9 citations · 10 across the 5 of their papers we have counts for
8 papers
Bag of Tricks for Domain Adaptive Multi-Object Tracking
Minseok Seo, Jeongwon Ryu, Kwangjin Yoon
In this paper, SIA_Track is presented which is developed by a research team from SI Analytics. The proposed method was built from pre-existing detector and tracker under the tracki…
An End-to-End Trainable Video Panoptic Segmentation Method usingTransformers
Jeongwon Ryu, Kwangjin Yoon
In this paper, we present an algorithm to tackle a video panoptic segmentation problem, a newly emerging area of research. The video panoptic segmentation is a task that unifies th…
Simple and Efficient Unpaired Real-world Super-Resolution using Image Statistics
Kwangjin Yoon
Learning super-resolution (SR) network without the paired low resolution (LR) and high resolution (HR) image is difficult because direct supervision through the corresponding HR co…
NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results
Kai Zhang, Shuhang Gu, Radu Timofte +60
This paper reviews the NTIRE 2020 challenge on perceptual extreme super-resolution with focus on proposed solutions and results. The challenge task was to super-resolve an input im…
Online Multi-Object Tracking Framework with the GMPHD Filter and Occlusion Group Management
Young-min Song, Kwangjin Yoon, Young-Chul Yoon +2
In this paper, we propose an efficient online multi-object tracking framework based on the GMPHD filter and occlusion group management scheme where the GMPHD filter utilizes hierar…
Online Multiple Pedestrians Tracking using Deep Temporal Appearance Matching Association
Young-Chul Yoon, Du Yong Kim, Young-min Song +2
In online multi-target tracking, modeling of appearance and geometric similarities between pedestrians visual scenes is of great importance. The higher dimension of inherent inform…