30 citations · 32 across the 6 of their papers we have counts for
4 papers · 1 filter
Self-supervised Learning of 3D Object Understanding by Data Association and Landmark Estimation for Image Sequence
Hyeonwoo Yu, Jean Oh
In this paper, we propose a self-supervised learningmethod for multi-object pose estimation. 3D object under-standing from 2D image is a challenging task that infers ad-ditional di…
Domain Adaptive Monocular Depth Estimation With Semantic Information
Fei Lu, Hyeonwoo Yu, Jean Oh
The advent of deep learning has brought an impressive advance to monocular depth estimation, e.g., supervised monocular depth estimation has been thoroughly investigated. However,…
Anchor Distance for 3D Multi-Object Distance Estimation from 2D Single Shot
Hyeonwoo Yu, Jean Oh
Visual perception of the objects in a 3D environment is a key to successful performance in autonomous driving and simultaneous localization and mapping (SLAM). In this paper, we pr…
Anytime 3D Object Reconstruction using Multi-modal Variational Autoencoder
Hyeonwoo Yu, Jean Oh
For effective human-robot teaming, it is important for the robots to be able to share their visual perception with the human operators. In a harsh remote collaboration setting, dat…