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

*******************************

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
Read More »

CFP: CVPR 2020 Workshop and Challenge on Learned Image Compression (CLIC)

February 20th, 2020 Daniela Lopez de Luise
Apologies for cross-posting
*******************************

CALL FOR PARTICIPANTS & PAPERS

CLIC: 3rd Workshop and Challenge on Learned Image Compression 2020
in conjunction with CVPR 2020, June 14, Seattle, USA.

Website: http://www.compression.cc/

MOTIVATION
Our workshop aims to gather publications which will advance the field of image and video compression using state of the art machine learning and computer vision techniques. Even with the long history of signal-processing oriented compression, taking new approaches to image processing have great potential, due to the proliferation of high-resolution cell-phone images and special hardware (e.g., GPUs and mobile AI accelerators). The potential in this area has already been demonstrated using recurrent neural networks, convolutional neural networks, and adversarial learning, many of these matching the best image-compression standards when measured on perceptual metrics. As such, we are interested in the various techniques associated with this class of methods. Broadly speaking, we would like to encourage the development of novel encoder/decoder architectures, novel ways to control information flow between the encoder and the decoder, novel optimization objectives for improved perceptual quality and learn how to quantize (or learn to quantize) better.
CHALLENGE TRACKS

There are two challenge tracks. In the low bit-rate track, images need to be compressed to below 0.15 bits per pixel (bpp). This is the same task as in previous years, which allows us to measure progress over the years. As a first step towards video compression, this year also includes a P-frame track. Here, video P-frames need to be predicted from a previous frame.

Low-rate compression

For the low bit-rate track (which is similar to the one we ran at CLIC 2018), contestants will be asked to compress the entire dataset to 0.15 bpp or smaller. The winners of the competition will be chosen based human perceptual rating task and will be asked to give a short talk at the CLIC workshop. PSNR and MS-SSIM will be evaluated but not considered for prizes. We will provide last year’s professional and mobile datasets (all splits) as the training data for this challenge track. A new test set will be generated for this year and released during the test phase.

P-frame compression

The P-frame challenge will require entrants to compress a video frame conditioned on the previous image frame. Instead of splitting the dataset into training and test sets, in this track the entire dataset is released before the test phase. To discourage overfitting, the model size is added to the compressed dataset size and the sum cannot exceed a target bit-rate. That is, participants should try to minimize both the dataset size and the model size. The winner will be determined based on MS-SSIM.

REGULAR PAPERS

We will have a short (4 pages) regular paper track, which allows participants to share research ideas related to image compression. In addition to the paper, we will host a poster session during which authors will be able to discuss their work in more detail.

We encourage exploratory research which shows promising results in:

● Lossy image compression
● Quantization (learning to quantize; dealing with quantization in optimization)
● Entropy minimization
● Image super-resolution for compression
● Deblurring
● Compression artifact removal
● Inpainting (and compression by inpainting)
● Generative adversarial networks
● Perceptual metrics optimization and their applications to compression
And, in particular, how these topics can improve image compression.

CHALLENGE PAPERS

The challenge task participants are asked to submit a short paper (up to 4 pages) detailing the algorithms which they submitted as part of the challenge.

SUBMISSION (TBA)
IMPORTANT DATES

November 22th 2019 Development phase & announcement. The training part of the dataset released.
January 7th, 2020 The validation part of the dataset released, online validation server is made available.
March 13th, 2020 Final decoders for the challenge are expected to be submitted.
March 16th, 2020 Test set is released for contestants to compress.
March 20th, 2020 Encoded test set submission deadline. The competition is closed at this point.
March 23th, 2020 Paper and Factsheet submission deadline.per and Factsheet submission deadline.
April 6th, 2020 Paper decision notification.
Mid April, 2020 Camera ready deadline for CVPR
Mid May, 2020 End of human evaluation on both challenges. Results will be released online before the workshop.

SPEAKERS

Nils Thuerey, Technical University of Munich, Germany
Yochai Blau, Technion, Israel
Tom Bird, UCL, London

ORGANIZERS

George Toderici (Google)
Wenzhe Shi (Twitter)
Radu Timofte (ETH Zurich)
Lucas Theis (Twitter)
Johannes Ballé (Google)
Eirikur Agustsson (ETH Zurich / Google)
Nick Johnston (Google)
Fabian Mentzer (ETH Zurich)

SPONSORS (TBU):

Google
Twitter
CVL / ETH Zurich
Huawei
Disney Research
MediaTek
Read More »

EXTENDED DEADLINE: RoboCup 2020 – RoboCup@Work Call for Participation

February 20th, 2020 Daniela Lopez de Luise
Call for Applications for Participation

RoboCup 2020 – RoboCup at Work
https://2020.robocup.org
Bordeaux, France
Tuesday 23rd through Monday 29th June 2020
RoboCup at Work: Competing for the Factory of the Future

RoboCup at Work is a league and competition in RoboCup that targets the use of robots in work-related, industrial scenarios.

