Swetava Ganguli
Orcid: 0000-0002-7392-4867
According to our database1,
Swetava Ganguli
authored at least 14 papers
between 2017 and 2024.
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Bibliography
2024
Temporal Embeddings: Scalable Self-Supervised Temporal Representation Learning from Spatiotemporal Data for Multimodal Computer Vision.
CoRR, 2024
2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023
2022
Scalable Self-Supervised Representation Learning from Spatiotemporal Motion Trajectories for Multimodal Computer Vision.
CoRR, 2022
Reachability Embeddings: Scalable Self-Supervised Representation Learning from Mobility Trajectories for Multimodal Geospatial Computer Vision.
Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022
2021
Reachability Embeddings: Scalable Self-Supervised Representation Learning from Markovian Trajectories for Geospatial Computer Vision.
CoRR, 2021
Conditional Generation of Synthetic Geospatial Images from Pixel-level and Feature-level Inputs.
CoRR, 2021
Proceedings of the GeoAI@SIGSPATIAL 2021: Proceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2021
2020
VAE-Info-cGAN: generating synthetic images by combining pixel-level and feature-level geospatial conditional inputs.
Proceedings of the IWCTS@SIGSPATIAL 2020: Proceedings of the 13th ACM SIGSPATIAL International Workshop on Computational Transportation Science, 2020
2019
Semi-Supervised Multitask Learning on Multispectral Satellite Images Using Wasserstein Generative Adversarial Networks (GANs) for Predicting Poverty.
CoRR, 2019
Predicting US State-Level Agricultural Sentiment as a Measure of Food Security with Tweets from Farming Communities.
CoRR, 2019
GeoGAN: A Conditional GAN with Reconstruction and Style Loss to Generate Standard Layer of Maps from Satellite Images.
CoRR, 2019
Predicting Food Security Outcomes Using Convolutional Neural Networks (CNNs) for Satellite Tasking.
CoRR, 2019
2017