142 citations · 220 across the 8 of their papers we have counts for
8 papers
OmniSLAM: Omnidirectional Localization and Dense Mapping for Wide-baseline Multi-camera Systems
Changhee Won, Hochang Seok, Zhaopeng Cui +2
In this paper, we present an omnidirectional localization and dense mapping system for a wide-baseline multiview stereo setup with ultra-wide field-of-view (FOV) fisheye cameras, w…
Collaborative Training of Balanced Random Forests for Open Set Domain Adaptation
Jongbin Ryu, Jiun Bae, Jongwoo Lim
In this paper, we introduce a collaborative training algorithm of balanced random forests with convolutional neural networks for domain adaptation tasks. In real scenarios, most do…
OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching
Changhee Won, Jongbin Ryu, Jongwoo Lim
In this paper, we propose a novel end-to-end deep neural network model for omnidirectional depth estimation from a wide-baseline multi-view stereo setup. The images captured with u…
ROVO: Robust Omnidirectional Visual Odometry for Wide-baseline Wide-FOV Camera Systems
Hochang Seok, Jongwoo Lim
In this paper we propose a robust visual odometry system for a wide-baseline camera rig with wide field-of-view (FOV) fisheye lenses, which provides full omnidirectional stereo obs…
SweepNet: Wide-baseline Omnidirectional Depth Estimation
Changhee Won, Jongbin Ryu, Jongwoo Lim
Omnidirectional depth sensing has its advantage over the conventional stereo systems since it enables us to recognize the objects of interest in all directions without any blind re…
Tracking Persons-of-Interest via Unsupervised Representation Adaptation
Shun Zhang, Jia-Bin Huang, Jongwoo Lim +4
Multi-face tracking in unconstrained videos is a challenging problem as faces of one person often appear drastically different in multiple shots due to significant variations in sc…