Swetava Ganguli

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 18

Top Topics

Computer Vision

Top Venues

GeoAI@SIGSPATIAL

Publications

Yi Cao, Swetava Ganguli, Vipul Pandey
Temporal Embeddings: Scalable Self-Supervised Temporal Representation Learning from Spatiotemporal Data for Multimodal Computer Vision. CoRR (2024)
Yi Cao, Swetava Ganguli, Vipul Pandey
Self-Supervised Temporal Analysis of Spatiotemporal Data. IGARSS (2023)
Daria Reshetova, Swetava Ganguli, C. V. Krishnakumar Iyer, Vipul Pandey
SeMAnD: Self-Supervised Anomaly Detection in Multimodal Geospatial Datasets. SIGSPATIAL/GIS (2023)
Yi Cao, Swetava Ganguli, Vipul Pandey
Self-Supervised Temporal Analysis of Spatiotemporal Data. CoRR (2023)
Daria Reshetova, Swetava Ganguli, C. V. Krishnakumar Iyer, Vipul Pandey
SeMAnD: Self-Supervised Anomaly Detection in Multimodal Geospatial Datasets. CoRR (2023)
Swetava Ganguli, C. V. Krishnakumar Iyer, Vipul Pandey
Reachability Embeddings: Scalable Self-Supervised Representation Learning from Mobility Trajectories for Multimodal Geospatial Computer Vision. MDM (2022)
Swetava Ganguli, C. V. Krishnakumar Iyer, Vipul Pandey
Scalable Self-Supervised Representation Learning from Spatiotemporal Motion Trajectories for Multimodal Computer Vision. CoRR (2022)
C. V. Krishnakumar Iyer, Feili Hou, Henry Wang, Yonghong Wang, Kay Oh, Swetava Ganguli, Vipul Pandey
Trinity: A No-Code AI platform for complex spatial datasets. CoRR (2021)
Xuerong Xiao, Swetava Ganguli, Vipul Pandey
Conditional Generation of Synthetic Geospatial Images from Pixel-level and Feature-level Inputs. CoRR (2021)
C. V. Krishnakumar Iyer, Feili Hou, Henry Wang, Yonghong Wang, Kay Oh, Swetava Ganguli, Vipul Pandey
Trinity: A No-Code AI platform for complex spatial datasets. GeoAI@SIGSPATIAL (2021)
Swetava Ganguli, C. V. Krishnakumar Iyer, Vipul Pandey
Reachability Embeddings: Scalable Self-Supervised Representation Learning from Markovian Trajectories for Geospatial Computer Vision. CoRR (2021)
Xuerong Xiao, Swetava Ganguli, Vipul Pandey
VAE-Info-cGAN: Generating Synthetic Images by Combining Pixel-level and Feature-level Geospatial Conditional Inputs. CoRR (2020)
Xuerong Xiao, Swetava Ganguli, Vipul Pandey
VAE-Info-cGAN: generating synthetic images by combining pixel-level and feature-level geospatial conditional inputs. IWCTS@SIGSPATIAL (2020)
Swetava Ganguli, Jared Dunnmon, Darren Hau
Predicting Food Security Outcomes Using Convolutional Neural Networks (CNNs) for Satellite Tasking. CoRR (2019)
Swetava Ganguli, Pedro Garzon, Noa Glaser
GeoGAN: A Conditional GAN with Reconstruction and Style Loss to Generate Standard Layer of Maps from Satellite Images. CoRR (2019)
Jared Dunnmon, Swetava Ganguli, Darren Hau, Brooke E. Husic
Predicting US State-Level Agricultural Sentiment as a Measure of Food Security with Tweets from Farming Communities. CoRR (2019)
Anthony Perez, Swetava Ganguli, Stefano Ermon, George Azzari, Marshall Burke, David B. Lobell
Semi-Supervised Multitask Learning on Multispectral Satellite Images Using Wasserstein Generative Adversarial Networks (GANs) for Predicting Poverty. CoRR (2019)
Swetava Ganguli, Jared Dunnmon
Machine Learning for Better Models for Predicting Bond Prices. CoRR (2017)