2 citations · 5 across the 7 of their papers we have counts for
8 papers
DCGrasp: Distance-aware Controllable Grasp Generation
Hiroyasu Akada, Jesús Pérez, Emre Aksan +6
Generating 3D hand-object interactions is essential for applications in robotics, XR, and synthetic data generation, where flexible controllability and strong generalization to div…
E-3DPSM: A State Machine for Event-Based Egocentric 3D Human Pose Estimation
Mayur Deshmukh, Hiroyasu Akada, Helge Rhodin +2
Event cameras offer multiple advantages in monocular egocentric 3D human pose estimation from head-mounted devices, such as millisecond temporal resolution, high dynamic range, and…
Bring Your Rear Cameras for Egocentric 3D Human Pose Estimation
Hiroyasu Akada, Jian Wang, Vladislav Golyanik +1
Egocentric 3D human pose estimation has been actively studied using cameras installed in front of a head-mounted device (HMD). While frontal placement is the optimal and the only o…
EventEgo3D++: 3D Human Motion Capture from a Head-Mounted Event Camera
Christen Millerdurai, Hiroyasu Akada, Jian Wang +5
Monocular egocentric 3D human motion capture remains a significant challenge, particularly under conditions of low lighting and fast movements, which are common in head-mounted dev…
EventEgo3D: 3D Human Motion Capture from Egocentric Event Streams
Christen Millerdurai, Hiroyasu Akada, Jian Wang +3
Monocular egocentric 3D human motion capture is a challenging and actively researched problem. Existing methods use synchronously operating visual sensors (e.g. RGB cameras) and of…
3D Human Pose Perception from Egocentric Stereo Videos
Hiroyasu Akada, Jian Wang, Vladislav Golyanik +1
While head-mounted devices are becoming more compact, they provide egocentric views with significant self-occlusions of the device user. Hence, existing methods often fail to accur…
UnrealEgo: A New Dataset for Robust Egocentric 3D Human Motion Capture
Hiroyasu Akada, Jian Wang, Soshi Shimada +3
We present UnrealEgo, i.e., a new large-scale naturalistic dataset for egocentric 3D human pose estimation. UnrealEgo is based on an advanced concept of eyeglasses equipped with tw…
Self-Supervised Learning of Domain Invariant Features for Depth Estimation
Hiroyasu Akada, Shariq Farooq Bhat, Ibraheem Alhashim +1
We tackle the problem of unsupervised synthetic-to-real domain adaptation for single image depth estimation. An essential building block of single image depth estimation is an enco…