Paper Info
Title
NTIRE 2019 Challenge on Video Deblurring: Methods and Results
Abstract
This paper reviews the first NTIRE challenge on video deblurring (restoration of rich details and high frequency components from blurred video frames) with focus on the proposed solutions and results. A new REalistic and Diverse Scenes dataset (REDS) was employed. The challenge was divided into 2 tracks. Track 1 employed dynamic motion blurs while Track 2 had additional MPEG video compression artifacts. Each competition had 109 and 93 registered participants. Total 13 teams competed in the final testing phase. They gauge the state-of-the-art in video de blurring problem.
Year
DOI
Venue
2019
10.1109/CVPRW.2019.00249
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
DocType
ISSN
Citations 
Conference
2160-7508
2
PageRank 
References 
Authors
0.37
0
45
Name
Order
Citations
PageRank
Seungjun Nah140612.44
Radu Timofte21880118.45
Sungyong Baik363.12
Seokil Hong492.16
Gyeongsik Moon5172.97
Sanghyun Son63409.45
Kyoung Mu Lee73228153.84
Xintao Wang81449.14
Kelvin C. K. Chan920.37
Ke Yu10292.40
Chao Dong11206480.72
Chen Change Loy124484178.56
Yuchen Fan1333217.14
Jiahui Yu1426025.83
Ding Liu1561132.97
Thomas S. Huang16278152618.42
Hyeonjun Sim1751.07
Munchurl Kim1862.12
Dongwon Park19138.06
Jisoo Kim2020.37
Se Young Chun217218.18
Muhammad Haris22193.27
Shakhnarovich, Greg2317222.91
Norimichi Ukita2420.37
Syed Waqas Zamir25315.51
Aditya Arora26163.27
Salman Khan2720.37
Fahad Shahbaz Khan28162269.24
Ling Shao2920.37
Rahul Kumar Gupta3020.37
Vishal M. Chudasama3174.90
Heena Patel3253.19
Kishor P. Upla3375.58
Hongfei Fan3461.09
Guo Li3520.71
Yumei Zhang3620.37
Xiang Li3720.37
Wenjie Zhang3820.37
Qingwen He3920.71
Kuldeep Purohit40137.65
A. N. Rajagopalan41110692.02
Jeonghun Kim4220.37
Mohammad Tofighi43658.74
Tiantong Guo441067.20
Vishal Monga4567957.73