D
Dongwon Park
Researcher at Ulsan National Institute of Science and Technology
Publications - 15
Citations - 634
Dongwon Park is an academic researcher from Ulsan National Institute of Science and Technology. The author has contributed to research in topics: Robotic arm & GRASP. The author has an hindex of 9, co-authored 15 publications receiving 280 citations. Previous affiliations of Dongwon Park include York University & Politehnica University of Timișoara.
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Proceedings ArticleDOI
NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results
Jianrui Cai,Shuhang Gu,Radu Timofte,Lei Zhang,Xiao Liu,Ding Yukang,Dongliang He,Chao Li,Yi Fu,Shilei Wen,Ruicheng Feng,Jinjin Gu,Yu Qiao,Chao Dong,Dongwon Park,Se Young Chun,Sanghoon Yoon,Junhyung Kwak,Donghee Son,Syed Waqas Zamir,Aditya Arora,Salman H. Khan,Fahad Shahbaz Khan,Ling Shao,Zhengping Wei,Lei Liu,Hong Cai,Darui Li,Fujie Gao,Zheng Hui,Xiumei Wang,Xinbo Gao,Guoan Cheng,Ai Matsune,Qiuyu Li,Leilei Zhu,Huaijuan Zang,Shu Zhan,Yajun Qiu,Ruxin wang,Jiawei Li,Yongcheng Jing,Mingli Song,Pengju Liu,Kai Zhang,Jingdong Liu,Jiye Liu,Hongzhi Zhang,Wangmeng Zuo,Wenyi Tang,Jing Liu,Youngjung Kim,Changyeop Shin,Minbeom Kim,Sungho Kim,Pablo Navarrete Michelini,Hanwen Liu,Dan Zhu,Xuan Xu,Xin Li,Furui Bai,Xiaopeng Sun,Lin Zha,Yuanfei Huang,Wen Lu,Yanpeng Cao,Du Chen,Zewei He,Sun Anshun,Siliang Tang,Fan Hongfei,Xiang Li,Li Guo,Zhang Wenjie,Zhang Yumei,Qingwen He,Jinghui Qin,Lishan Huang,Yukai Shi,Pengxu Wei,Wushao Wen,Liang Lin,Jun Yu,Guochen Xie,Mengyan Li,Rong Chen,Xiaotong Luo,Chen Hong,Yanyun Qu,Cuihua Li,Zhi-Song Liu,Li-Wen Wang,Chu-Tak Li,Can Zhao,Bowen Li,Chung-Chi Tsai,Shang-Chih Chuang,Joon-Hee Choi,Joon-Soo Kim,Xiaoyun Jiang,Ze Pan,Qunbo Lv,Zheng Tan,Peidong He +103 more
TL;DR: The 3rd NTIRE challenge on single-image super-resolution (restoration of rich details in a low-resolution image) is reviewed with a focus on proposed solutions and results and the state-of-the-art in real-world single image super- resolution.
Proceedings ArticleDOI
NTIRE 2019 Challenge on Real Image Denoising: Methods and Results
Abdelrahman Abdelhamed,Radu Timofte,Michael S. Brown,Songhyun Yu,Bumjun Park,Jechang Jeong,Seung-Won Jung,Dong-Wook Kim,Jae-Ryun Chung,Jiaming Liu,Yuzhi Wang,Chi-Hao Wu,Qin Xu,Chuan Wang,Shaofan Cai,Yifan Ding,Haoqiang Fan,Jue Wang,Kai Zhang,Wangmeng Zuo,Magauiya Zhussip,Dongwon Park,Shakarim Soltanayev,Se Young Chun,Zhiwei Xiong,Chang Chen,Muhammad Haris,Kazutoshi Akita,Tomoki Yoshida,Greg Shakhnarovich,Norimichi Ukita,Syed Waqas Zamir,Aditya Arora,Salman Khan,Fahad Shahbaz Khan,Ling Shao,Sung-Jea Ko,Dong-Pan Lim,Seung-Wook Kim,Seo-Won Ji,Sang-Won Lee,Wenyi Tang,Yuchen Fan,Yuqian Zhou,Ding Liu,Thomas S. Huang,Deyu Meng,Lei Zhang,Hongwei Yong,Yiyun Zhao,Pengliang Tang,Yue Lu,Raimondo Schettini,Simone Bianco,Simone Zini,Chi Li,Yang Wang,Zhiguo Cao +57 more
TL;DR: The proposed methods by the 15 teams represent the current state-of-the-art performance in image denoising targeting real noisy images.
Book ChapterDOI
Multi-Temporal Recurrent Neural Networks for Progressive Non-uniform Single Image Deblurring with Incremental Temporal Training
TL;DR: In this article, a multi-temporal (MT) approach is proposed to deblur the original image in low spatial scale first and then restore in high spatial scale using the result from lower spatial scale(s).
Posted Content
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training
TL;DR: This work proposes incremental temporal training with constructed MT level dataset from time-resolved dataset, develops novel MT-RNNs with recurrent feature maps, and investigates progressive single image deblurring over iterations.
Posted Content
Task-Aware Variational Adversarial Active Learning
TL;DR: The proposed methods exploit variational adversarial active learning (VAAL), that considered data distribution of both label and unlabeled pools, by incorporating learning loss prediction module and RankCGAN concept into VAAL by modeling loss prediction as a ranker.