[visionlist] CFP: Workshop on New Trends in Image Restoration and Enhancement @ CVPR 2017

Apologies for multiple copies******************************CALL FOR PAPERS:NTIRE: New Trends in Image Restoration and Enhancement workshop and challenge on image super-resolution 2017
In conjunction with CVPR 2017, July 21Website: http://ift.tt/2n6UTy8
Contact: radu.timofte@vision.ee.ethz.ch
SCOPEImage restoration and image enhancement are key computer vision
tasks, aiming at the restoration of degraded image content or the
filling in of missing information. Recent years have witnessed an
increased interest from the vision and graphics communities in these
fundamental topics of research. Not only has there been a constantly
growing flow of related papers, but also substantial progress has been
Each step forward eases the use of images by people or computers for
the fulfillment of further tasks, with image restoration or enhancement
serving as an important frontend. Not surprisingly then, there is an
ever growing range of applications in fields such as surveillance, the
automotive industry, electronics, remote sensing, or medical image
analysis. The emergence and ubiquitous use of mobile and wearable
devices offer another fertile ground for additional applications and
faster methods.
This workshop aims to provide an overview of the new trends and
advances in those areas. Moreover, it will offer an opportunity for
academic and industrial attendees to interact and explore
TOPICSPapers addressing topics related to image restoration and enhancement are invited. The topics include, but are not limited to:
● Image inpainting
● Image deblurring
● Image denoising
● Image upsampling and super-resolution
● Image filtering
● Image dehazing
● Demosaicing
● Image enhancement: brightening, color adjustment, sharpening, etc.
● Style transfer
● Image generation and image hallucination
● Image-quality assessment
● Video restoration and enhancement
● Hyperspectral imaging
● Methods robust to changing weather conditions
● Studies and applications of the above.
SUBMISSIONA paper submission has to be in English, in pdf format, and at most 8
pages (excluding references) in CVPR style. The paper format must
follow the same guidelines as for all CVPR submissions.
The review process is double blind. Authors do not know the names of
the chair/reviewers of their papers. Reviewers do not know the names of
the authors.
Dual submission is allowed with CVPR main conference only. If a
paper is submitted also to CVPR and accepted, the paper cannot be
published both at the CVPR and the workshop.
For the paper submissions, please go to the online submission site.
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 (http://ift.tt/1dA6WiF).
The author kit provides a LaTeX2e template for paper submissions.
Please refer to the example for detailed formatting instructions. If you
use a different document processing system then see the CVPR author
instruction page.
Author Kit: http://ift.tt/2n6UCLr
WORKSHOP DATES● Submission Deadline: April 17, 2017
● Decisions: May 08, 2017
● Camera Ready Deadline: May 18, 2017
CHALLENGE on Example-based Single-Image Super-Resolution
In order to gauge the current state-of-the-art in example-based
single-image super-resolution, to compare and to promote different
solutions we are organizing an NTIRE challenge in conjunction with the
CVPR 2017 conference. We propose a large DIV2K dataset with DIVerse 2K
resolution images.
The challenge has 2 tracks:
● Track 1: bicubic uses the bicubic downscaling (Matlab
imresize), one of the most common settings from the recent single-image
super-resolution literature.
● Track 2: unknown assumes that the explicit forms for the
degradation operators are unknown, only the training pairs of low and
high images are available.
To learn more about the challenge, to participate in the challenge,
and to access the newly collected DIV2K dataset with DIVerse 2K
resolution images everybody is invited to register at the links from:


● Release of train data: February 14, 2017
● Validation server online: February 25, 2017
● Competition ends: March 31, 2017
ORGANIZERS● Radu Timofte, ETH Zurich, Switzerland (radu.timofte@vision.ee.ethz.ch)
● Ming-Hsuan Yang, University of California at Merced, US (mhyang@ucmerced.edu)
● Eirikur Agustsson, ETH Zurich, Switzerland (eirikur.agustsson@vision.ee.ethz.ch)
● Lei Zhang, The Hong Kong Polytechnic University (cslzhang@polyu.edu.hk)
● Luc Van Gool, KU Leuven, Belgium and ETH Zurich, Switzerland (vangool@vision.ee.ethz.ch)


Cosmin Ancuti, Université catholique de Louvain (UCL), Belgium
Michael S. Brown, York University, Canada
Subhasis Chaudhuri, IIT Bombay, India
Sunghyun Cho, Samsung
Oliver Cossairt, Northwestern University, US
Chao Dong, SenseTime
Weisheng Dong, Xidian University, China
Alessandro Foi, Tampere University of Technology, Finland
Luc Van Gool, ETH Zürich and KU Leuven, Belgium
Peter Gehler, University of Tübingen and MPI Intelligent Systems, Germany
Hiroto Honda, Toshiba Co.
Michal Irani, Weizmann Institute, Israel
Zhe Hu, Light.co
Sing Bing Kang, Microsoft Research, US
Kyoung Mu Lee, Seoul National University, South Korea
Chen Change Loy, Chinese University of Hong Kong
Vladimir Lukin, National Aerospace University, Ukraine
Kai-Kuang Ma, Nanyang Technological University, Singapore
Vasile Manta, Technical University of Iasi, Romania
Yasuyuki Matsushita, Osaka University, Japan
Peyman Milanfar, Google and UCSC, US
Yusuke Monno, Tokyo Institute of Technology, Japan
Hajime Nagahara, Kyushu University, Japan
Vinay P. Namboodiri, IIT Kanpur, India
Sebastian Nowozin, Microsoft Research Cambridge, UK
Aleksandra Pizurica, Ghent University, Belgium
Fatih Porikli, Australian National University, NICTA, Australia
Stefan Roth, TU Darmstadt, Germany
Aline Roumy, INRIA, France
Jordi Salvador, Technicolor, Germany
Nicu Sebe, University of Trento, Italy
Boxin Shi, National Institute of Advanced Industrial Science and Technology (AIST), Japan
Sabine Süsstrunk, EPFL, Switzerland
Hugues Talbot, Université Paris Est, France
Yu-Wing Tai, SenseTime
Robby T. Tan, Yale-NUS College, Singapore
Masayuki Tanaka, Tokyo Institute of Technology, Japan
Radu Timofte, ETH Zürich, Switzerland
Chih-Yuan Yang, UC Merced, US
Ming-Hsuan Yang, University of California at Merced, US
Qingxiong Yang, Didi Chuxing, China
Lei Zhang, The Hong Kong Polytechnic University
Wangmeng Zuo, Harbin Institute of Technology, China
*** We are looking for sponsors for incentive prizes.  ***Email: radu.timofte@vision.ee.ethz.ch
Website: http://ift.tt/2n6UTy8


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