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Conference and Workshop Papers
- 2023
[c5]Daria Reshetova
, Swetava Ganguli, C. V. Krishnakumar Iyer, Vipul Pandey:
SeMAnD: Self-Supervised Anomaly Detection in Multimodal Geospatial Datasets. SIGSPATIAL/GIS 2023: 61:1-61:4- [c4]Yi Cao, Swetava Ganguli, Vipul Pandey:
Self-Supervised Temporal Analysis of Spatiotemporal Data. IGARSS 2023: 4856-4859 - 2022
- [c3]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: 44-53 - 2021
- [c2]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: 33-42 - 2020
- [c1]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: 1:1-1:10
Informal and Other Publications
- 2024
- [i8]Yi Cao, Swetava Ganguli, Vipul Pandey:
Temporal Embeddings: Scalable Self-Supervised Temporal Representation Learning from Spatiotemporal Data for Multimodal Computer Vision. CoRR abs/2401.08581 (2024) - 2023
- [i7]Yi Cao, Swetava Ganguli, Vipul Pandey:
Self-Supervised Temporal Analysis of Spatiotemporal Data. CoRR abs/2304.13143 (2023) - [i6]Daria Reshetova, Swetava Ganguli, C. V. Krishnakumar Iyer, Vipul Pandey:
SeMAnD: Self-Supervised Anomaly Detection in Multimodal Geospatial Datasets. CoRR abs/2309.15245 (2023) - 2022
- [i5]Swetava Ganguli, C. V. Krishnakumar Iyer, Vipul Pandey:
Scalable Self-Supervised Representation Learning from Spatiotemporal Motion Trajectories for Multimodal Computer Vision. CoRR abs/2210.03289 (2022) - 2021
- [i4]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 abs/2106.11756 (2021) - [i3]Xuerong Xiao, Swetava Ganguli, Vipul Pandey:
Conditional Generation of Synthetic Geospatial Images from Pixel-level and Feature-level Inputs. CoRR abs/2109.05201 (2021) - [i2]Swetava Ganguli, C. V. Krishnakumar Iyer, Vipul Pandey:
Reachability Embeddings: Scalable Self-Supervised Representation Learning from Markovian Trajectories for Geospatial Computer Vision. CoRR abs/2110.12521 (2021) - 2020
- [i1]Xuerong Xiao, Swetava Ganguli, Vipul Pandey:
VAE-Info-cGAN: Generating Synthetic Images by Combining Pixel-level and Feature-level Geospatial Conditional Inputs. CoRR abs/2012.04196 (2020)
Coauthor Index
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