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Shivangi Srivastava
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Understanding urban landuse from the above and ground perspectives: A deep learning, multimodal solution
S Srivastava, JE Vargas-Munoz, D Tuia
Remote sensing of environment 228, 129-143, 2019
1262019
OpenStreetMap: Challenges and opportunities in machine learning and remote sensing
JE Vargas-Munoz, S Srivastava, D Tuia, AX Falcao
IEEE Geoscience and Remote Sensing Magazine 9 (1), 184-199, 2020
1082020
Land-use characterisation using Google Street View pictures and OpenStreetMap
S Srivastava, JEV Muņoz, S Lobry, D Tuia
Association of Geographic Information Laboratories in Europe, 2018
96*2018
Joint height estimation and semantic labeling of monocular aerial images with CNNs
S Srivastava, M Volpi, D Tuia
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017
882017
Fine-grained landuse characterization using ground-based pictures: a deep learning solution based on globally available data
S Srivastava, JEV Muņoz, S Lobry, D Tuia
International Journal of Geographical Information Science, 2018
792018
A novel approach for edge detection using antcolony otimization and fuzz derivative technique
OP Verma, M Hanmandll, P Kumar, S Srivastava
2009 IEEE international advance computing conference, 1206-1212, 2009
312009
Multilabel building functions classification from ground pictures using convolutional neural networks
S Srivastava, JE Vargas-Muņoz, D Swinkels, D Tuia
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on AI for …, 2018
272018
NSIT & IIITDWD@ HASOC 2020: Deep learning model for hate-speech identification in Indo-European languages.
R Raj, S Srivastava, S Saumya
FIRE (Working Notes), 161-167, 2020
202020
Adaptive compression-based lifelong learning
S Srivastava, M Berman, MB Blaschko, D Tuia
arXiv preprint arXiv:1907.09695, 2019
142019
A new benchmark based on recent advances in multispectral pansharpening: revisiting pansharpening with classical and emerging pansharpening methods
JE Vargas-Munoz, S Srivastava, D Tuia, AX Falcao
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE 9 (1), 184, 2021
32021
Probabilistic approach for autonomous navigation using stereo vision
P Kumar, N Kumari, S Srivastava
Software Technology And Engineering, 184-188, 2009
22009
Mapping of urban landuse and landcover with multiple sensors: Joining close and remote sensing with deep learning
S Srivastava
PQDT-Global, 2020
12020
Understanding urban landuse from the above and ground perspectives: A deep learning, multimodal solution
S Srivastava, JE Vargas-Muņoz, D Tuia
Remote Sensing of Environment 228, 129-143, 2019
2019
Deep learning based methods for building segmentation from remote sensing data
S Lobry, DM Gonzalez, JV Munoz, BA Kellenberger, S Srivastava, D Tuia
2018
Deep Learning based methods for remote sensing data
S Lobry, DM Gonzalez, JE Vargas-Muņoz, B Kellenberger, S Srivastava, ...
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