191 citations · 325 across the 13 of their papers we have counts for
15 papers
SiamEvent: Event-based Object Tracking via Edge-aware Similarity Learning with Siamese Networks
Yujeong Chae, Lin Wang, Kuk-Jin Yoon
Event cameras are novel sensors that perceive the per-pixel intensity changes and output asynchronous event streams, showing lots of advantages over traditional cameras, such as hi…
CoAug-MR: An MR-based Interactive Office Workstation Design System via Augmented Multi-Person Collaboration
Lin Wang, Kuk-Jin Yoon
Digital prototyping and evaluation using 3D modeling and digital human models are becoming more practical for customizing products to the preference of a user. However, the 3D mode…
Gyroscope-aided Relative Pose Estimation for Rolling Shutter Cameras
Chang-Ryeol Lee, Ju Hong Yoon, Min-Gyu Park +1
The rolling shutter camera has received great attention due to its low cost imaging capability, however, the estimation of relative pose between rolling shutter cameras still remai…
Event-based High Dynamic Range Image and Very High Frame Rate Video Generation using Conditional Generative Adversarial Networks
S. Mohammad Mostafavi I., Lin Wang, Yo-Sung Ho +1
Event cameras have a lot of advantages over traditional cameras, such as low latency, high temporal resolution, and high dynamic range. However, since the outputs of event cameras…
SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360 degree Images
Yeonkun Lee, Jaeseok Jeong, Jongseob Yun +2
Omni-directional cameras have many advantages overconventional cameras in that they have a much wider field-of-view (FOV). Accordingly, several approaches have beenproposed recentl…
Consistent Multiple Graph Matching with Multi-layer Random Walks Synchronization
Han-Mu Park, Kuk-Jin Yoon
We address the correspondence search problem among multiple graphs with complex properties while considering the matching consistency. We describe each pair of graphs by combining…
Inertial-aided Rolling Shutter Relative Pose Estimation
Chang-Ryeol Lee, Kuk-Jin Yoon
Relative pose estimation is a fundamental problem in computer vision and it has been studied for conventional global shutter cameras for decades. However, recently, a rolling shutt…
Distance-based Camera Network Topology Inference for Person Re-identification
Yeong-Jun Cho, Kuk-Jin Yoon
In this paper, we propose a novel distance-based camera network topology inference method for efficient person re-identification. To this end, we first calibrate each camera and es…
Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras
Yeong-Jun Cho, Su-A Kim, Jae-Han Park +2
Person re-identification is the task of recognizing or identifying a person across multiple views in multi-camera networks. Although there has been much progress in person re-ident…
PaMM: Pose-aware Multi-shot Matching for Improving Person Re-identification
Yeong-Jun Cho, Kuk-Jin Yoon
Person re-identification is the problem of recognizing people across different images or videos with non-overlapping views. Although there has been much progress in person re-ident…
Monocular Visual Odometry with a Rolling Shutter Camera
Chang-Ryeol Lee, Kuk-Jin Yoon
Rolling Shutter (RS) cameras have become popularized because of low-cost imaging capability. However, the RS cameras suffer from undesirable artifacts when the camera or the subjec…
Exploiting Multi-layer Graph Factorization for Multi-attributed Graph Matching
Han-Mu Park, Kuk-Jin Yoon
Multi-attributed graph matching is a problem of finding correspondences between two sets of data while considering their complex properties described in multiple attributes. Howeve…
Joint Layout Estimation and Global Multi-View Registration for Indoor Reconstruction
Jeong-Kyun Lee, Jae-Won Yea, Min-Gyu Park +1
In this paper, we propose a novel method to jointly solve scene layout estimation and global registration problems for accurate indoor 3D reconstruction. Given a sequence of range…
Automatic Content-aware Projection for 360° Videos
Yeong Won Kim, Dae-Yong Jo, Chang-Ryeol Lee +3
To watch 360° videos on normal 2D displays, we need to project the selected part of the 360° image onto the 2D display plane. In this paper, we propose a fully-automated framework…
Exploiting Feature Confidence for Forward Motion Estimation
Chang-Ryeol Lee, Kuk-Jin Yoon
Visual-Inertial Odometry (VIO) utilizes an Inertial Measurement Unit (IMU) to overcome the limitations of Visual Odometry (VO). However, the VIO for vehicles in large-scale outdoor…