pal
IEEE Signal Processing Letters 25 (5), 635-639, 2018
98*2018
A self-adaptive matched filter for retinal blood vessel detection
T Chakraborti, DK Jha, AS Chowdhury, X Jiang
Machine Vision and Applications 26 (1), 55-68, 2015
902015
A novel binary adaptive weight GSA based feature selection for face recognition using local gradient patterns, modified census transform, and local binary patterns
T Chakraborti, A Chatterjee
Engineering Applications of Artificial Intelligence 33, 80-90, 2014
472014
A deep learning-shape driven level set synergism for pulmonary nodule segmentation
R Roy, T Chakraborti, AS Chowdhury
Pattern Recognition Letters 123, 31-38, 2019
312019
A novel local extrema based gravitational search algorithm and its application in face recognition using one training image per class
T Chakraborti, KD Sharma, A Chatterjee
Engineering Applications of Artificial Intelligence 34, 13-22, 2014
292014
Automated emotion recognition employing a novel modified binary quantum‐behaved gravitational search algorithm with differential mutation
T Chakraborti, A Chatterjee, A Halder, A Konar
Expert Systems 32 (4), 522-530, 2015
192015
Collaborative representation based fine-grained species recognition
T Chakraborti, B McCane, S Mills, U Pal
2016 International Conference on Image and Vision Computing New Zealand …, 2016
152016
A scale and rotation invariant scheme for multi-oriented character recognition
N Tripathy, T Chakraborti, M Nasipuri, U Pal
2016 23rd International Conference on Pattern Recognition (ICPR), 4041-4046, 2016
142016
CoCoNet: A Collaborative Convolutional Network applied to fine-grained bird species classification
T Chakraborti, B McCane, S Mills, U Pal
2020 35th International Conference on Image and Vision Computing New Zealand …, 2020
9*2020
A Generalised Formulation for Collaborative Representation of Image Patches (GP-CRC).
T Chakraborti, B McCane, S Mills, U Pal
BMVC, 2017
92017
Contrastive fairness in machine learning
T Chakraborti, A Patra, JA Noble
IEEE Letters of the Computer Society 3 (2), 38-41, 2020
72020
Fine-grained multi-instance classification in microscopy through deep attention
M Fan, T Chakraborti, I Eric, C Chang, Y Xu, J Rittscher
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 169-173, 2020
62020
Microscopic fine-grained instance classification through deep attention
M Fan, T Chakraborti, EI Chang, Y Xu, J Rittscher
International Conference on Medical Image Computing and Computer-Assisted …, 2020
32020
Exploring the correlation between deep learned and clinical features in melanoma detection
T Chowdhury, ARS Bajwa, T Chakraborti, J Rittscher, U Pal
Annual Conference on Medical Image Understanding and Analysis, 3-17, 2021
22021
PProCRC: Probabilistic Collaboration of Image Patches for Fine-grained Classification
T Chakraborti, B McCane, S Mills, U Pal
2020 35th International Conference on Image and Vision Computing New Zealand …, 2020
2*2020
Learn more, forget less: Cues from human brain
A Patra, T Chakraborti
Proceedings of the Asian Conference on Computer Vision, 2020
22020
A new roadmap for evaluating descriptive handwritten answer script
P Shivakumara, U Pal, T Lu, T Chakraborti, M Blumenstein
Frontiers in Pattern Recognition and Artificial Intelligence, 83-96, 2019
22019
Fuzzy and genetic algorithm based approach for classification of personality traits oriented social media images
K Biswas, P Shivakumara, U Pal, T Chakraborti, T Lu, MNB Ayub
Knowledge-Based Systems 241, 108024, 2022
12022
Learning Cellular Phenotypes through Supervision
H Theissen, T Chakraborti, S Malacrino, K Sirinukunwattana, D Royston, ...
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
12021
Contrastive representations for continual learning of fine-grained histology images
T Chakraborti, F Gleeson, J Rittscher
International Workshop on Machine Learning in Medical Imaging, 1-9, 2021
12021
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Articles 1–20