Saikat Basu
Saikat Basu
Research Scientist, Facebook Maps
Verified email at - Homepage
Cited by
Cited by
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
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
Learning Sparse Feature Representations using Probabilistic Quadtrees and Deep Belief Nets
S Basu, M Karki, S Ganguly, R DiBiano, S Mukhopadhyay, R Nemani
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
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
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
From satellite imagery to disaster insights
J Doshi, S Basu, G Pang
arXiv preprint arXiv:1812.07033, 2018
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
Self-Supervised Feature Learning for Semantic Segmentation of Overhead Imagery.
S Singh, A Batra, G Pang, L Torresani, S Basu, M Paluri, CV Jawahar
BMVC 1 (2), 4, 2018
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
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
Sender-side public key deniable encryption scheme
J Howlader, S Basu
2009 International Conference on Advances in Recent Technologies in …, 2009
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
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 Photogrammetry, Remote Sensing and Spatial …, 2015
A new parallel window-based implementation of the elliptic curve point multiplication in multi-core architectures
S Basu
Group 16 (4a3), 27b2, 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
Core sampling framework for pixel classification
M Karki, R DiBiano, S Basu, S Mukhopadhyay
International Conference on Artificial Neural Networks, 617-625, 2017
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
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
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
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