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Swarnendu Ghosh
Swarnendu Ghosh
Program Head, CSE(AIML), IEM Kolkata, Erasmus Mundus Fellow (U.Evora), ME(CSE), Ph.D. Jad.Univ.
Verified email at iem.edu.in
Title
Cited by
Cited by
Year
Understanding deep learning techniques for image segmentation
S Ghosh, N Das, I Das, U Maulik
ACM Computing Surveys(CSUR) 52 (4), 2019
5182019
The journey of graph kernels through two decades
S Ghosh, N Das, T Gonçalves, P Quaresma, M Kundu
Computer Science Review 27, 88-111, 2018
1022018
Reshaping inputs for convolutional neural network: Some common and uncommon methods
S Ghosh, N Das, M Nasipuri
Pattern Recognition 93, 79-94, 2019
682019
Improved word-level handwritten indic script identification by integrating small convolutional neural networks
S Ukil, S Ghosh, SM Obaidullah, KC Santosh, K Roy, N Das
Neural Computing and Applications 32, 2829-2844, 2020
492020
SegFast-V2: Semantic image segmentation with less parameters in deep learning for autonomous driving
S Ghosh, A Pal, S Jaiswal, KC Santosh, N Das, M Nasipuri
International Journal of Machine Learning and Cybernetics, 1-10, 2019
442019
Deep learning models for medical imaging
KC Santosh, N Das, S Ghosh
Academic Press, 2021
392021
Deep learning for word-level handwritten Indic script identification
S Ukil, S Ghosh, SM Obaidullah, KC Santosh, K Roy, N Das
The 3rd International Conference on Recent Trends in Image Processing …, 2020
382020
Deep learning: a review
K Santosh, N Das, S Ghosh
Deep learning models for medical imaging, 29-63, 2022
322022
Handwritten indic character recognition using capsule networks
B Mandal, S Dubey, S Ghosh, R Sarkhel, N Das
2018 IEEE Applied Signal Processing Conference (ASPCON), 304-308, 2018
312018
Comparison of different graph distance metrics for semantic text based classification
N Das, S Ghosh, T Gonçalves, P Quaresma
Polibits, 51-58, 2014
232014
SegFast : A Faster SqueezeNet based Semantic Image Segmentation Technique using Depth-wise Separable Convolutions
A Pal, S Jaiswal, S Ghosh, N Das, M Nasipuri
11th Indian Conference on Computer Vision, Graphics and Image Processing …, 2018
222018
Two-phase Dynamic Routing for Micro and Macro-level Equivariance in Multi-Column Capsule Networks
B Mandal, R Sarkhel, S Ghosh, N Das, M Nasipuri
Pattern Recognition 109, 107595, 2020
122020
Using dynamic routing to extract intermediate features for developing scalable capsule networks
B Mandal, S Ghosh, R Sarkhel, N Das, M Nasipuri
Second International Conference on Advanced Computational and Communication …, 2019
122019
Combining multilevel contexts of superpixel using convolutional neural networks to perform natural scene labeling
A Das, S Ghosh, R Sarkhel, S Choudhuri, N Das, M Nasipuri
Recent Developments in Machine Learning and Data Analytics: IC3 2018, 297-306, 2019
122019
Using thermal intensities to build conditional random fields for object segmentation at night
A Dutta, B Mandal, S Ghosh, N Das
4th International Conference on Computational Intelligence and Networks …, 2020
102020
SynCGAN: Using learnable class specific priors to generate synthetic data for improving classier performance on cytological images
S Dey, S Das, S Ghosh, S Mitra, S Chakrabarty, N Das
7th National Conference on Computer Vision, Pattern Recognition, Image …, 2019
92019
GSD-Net: Compact Network for Pixel-level Graphical Symbol Detection
S Ghosh, P Shaw, N Das, KC Santosh
13th IAPR International Workshop on Graphics Recognition (GREC 2019), 2019
82019
Using graphs and semantic information to improve text classifiers
N Das, S Ghosh, T Gonçalves, P Quaresma
Advances in Natural Language Processing: 9th International Conference on NLP …, 2014
82014
Multi scale mirror connection based encoder decoder network for text localization
K Dutta, M Bal, A Basak, S Ghosh, N Das, M Kundu, M Nasipuri
Pattern Recognition Letters 135, 64-71, 2020
62020
Handwritten oriya digit recognition using maximum common subgraph based similarity measures
S Ghosh, N Das, M Kundu, M Nasipuri
Information Systems Design and Intelligent Applications: Proceedings of …, 2016
52016
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