22 citations · 34 across the 14 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.MA2022★ 4 cited
CTRMs: Learning to Construct Cooperative Timed Roadmaps for Multi-agent Path Planning in Continuous Spaces
Keisuke Okumura, Ryo Yonetani, Mai Nishimura +1
Multi-agent path planning (MAPP) in continuous spaces is a challenging problem with significant practical importance. One promising approach is to first construct graphs approximat…