[visionlist] [CFP] New Trends in Image Restoration and Enhancement workshop and challenges @ CVPR 2019

[Radu Timofte]

Apologies for cross-posting
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CALL FOR PAPERS  & CALL FOR PARTICIPANTS IN 11 COMPETITIONS

NTIRE: 4th New Trends in Image Restoration and Enhancement workshop and
challenges on super-resolution, dehazing, enhancement, colorization, and
deblurring
In conjunction with CVPR 2019, June 17, Long Beach, USA.

Website: http://www.vision.ee.ethz.ch/ntire19/
Contact: radu.timofte at vision.ee.ethz.ch

TOPICS

Papers addressing topics related to image restoration and enhancement are
invited. The topics include, but are not limited to:

   - Image/video inpainting
   - Image/video deblurring
   - Image/video denoising
   - Image/video upsampling and super-resolution
   - Image/video filtering
   - Image/video dehazing
   - Demosaicing
   - Image/video compression
   - Artifact removal
   - Image/video enhancement: brightening, color adjustment, sharpening,
   etc.
   - Style transfer
   - Image/video generation and hallucination
   - Image/video quality assessment
   - Hyperspectral imaging
   - Underwater imaging
   - Aerial and satellite imaging
   - Methods robust to changing weather conditions / adverse outdoor
   conditions
   - Perceptual enhancement
   - 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.
http://cvpr2019.thecvf.com/submission/main_conference/author_guidelines
The review process is double blind.
Accepted and presented papers will be published after the conference in the
CVPR Workshops Proceedings on by IEEE (http://www.ieee.org) and Computer
Vision Foundation (www.cv-foundation.org).

Author Kit: http://cvpr2019.thecvf.com/files/cvpr2019AuthorKit.zip
Submission site: https://cmt3.research.microsoft.com/NTIRE2019

WORKSHOP DATES

● Submission Deadline: March 15, 2019
● Decisions: April 5, 2019
● Camera Ready Deadline: April 10, 2019

IMAGE CHALLENGES (*ongoing!*)

   1. *Dehazing*
   2. *Denoising*: Track 1 rawRGB
   3. *Denoising*: Track 2 sRGB
   4. *Super-Resolution*
   5. *Enhancement*
   6. *Colorization*: Track 1 no guidance
   7. *Colorization*: Track 2 with guidance


VIDEO CHALLENGES (*ongoing!*)

   1. *Deblurring*: Track 1 clean
   2. *Deblurring*: Track 2 compression artifacts
   3. *Super-Resolution*: Track 1 clean
   4. *Super-Resolution:* Track 2 blur

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/ntire19/

CHALLENGES DATES

● Release of train data: January 10, 2019
● *Competitions end: March 19, 2019*

ORGANIZERS

● Radu Timofte, ETH Zurich, Switzerland (radu.timofte at vision.ee.ethz.ch)
● Shuhang Gu, ETH Zurich, Switzerland
● Ming-Hsuan Yang, University of California at Merced, US / Google AI
● Lei Zhang, The Hong Kong Polytechnic University
● Luc Van Gool, KU Leuven, Belgium and ETH Zurich, Switzerland
● Cosmin Ancuti, Université catholique de Louvain (UCL), Belgium
● Codruta O. Ancuti, University Politehnica Timisoara, Romania
● Kyoung Mu Lee, Seoul National University, Korea
● Michael S. Brown, York University, Canada
● Eli Shechtman, Adobe Research
● Ming-Yu Liu, NVIDIA Research
● Zhiwu Huang, ETH Zurich, Switzerland
● Jianrui Cai, The Hong Kong Polytechnic University
● Seungjun Nah, Seoul National University, Korea
● Richard Zhang, Adobe Research
● Abdelrahman Abdelhamed, York University, Canada

SPONSORS (to be updated)

Samsung
Huawei
Amazon
Google
NVIDIA
Alibaba

Website: http://www.vision.ee.ethz.ch/ntire19/
Contact: radu.timofte at vision.ee.ethz.ch
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