| Understanding deep learning techniques for image segmentation S Ghosh, N Das, I Das, U Maulik ACM Computing Surveys(CSUR) 52 (4), 2019 | 518 | 2019 |
| 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 | 103 | 2018 |
| Reshaping inputs for convolutional neural network: Some common and uncommon methods S Ghosh, N Das, M Nasipuri Pattern Recognition 93, 79-94, 2019 | 68 | 2019 |
| 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 | 49 | 2020 |
| 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 | 44 | 2019 |
| Deep learning models for medical imaging KC Santosh, N Das, S Ghosh Academic Press, 2021 | 39 | 2021 |
| 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 | 38 | 2020 |
| Deep learning: a review K Santosh, N Das, S Ghosh Deep learning models for medical imaging, 29-63, 2022 | 34 | 2022 |
| 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 | 31 | 2018 |
| Comparison of different graph distance metrics for semantic text based classification N Das, S Ghosh, T Gonçalves, P Quaresma Polibits, 51-58, 2014 | 23 | 2014 |
| 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 | 22 | 2018 |
| 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 | 12 | 2020 |
| 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 | 12 | 2019 |
| 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 | 12 | 2019 |
| 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 | 10 | 2020 |
| 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 | 9 | 2019 |
| 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 | 8 | 2019 |
| 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 | 8 | 2014 |
| 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 | 6 | 2020 |
| 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 | 5 | 2016 |
Nibaran DasProfessor, Dept. of CSE, Jadavpur University在 jadavpuruniversity.in 的電子郵件地址已通過驗證
