activity
20192022
most citedCTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces

4 citations · 7 across the 3 of their papers we have counts for

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cs.CV2022

ViewBirdiformer: Learning to recover ground-plane crowd trajectories and ego-motion from a single ego-centric view

Mai Nishimura, Shohei Nobuhara, Ko Nishino

We introduce a novel learning-based method for view birdification, the task of recovering ground-plane trajectories of pedestrians of a crowd and their observer in the same crowd j…

cs.CV2019★ 3 cited

Crowd Density Forecasting by Modeling Patch-based Dynamics

Hiroaki Minoura, Ryo Yonetani, Mai Nishimura +1

Forecasting human activities observed in videos is a long-standing challenge in computer vision, which leads to various real-world applications such as mobile robots, autonomous dr…