[visionlist] CFP: CVPR Workshop on New Trends in Image Restoration and Enhancement (DEADLINE: April 24, 2017)

Radu Timofte timofte.radu at gmail.com
Thu Apr 13 09:02:00 -05 2017

Apologies for cross-posting



NTIRE: New Trends in Image Restoration and Enhancement workshop and
challenge on image super-resolution 2017
In conjunction with CVPR 2017, July 21, Hawaii.

Website: http://www.vision.ee.ethz.ch/ntire17/
Contact: radu.timofte at vision.ee.ethz.ch


Image 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 achieved.

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 collaborations.


Papers 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.


A 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
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 (www.cv-foundation.org).

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

Author Kit: http://cvpr2017.thecvf.com/files/cvpr2017AuthorKit.zip


● Submission Deadline: April 24, 2017 (*extended!*)
● 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
● Track 2: unknown assumes that the explicit forms for the degradation
operators are unknown, only the training pairs of low and high images are

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: April 16, 2017 (*extended!*)


● Radu Timofte, ETH Zurich, Switzerland (radu.timofte at vision.ee.ethz.ch)
● Ming-Hsuan Yang, University of California at Merced, US (
mhyang at ucmerced.edu)
● Eirikur Agustsson, ETH Zurich, Switzerland (eirikur.agustsson at vision.ee.e
● Lei Zhang, The Hong Kong Polytechnic University (cslzhang at polyu.edu.hk)
● Luc Van Gool, KU Leuven, Belgium and ETH Zurich, Switzerland (
vangool at 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
   - Alexey Dosovitskiy, Intel Labs
*Touradj Ebrahimi, EPFL, Switzerland *
   - Michael Elad, Technion, Israel
   - Corneliu Florea, University Politehnica of Bucharest, Romania
   - Alessandro Foi, Tampere University of Technology, Finland
   - Bastian Goldluecke, University of Konstanz, Germany
   - Luc Van Gool, ETH Zürich and KU Leuven, Belgium
   - Peter Gehler, University of Tübingen and MPI Intelligent Systems,
   - Hiroto Honda, DeNA Co., Japan
   - Michal Irani, Weizmann Institute, Israel
   - Phillip Isola, UC Berkeley, US
   - Zhe Hu, Light.co
   - Sing Bing Kang, Microsoft Research, US
   - Vivek Kwatra, Google
   - Kyoung Mu Lee, Seoul National University, South Korea
   - Seungyong Lee, POSTECH, South Korea
   - Stephen Lin, Microsoft Research Asia
   - 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
   - Rafael Molina Soriano, University of Granada, Spain
   - 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
   - Hayder Radha, Michigan State University, US
   - Stefan Roth, TU Darmstadt, Germany
   - Aline Roumy, INRIA, France
   - Jordi Salvador, Amazon, US
   - Yoichi Sato, University of Tokyo, Japan
   - Samuel Schulter, NEC Labs America
   - Nicu Sebe, University of Trento, Italy
   - Boxin Shi, National Institute of Advanced Industrial Science and
   Technology (AIST), Japan
   - Wenzhe Shi, Twitter Inc.
   - Alexander Sorkine-Hornung, Disney Research
   - Sabine Süsstrunk, EPFL, Switzerland
   - Yu-Wing Tai, SenseTime
   - Hugues Talbot, Université Paris Est, France
   - Robby T. Tan, Yale-NUS College, Singapore
   - Masayuki Tanaka, Tokyo Institute of Technology, Japan
   - Jean-Philippe Tarel, IFSTTAR, France
   - Radu Timofte, ETH Zürich, Switzerland
   - Ashok Veeraraghavan, Rice University, US
   - Jue Wang, Megvii Research, US
   - 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


   - Alexei Efros, UC Berkeley, US
   - Jan Kautz, NVIDIA
   - Liang Lin, SenseTime and Sun Yat-Sen University, China
   - Peyman Milanfar, Google and UC Santa Cruz, US
   - Eli Shechtman, Adobe
   - Wenzhe Shi, Twitter Inc.
   - Sabine Süsstrunk, EPFL, Switzerland


Twitter Inc

Contact: radu.timofte at vision.ee.ethz.ch
Website: http://www.vision.ee.ethz.ch/ntire17/
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