It aims to foster research and development that enables the use of innovative mobile robots equipped with advanced manipulators for current and future industrial applications, where robots cooperate with human workers for complex tasks ranging from manufacturing, automation, and parts handling up to general logistics.

The RoboCup at Work league is characterized by an industrial appealing environment composed of industrial objects such as screws and nuts, shelves, containers, platforms of various sizes and networked automation devices such as conveyor belts, drilling machines, and others.

The actual competition tasks to be performed in the environment are defined in a set of so-called tests. Each test addresses various mobile manipulation capabilities such as grasping, transportation, precision placement, and visual servoing.

The full rules of RoboCup at Work as well as further technical details are posted on the RoboCup at Work website.

Participation in the Competition

All teams that intend to participate in the competition have to perform the following steps:

  1. Submission of qualification material, including a Team Description Paper and possibly additional material like videos or drawings

  2. Final registration (qualified teams only)

Qualification

The qualification process serves a dual purpose: It should allow the Technical Committee to assess the safety of the robots a team intends to bring to a competition, and it should allow to rank teams according to a set of evaluation criteria in order to select the most promising teams for a competition, if not all interested teams can be permitted. The TC will select the qualified teams according to the qualification material provided by the teams.

The evaluation criteria will include:

  • Team description paper
  • Relevant scientific contribution/publications
  • The professional quality of robot and software
  • Novelty of approach
  • Relevance to industry
  • Performance in previous competitions
  • Contribution to RoboCup at Work league, e.g. by
    — Organization of events
    — Provision and sharing of knowledge
  • Team web site

Team Description Paper

The Team Description Paper (TDP) is a central element of the qualification process and has to be provided by each team as part of the qualification process. The TDP should at least contain the following information in the author/title section of the paper:

  • Name of the team (title)
  • Team members (authors), including the team leader
  • Link to the team web site
  • Contact information
  • The body of the TDP should contain information on the following:
    — focus of research/research interest
    — a description of the hardware, including an image of the robot(s)
    — a description of the software, esp. the functional and software architectures
    — innovative technology (if any)
    — reusability of the system or parts thereof
    — applicability and relevance to industrial tasks
    — usage of components (software or hardware) developed by other RoboCup at Work teams

The team description paper should cover in detail the technical and scientific approach, while the team web site should be designed for a broader audience. Both the web site and the TDP have to be written in English.

All TDPs must be written using the following template: https://www.overleaf.com/latex/templates/springer-lecture-notes-in-computer-science/kzwwpvhwnvfj#.WtR5Hy5ua71

Submission and Evaluation

All applications with the qualification material must be submitted by February 23rd, 2020 through the following online form:
https://forms.gle/1ZiXQzU7nxJfBVvR8

Qualified teams will be tentatively announced by March 13th, 2020.

Best Regards,
The RoboCup at Work Committees

Read More »

Optimization for Data Science Session

February 20th, 2020 Daniela Lopez de Luise
To Whom It May Concern,

We are currently accepting abstracts for a session on optimization for
data science, to be held at the Canadian Operational Research Society
62nd Annual Conference. The conference will be held June 08-10 in Toronto.

Please note the deadline for submission is February 28. If you are
interested in the optimization for data science session, you should
indicate you are applying for session OPT22 in your submission.

More details can be found on the conference web page:
https://uwaterloo.ca/canadian-operational-research-society-conference/

We look forward to seeing you!

Best regards,
Pierre

Read More »

Late-Breaking Posters at the London Imaging Meeting: Future Colour Imaging Conference

February 20th, 2020 Daniela Lopez de Luise

We have kept free slots on the second day (of this 2-day conference) for the community to present new “work in progress” posters. All topics relevant to the conference are solicited and we particularly encourage students to submit. The posters are not archival publications but poster abstracts that will appear in a printed booklet at the LIM meeting. Abstracts may be created in a software program of your choice and submitted as a PDF. Authors are free to submit fuller versions of their work to future conferences and journals.

 

The submission procedure for abstracts can be found <https://www.openconf.org/LIM2020/author/submit.php>

 

We only have a small number of poster slots available. Therefore the steering committee will review the submitted abstracts on a first-come, first-served basis. We will endeavour to confirm acceptance quickly and will close the submission site when the maximum number of posters has been reached. 

 

For your interest, the Preliminary Program for this conference can now be found <http://www.imaging.org/Site/IST/Conferences/LIM/LIM_Home>

 

Please communicate this opportunity to your Network,

 

We look forward to hosting you in London.

 

Best

LIM Steering Committee

 

Graham Finlayson

Javier Vazquez-Corral

Michael S. Brown

Susan Farnand

Rafal Mantiuk

Read More »
« Older Entries
Newer Entries »
Design by 2b Consult