1 citations · 1 across the 3 of their papers we have counts for
5 papers
EgoReveal: Learning Active Vision and Object Manipulation under Partial Occlusions from Egocentric Demonstrations
Hiromu Kurihara, Kazutoshi Tanaka, Masashi Hatano +3
Learning from Demonstrations (LfD) enables robots to learn object manipulation directly from human demonstrations. In contrast to resource-intensive and labor-intensive teleoperati…
Map-Mono-Ego: Map-Grounded Global Human Pose Estimation from Monocular Egocentric Video
Hiroyuki Deguchi, Ryosuke Hori, Kotaro Amaya +3
Monocular egocentric human pose estimation is essential for ubiquitous activity monitoring. However, understanding the user's absolute location within the environment remains a cha…
Ground Reaction Inertial Poser: Physics-based Human Motion Capture from Sparse IMUs and Insole Pressure Sensors
Ryosuke Hori, Jyun-Ting Song, Zhengyi Luo +4
We propose Ground Reaction Inertial Poser (GRIP), a method that reconstructs physically plausible human motion using four wearable devices. Unlike conventional IMU-only approaches,…
Prime and Reach: Synthesising Body Motion for Gaze-Primed Object Reach
Masashi Hatano, Saptarshi Sinha, Jacob Chalk +3
Human motion generation is a challenging task that aims to create realistic motion imitating natural human behaviour. We focus on the well-studied behaviour of priming an object/lo…
The Invisible EgoHand: 3D Hand Forecasting through EgoBody Pose Estimation
Masashi Hatano, Zhifan Zhu, Hideo Saito +1
Forecasting hand motion and pose from an egocentric perspective is essential for understanding human intention. However, existing methods focus solely on predicting positions witho…