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2012.04196
Cited By
VAE-Info-cGAN: Generating Synthetic Images by Combining Pixel-level and Feature-level Geospatial Conditional Inputs
8 December 2020
Xuerong Xiao
Swetava Ganguli
Vipul Pandey
GAN
Re-assign community
ArXiv (abs)
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Papers citing
"VAE-Info-cGAN: Generating Synthetic Images by Combining Pixel-level and Feature-level Geospatial Conditional Inputs"
8 / 8 papers shown
Image compositing is all you need for data augmentation
Ang Jia Ning Shermaine
Michalis Lazarou
Tania Stathaki
462
3
0
20 Feb 2025
Temporal Embeddings: Scalable Self-Supervised Temporal Representation Learning from Spatiotemporal Data for Multimodal Computer Vision
Yi Cao
Swetava Ganguli
Vipul Pandey
AI4TS
202
0
0
16 Oct 2023
SeMAnD: Self-Supervised Anomaly Detection in Multimodal Geospatial Datasets
Daria Reshetova
Swetava Ganguli
C. V. K. Iyer
Vipul Pandey
235
4
0
26 Sep 2023
VOLTA: Improving Generative Diversity by Variational Mutual Information Maximizing Autoencoder
Yueen Ma
Dafeng Chi
Jingjing Li
Kai Song
Yuzheng Zhuang
Irwin King
DRL
348
2
0
03 Jul 2023
Coincidental Generation
Jordan W. Suchow
Necdet Gurkan
283
0
0
03 Apr 2023
Scalable Self-Supervised Representation Learning from Spatiotemporal Motion Trajectories for Multimodal Computer Vision
International Conference on Mobile Data Management (MDM), 2021
Swetava Ganguli
C. V. K. Iyer
Vipul Pandey
SSL
206
7
0
07 Oct 2022
Conditional Generation of Synthetic Geospatial Images from Pixel-level and Feature-level Inputs
Xuerong Xiao
Swetava Ganguli
Vipul Pandey
GAN
227
1
0
11 Sep 2021
Trinity: A No-Code AI platform for complex spatial datasets
C. V. K. Iyer
Feili Hou
Henry Wang
Yonghong Wang
Kay Oh
Swetava Ganguli
Vipul Pandey
SyDa
310
25
0
21 Jun 2021
1
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