CVPR 2018- New Trends in Image Restoration and Enhancement workshop and challenges on image super-resolution, dehazing and spectral reconstruction
NTIRE 2018
- URL: http://www.vision.ee.ethz.ch/ntire18/
- Event Date: 2018-06-17 ~ 2018-06-17
- Submission Date: 2018-03-01
Computer Graphics Computer Vision & Pattern Recognition
In conjunction with CVPR 2018
Website: http://www.vision.ee.ethz.ch/ntire18/
Contact: radu.timofte [at] vision.ee.ethz.ch
Scope
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.
Topics
Papers addressing topics related to image/video 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 enhancement: brightening, color adjustment, sharpening, etc.
● Style transfer
● Image/video generation and image hallucination
● Image/video quality assessment
● Video restoration and enhancement
● Hyperspectral imaging
● Underwater imaging
● Aerial and satellite imaging
● Methods robust to changing weather conditions / adverse outdoor conditions
● 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 paper format must follow the same guidelines as for all CVPR submissions.
http://cvpr2018.thecvf.com/submission/main_conference/author_guidelines
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 (opens February 1, 2018).
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 page.
Author Kit: http://cvpr2018.thecvf.com/files/cvpr2018AuthorKit.zip
Workshop Dates
● Submission Deadline: March 01, 2018
● Decisions: March 29, 2018
● Camera Ready Deadline: April 05, 2018
NTIRE 2018 Challenge on Image Super-Resolution
In order to gauge the current state-of-the-art in (example-based) single-image super-resolution under realistic conditions, to compare and to promote different solutions we are organizing an NTIRE challenge in conjunction with the CVPR 2018 conference.
To learn more about the challenge:
http://www.vision.ee.ethz.ch/ntire18/
The training data will be provided shortly.
NTIRE 2018 Challenge on Image Dehazing
In order to gauge the current state-of-the-art in image dehazing for real haze as well as synthesized haze, to compare and to promote different solutions we are organizing an NTIRE challenge in conjunction with the CVPR 2018 conference. A novel dataset of real and synthesized hazy images with ground truth will be introduced with the challenge. It is the first image dehazing online challenge.
To learn more about the challenge:
http://www.vision.ee.ethz.ch/ntire18/
The training data will be provided shortly.
NTIRE 2018 Challenge on Spectral Reconstruction from RGB images
In order to gauge the current state-of-the-art in spectral reconstruction from RGB images, to compare and to promote different solutions we are organizing an NTIRE challenge in conjunction with the CVPR 2018 conference. The largest dataset to date will be introduced with the challenge. It is the first spectral reconstruction from RGB images online challenge.
To learn more about the challenge:
http://www.vision.ee.ethz.ch/ntire18/
The training data will be provided shortly.
Challenge Dates
● Release of train data: January 1, 2018
● Validation server online: January 15, 2018
● Competitions end: February 27, 2018
Organizers
● 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)
● Jiqing Wu, ETH Zurich, Switzerland (Jiqing.wu [at] vision.ee.ethz.ch)
● 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
● Codruta O. Ancuti, University Politehnica Timisoara, Romania
● Boaz Arad, Ben-Gurion University, Israel
● Ohad Ben-Shahar, Ben-Gurion University, Israel
Program Committee (to be updated)
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, Germany
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, Tencent Youtu
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
Contact
Email: radu.timofte [at] vision.ee.ethz.ch
Website: http://www.vision.ee.ethz.ch/ntire17/
Journal Promotion
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| Acta Koreana (Acta Koreana) |
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