2 code implementations • 12 Apr 2024 • Christen Millerdurai, Hiroyasu Akada, Jian Wang, Diogo Luvizon, Christian Theobalt, Vladislav Golyanik
In response to the existing limitations, this paper 1) introduces a new problem, i. e., 3D human motion capture from an egocentric monocular event camera with a fisheye lens, and 2) proposes the first approach to it called EventEgo3D (EE3D).
no code implementations • 30 Dec 2023 • Hiroyasu Akada, Jian Wang, Vladislav Golyanik, Christian Theobalt
Hence, existing methods often fail to accurately estimate complex 3D poses from egocentric views.
Ranked #2 on Egocentric Pose Estimation on UnrealEgo
no code implementations • 2 Aug 2022 • Hiroyasu Akada, Jian Wang, Soshi Shimada, Masaki Takahashi, Christian Theobalt, Vladislav Golyanik
We present UnrealEgo, i. e., a new large-scale naturalistic dataset for egocentric 3D human pose estimation.
Ranked #4 on Egocentric Pose Estimation on UnrealEgo
no code implementations • 4 Jun 2021 • Hiroyasu Akada, Shariq Farooq Bhat, Ibraheem Alhashim, Peter Wonka
Specifically, we extend self-supervised learning from traditional representation learning, which works on images from a single domain, to domain invariant representation learning, which works on images from two different domains by utilizing an image-to-image translation network.