CFP: CVPR 2020 New Trends in Image Restoration and Enhancement (NTIRE) workshop and challenges

February 20th, 2020 Daniela Lopez de Luise

Apologies for cross-posting

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CALL FOR PAPERS  & CALL FOR PARTICIPANTS IN 9 CHALLENGES
NTIRE: 5th New Trends in Image Restoration and Enhancement workshop and challenges on real world super-resolution, extreme SR,
 denoising, demoireing, deblurring, spectral reconstruction, quality mapping, nonhomogeneous dehazing
In conjunction with CVPR 2020, June 15, Seattle, USA.
TOPICS
● Image/video inpainting
● Image/video deblurring
● Image/video denoising
● Image/video upsampling and super-resolution
● Image/video filtering
● Image/video de-hazing, de-raining, de-snowing, etc.
● Demosaicing
● Image/video compression
● Removal of artifacts, shadows, glare and reflections, etc.
● Image/video enhancement: brightening, color adjustment, sharpening, etc.
● Style transfer
● Hyperspectral imaging
● Underwater imaging
● Methods robust to changing weather conditions / adverse outdoor conditions
● Image/video restoration, enhancement, manipulation on constrained settings
● Image/video processing on mobile devices
● Visual domain translation
● Multimodal translation
● Perceptual enhancement
● Perceptual manipulation
● Depth estimation
● Image/video generation and hallucination
● Image/video quality assessment
● Image/video semantic segmentation, depth estimation
● Studies and applications of the above.

SUBMISSION
A paper submission has to be in English, in pdf format, and at most 8 pages (excluding references) in CVPR style.
The review process is double blind.
Accepted and presented papers will be published after the conference in the CVPR 2020 Workshops Proceedings.

Author Kit: http://cvpr2020.thecvf.com/sites/default/files/2019-09/cvpr2020AuthorKit.zip
 

WORKSHOP DATES
● Regular Papers Submission Deadline: March 15, 2020
● Challenge Papers Submission Deadline: April 04, 2020

IMAGE CHALLENGES (ongoing!)
  1. Perceptual Extreme Super-Resolution (x16)
  2. Real-World Super-Resolution
  3. Real Denoising (rawRGB and sRGB)
  4. Deblurring  (on desktop and on smartphone)
  5. Demoireing (single image and burst)
  6. Spectral Reconstruction from RGB
  7. Nonhomogeneous Dehazing

VIDEO CHALLENGES (ongoing!)
  1. Quality Mapping (supervised and weakly supervised)
  2. Deblurring
To learn more about the challenges, to participate in the challenges, and to access the data everybody is invited to check the NTIRE webpage:
http://www.vision.ee.ethz.ch/ntire20/
CHALLENGES DATES

● Release of train data: January 10, 2020
● Competitions end: March 23, 2020

ORGANIZERS

● Radu Timofte, ETH Zurich, Switzerland
● Martin Danelljan, ETH Zurich, Switzerland
● Shuhang Gu, ETH Zurich, Switzerland & University of Sydney, Australia
● Kai Zhang, ETH Zurich, Switzerland
● Lei Zhang, The Hong Kong Polytechnic University
● Ming-Hsuan Yang, University of California at Merced, US
● Luc Van Gool, ETH Zurich, Switzerland 
and KU Leuven, Belgium
● Cosmin Ancuti, UPT, Romania
● Codruta O. Ancuti, University Politehnica Timisoara, Romania
● Kyoung Mu Lee, Seoul National University, Korea
● Michael S. Brown, York University, Canada
● Eli Shechtman, Adobe Research
● Zhiwu Huang, ETH Zurich, Switzerland
● Seungjun Nah, Seoul National University, Korea
● Abdelrahman Kamel Siddek Abdelhamed, York University, Canada
● Mahmoud Afifi, York University, Canada
● Boaz Arad, Voyage 81, Israel
● Shanxin Yuan, Huawei Noah's Ark Lab, UK
● Gregory Slabaugh, Huawei Noah's Ark Lab, UK

SPEAKERS (TBA)
SPONSORS (TBU)
CVL / ETH Zurich
Huawei
Oppo
Disney Research
MediaTek
Voyage81
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