Search Results - "Yoon, Kwangjin"

Data Association for Multi-Object Tracking via Deep Neural Networks by Yoon, Kwangjin, Kim, Du Yong, Yoon, Young-Chul, Jeon, Moongu

“…With recent advances in object detection, the tracking-by-detection method has become mainstream for multi-object tracking in computer vision. The…”
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Online Multi-Object Tracking With GMPHD Filter and Occlusion Group Management by Song, Young-Min, Yoon, Kwangjin, Yoon, Young-Chul, Yow, Kin Choong, Jeon, Moongu

“…In this paper, we propose an efficient online multi-object tracking method based on the Gaussian mixture probability hypothesis density (GMPHD) filter and…”
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OneShotDA: Online Multi-Object Tracker With One-Shot-Learning-Based Data Association by Yoon, Kwangjin, Gwak, Jeonghwan, Song, Young-Min, Yoon, Young-Chul, Jeon, Moon-Gu

“…Tracking multiple objects in a video sequence can be accomplished by identifying the objects appearing in the sequence and distinguishing between them…”
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Multi-Object Tracking and Segmentation With Embedding Mask-Based Affinity Fusion in Hierarchical Data Association by Song, Young-Min, Yoon, Young-Chul, Yoon, Kwangjin, Jang, Hyunsung, Ha, Namkoo, Jeon, Moongu

“…In this paper, we propose a highly feasible fully online multi-object tracking and segmentation (MOTS) method that uses instance segmentation results as an…”
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Simple and Efficient Unpaired Real-world Super-Resolution using Image Statistics by Yoon, Kwangjin

“…Learning super-resolution (SR) network without the paired low resolution (LR) and high resolution (HR) image is difficult because direct supervision through…”
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Online multiple pedestrians tracking using deep temporal appearance matching association by Yoon, Young-Chul, Kim, Du Yong, Song, Young-Min, Yoon, Kwangjin, Jeon, Moongu

“…•Joint-inference network (JI-Net)-based online appearance modeling is proposed. Instead of utilizing conventional target-specific feature to model target…”
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Multiobject Tracking and Segmentation With Embedding Mask-Based Affinity Fusion in Hierarchical Data Association by Young-Min, Song, Young-Chul, Yoon, Yoon, Kwangjin, Jang, Hyunsung, Ha, Namkoo, Jeon, Moongu

“…In this paper, we propose a highly feasible fully online multi-object tracking and segmentation (MOTS) method that uses instance segmentation results as an…”
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Simple and Efficient Unpaired Real-world Super-Resolution using Image Statistics by Yoon, Kwangjin

“…Learning super-resolution (SR) network without the paired low resolution (LR) and high resolution (HR) image is difficult because direct supervision through…”
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Deep Learning-based Distortion Sensitivity Prediction for Full-Reference Image Quality Assessment by Ahn, Sewoong, Choi, Yeji, Yoon, Kwangjin

“…Previous full-reference image quality assessment methods aim to evaluate the quality of images impaired by traditional distortions such as JPEG, white noise,…”
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An End-to-End Trainable Video Panoptic Segmentation Method usingTransformers by Ryu, Jeongwon, Yoon, Kwangjin

“…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…”
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Online Multi-Object Tracking with Historical Appearance Matching and Scene Adaptive Detection Filtering by Yoon, Young-chul, Boragule, Abhijeet, Song, Young-min, Yoon, Kwangjin, Jeon, Moongu

“…In this paper, we propose the methods to handle temporal errors during multi-object tracking. Temporal error occurs when objects are occluded or noisy…”
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Bag of Tricks for Domain Adaptive Multi-Object Tracking by Seo, Minseok, Ryu, Jeongwon, Yoon, Kwangjin

“…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…”
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Learning Multiple Probabilistic Degradation Generators for Unsupervised Real World Image Super Resolution by Lee, Sangyun, Ahn, Sewoong, Yoon, Kwangjin

“…Unsupervised real world super resolution (USR) aims to restore high-resolution (HR) images given low-resolution (LR) inputs, and its difficulty stems from the…”
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Cluster programming for reverse time migration by Suh, Sang Yong, Yeh, Alex, Wang, Bin, Cai, Jun, Yoon, Kwangjin, Li, Zhiming

“…Reverse time migration (RTM) is well suited for imaging steep dips in areas with high velocity contrast. In order to image steep dips at the correct positions,…”
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3D reverse-time migration using the acoustic wave equation; an experience with the SEG/EAGE data set by Yoon, Kwangjin, Shin, Changsoo, Suh, Sangyong, Lines, Larry R, Hong, Soonduk

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NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results by Zhang, Kai, Gu, Shuhang, Timofte, Radu, Shang, Taizhang, Dai, Qiuju, Zhu, Shengchen, Yang, Tong, Guo, Yandong, Jo, Younghyun, Yang, Sejong, Kim, Seon Joo, Zha, Lin, Jiang, Jiande, Gao, Xinbo, Lu, Wen, Liu, Jing, Yoon, Kwangjin, Jeon, Taegyun, Akita, Kazutoshi, Ooba, Takeru, Ukita, Norimichi, Luo, Zhipeng, Yao, Yuehan, Xu, Zhenyu, He, Dongliang, Wu, Wenhao, Ding, Yukang, Li, Chao, Li, Fu, Wen, Shilei, Li, Jianwei, Yang, Fuzhi, Yang, Huan, Fu, Jianlong, Kim, Byung-Hoon, Baek, JaeHyun, Ye, Jong Chul, Fan, Yuchen, Huang, Thomas S., Lee, Junyeop, Lee, Bokyeung, Min, Jungki, Kim, Gwantae, Lee, Kanghyu, Park, Jaihyun, Mykhailych, Mykola, Zhong, Haoyu, Shi, Yukai, Yang, Xiaojun, Yang, Zhijing, Lin, Liang, Zhao, Tongtong, Peng, Jinjia, Wang, Huibing, Jin, Zhi, Wu, Jiahao, Chen, Yifu, Shang, Chenming, Zhang, Huanrong, Min, Jeongki, Hrishikesh, P.S., Puthussery, Densen, Jiji, C.V.

“…This paper reviews the NTIRE 2020 challenge on perceptual extreme super-resolution with focus on proposed solutions and results. The challenge task was to…”
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Multiple Hypothesis Tracking Algorithm for Multi-Target Multi-Camera Tracking with Disjoint Views by Yoon, Kwangjin, Song, Young-min, Jeon, Moongu

“…IET image processing, Volume: 12, Issue: 7, 7 2018 In this study, a multiple hypothesis tracking (MHT) algorithm for multi-target multi-camera tracking (MCT)…”
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Online Multi-Object Tracking Using Selective Deep Appearance Matching by Yoon, Young-Chul, Song, Young-Min, Yoon, Kwangjin, Jeon, Moongu

“…In this paper, we focus on designing appearance matching network and solving computational bottleneck problem of it. From the development of deep neural…”
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Multi target tracking using multiple independent particle filters for video surveillance by YoungJoon Chai, JinYong Park, KwangJin Yoon, TaeYong Kim

“…Tracking a group of targets in a video sequence is a common problem in many video surveillance applications. In this paper, multi target tracking method that…”
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Online Multi-Object Tracking and Segmentation with GMPHD Filter and Mask-based Affinity Fusion by Song, Young-min, Yoon, Young-chul, Yoon, Kwangjin, Jeon, Moongu, Lee, Seong-Whan, Pedrycz, Witold

“…In this paper, we propose a highly practical fully online multi-object tracking and segmentation (MOTS) method that uses instance segmentation results as an…”
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