| Deepglobe 2018: A challenge to parse the earth through satellite images I Demir, K Koperski, D Lindenbaum, G Pang, J Huang, S Basu, F Hughes, ... Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 1108 | 2018 |
| Deepsat: a learning framework for satellite imagery S Basu, S Ganguly, S Mukhopadhyay, R DiBiano, M Karki, R Nemani Proceedings of the 23rd SIGSPATIAL international conference on advances in …, 2015 | 457 | 2015 |
| Improved road connectivity by joint learning of orientation and segmentation A Batra, S Singh, G Pang, S Basu, CV Jawahar, M Paluri Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 228 | 2019 |
| Deep neural networks for texture classification—A theoretical analysis S Basu, S Mukhopadhyay, M Karki, R DiBiano, S Ganguly, R Nemani, ... Neural Networks 97, 173-182, 2018 | 106 | 2018 |
| Learning Sparse Feature Representations using Probabilistic Quadtrees and Deep Belief Nets S Basu, M Karki, S Ganguly, R DiBiano, S Mukhopadhyay, R Nemani | 100 | 2015 |
| From satellite imagery to disaster insights J Doshi, S Basu, G Pang arXiv preprint arXiv:1812.07033, 2018 | 94 | 2018 |
| Self-supervised feature learning for semantic segmentation of overhead imagery S Singh, A Batra, G PANG, L Torresani, S Basu, M Paluri, CV Jawahar BMVA Press, 2018 | 82 | 2018 |
| Deploying a quantum annealing processor to detect tree cover in aerial imagery of California E Boyda, S Basu, S Ganguly, A Michaelis, S Mukhopadhyay, RR Nemani PloS one 12 (2), e0172505, 2017 | 79 | 2017 |
| Deepsat v2: feature augmented convolutional neural nets for satellite image classification Q Liu, S Basu, S Ganguly, S Mukhopadhyay, R DiBiano, M Karki, ... Remote Sensing Letters 11 (2), 156-165, 2020 | 63 | 2020 |
| Building high resolution maps for humanitarian aid and development with weakly-and semi-supervised learning D Bonafilia, J Gill, S Basu, D Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 53 | 2019 |
| A Semiautomated Probabilistic Framework for Tree-Cover Delineation From 1-m NAIP Imagery Using a High-Performance Computing Architecture S Basu, S Ganguly, RR Nemani, S Mukhopadhyay, G Zhang, C Milesi, ... IEEE, 2015 | 53 | 2015 |
| A theoretical analysis of deep neural networks for texture classification S Basu, M Karki, S Mukhopadhyay, S Ganguly, R Nemani, R DiBiano, ... 2016 international joint conference on neural networks (IJCNN), 992-999, 2016 | 40 | 2016 |
| Sender-side public key deniable encryption scheme J Howlader, S Basu 2009 International Conference on Advances in Recent Technologies in …, 2009 | 25 | 2009 |
| Multi-sensor multi-resolution image fusion for improved vegetation and urban area classification U Kumar, C Milesi, RR Nemani, S Basu The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2015 | 21 | 2015 |
| A new parallel window-based implementation of the elliptic curve point multiplication in multi-core architectures S Basu Group 16 (4a3), 27b2, 2012 | 20 | 2012 |
| Uncoercibility in e-voting and eauctioning mechanisms using deniable encryption J Howlader, V Nair, S Basu, AK Mal International Journal of Network Security and Its Applications 3 (2), 97-109, 2011 | 17 | 2011 |
| Pixel-level reconstruction and classification for noisy handwritten bangla characters M Karki, Q Liu, R DiBiano, S Basu, S Mukhopadhyay 2018 16th International Conference on Frontiers in Handwriting Recognition …, 2018 | 14 | 2018 |
| Core sampling framework for pixel classification M Karki, R DiBiano, S Basu, S Mukhopadhyay International Conference on Artificial Neural Networks, 617-625, 2017 | 10 | 2017 |
| Application of the metabolic scaling theory and water–energy balance equation to model large‐scale patterns of maximum forest canopy height S Choi, CP Kempes, T Park, S Ganguly, W Wang, L Xu, S Basu, ... Global Ecology and Biogeography 25 (12), 1428-1442, 2016 | 9 | 2016 |
| OptCon: An adaptable SLA-aware consistency tuning framework for quorum-based stores S Sidhanta, W Golab, S Mukhopadhyay, S Basu 2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2016 | 9 | 2016 |
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