9 citations · 28 across the 8 of their papers we have counts for
3 papers · 1 filter
Reachability Embeddings: Scalable Self-Supervised Representation Learning from Mobility Trajectories for Multimodal Geospatial Computer Vision
Swetava Ganguli, C. V. Krishnakumar Iyer, Vipul Pandey
Self-supervised representation learning techniques utilize large datasets without semantic annotations to learn meaningful, universal features that can be conveniently transferred…
Conditional Generation of Synthetic Geospatial Images from Pixel-level and Feature-level Inputs
Xuerong Xiao, Swetava Ganguli, Vipul Pandey
Training robust supervised deep learning models for many geospatial applications of computer vision is difficult due to dearth of class-balanced and diverse training data. Converse…
Trinity: A No-Code AI platform for complex spatial datasets
C. V. Krishnakumar Iyer, Feili Hou, Henry Wang +4
We present a no-code Artificial Intelligence (AI) platform called Trinity with the main design goal of enabling both machine learning researchers and non-technical geospatial domai…