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20212023
most citedScalable Self-Supervised Representation Learning from Spatiotemporal Motion Trajectories for Multimodal Computer Vision

6 citations · 18 across the 4 of their papers we have counts for

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2 papers · 1 filter

cs.CV2021★ 6 cited

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…

cs.SE2021★ 3 cited

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…