3 papers
cs.CV2026
Action Motifs: Self-Supervised Hierarchical Representation of Human Body Movements
Genki Kinoshita, Shu Nakamura, Ryo Kawahara +3
Effective human behavior modeling requires a representation of the human body movement that capitalizes on its compositionality. We propose a hierarchical representation consisting…
cs.CV2026
REACH: Hand Pose Estimation from Room Corners
Shu Nakamura, Ryo Kawahara, Genki Kinoshita +4
We introduce a novel 3D hand pose estimator that can accurately recover the shape and pose of people's hands in a room from afar, typically from fixed cameras at room corners, in e…
cs.CV2024
Camera Height Doesn't Change: Unsupervised Training for Metric Monocular Road-Scene Depth Estimation
Genki Kinoshita, Ko Nishino
In this paper, we introduce a novel training method for making any monocular depth network learn absolute scale and estimate metric road-scene depth just from regular training data…