1 citations · 2 across the 5 of their papers we have counts for
6 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…
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…
EMAG: Ego-motion Aware and Generalizable 2D Hand Forecasting from Egocentric Videos
Masashi Hatano, Ryo Hachiuma, Hideo Saito
Predicting future human behavior from egocentric videos is a challenging but critical task for human intention understanding. Existing methods for forecasting 2D hand positions rel…
Multimodal Cross-Domain Few-Shot Learning for Egocentric Action Recognition
Masashi Hatano, Ryo Hachiuma, Ryo Fujii +1
We address a novel cross-domain few-shot learning task (CD-FSL) with multimodal input and unlabeled target data for egocentric action recognition. This paper simultaneously tackles…
EgoSurgery-Phase: A Dataset of Surgical Phase Recognition from Egocentric Open Surgery Videos
Ryo Fujii, Masashi Hatano, Hideo Saito +1
Surgical phase recognition has gained significant attention due to its potential to offer solutions to numerous demands of the modern operating room. However, most existing methods…