1 citations · 1 across the 1 of their papers we have counts for
6 papers
DAOVI: Distortion-Aware Omnidirectional Video Inpainting
Ryosuke Seshimo, Mariko Isogawa
Omnidirectional videos that capture the entire surroundings are employed in a variety of fields such as VR applications and remote sensing. However, their wide field of view often…
Event-based Egocentric Human Pose Estimation in Dynamic Environment
Wataru Ikeda, Masashi Hatano, Ryosei Hara +1
Estimating human pose using a front-facing egocentric camera is essential for applications such as sports motion analysis, VR/AR, and AI for wearable devices. However, many existin…
EventEgoHands: Event-based Egocentric 3D Hand Mesh Reconstruction
Ryosei Hara, Wataru Ikeda, Masashi Hatano +1
Reconstructing 3D hand mesh is challenging but an important task for human-computer interaction and AR/VR applications. In particular, RGB and/or depth cameras have been widely use…
Dense Depth from Event Focal Stack
Kenta Horikawa, Mariko Isogawa, Hideo Saito +1
We propose a method for dense depth estimation from an event stream generated when sweeping the focal plane of the driving lens attached to an event camera. In this method, a depth…
Acoustic-based 3D Human Pose Estimation Robust to Human Position
Yusuke Oumi, Yuto Shibata, Go Irie +3
This paper explores the problem of 3D human pose estimation from only low-level acoustic signals. The existing active acoustic sensing-based approach for 3D human pose estimation i…
Scapegoat Generation for Privacy Protection from Deepfake
Gido Kato, Yoshihiro Fukuhara, Mariko Isogawa +3
To protect privacy and prevent malicious use of deepfake, current studies propose methods that interfere with the generation process, such as detection and destruction approaches.…