CVPR 2021 Workshop and Challenge on Learned Image Compression (CLIC)

CALL FOR PARTICIPANTS & PAPERS

CLIC: 4th Workshop and Challenge on Learned Image Compression 2021
in conjunction with CVPR 2021, June, Nashville, USA (VIRTUAL).

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

MOTIVATION
Our workshop aims to gather publications which will advance the field of image and video compression using machine learning and computer vision. We want to encourage the development of novel encoder/decoder architectures, novel ways to control information flow between the encoder and the decoder, new perceptual losses, and new ways to learn quantized representations.
At the workshop we will also present the winners of our annual compression challenge. Like the workshop, the challenge is designed to encourage the development of new learned codecs. But it is also an opportunity to evaluate and compare end-to-end trained approaches against classical approaches and every submission is welcome.
CHALLENGE (ongoing!)

There are three challenge tracks:

  1.  image compression track, images need to be compressed to 0.075 bpp, 0.15 bpp, and 0.3 bpp (bits per pixel).
  2.  video compression track, short video clips need to be compressed to around 1 Mbit/s.
  3.  perceptual metric track, human preferences on pairs of images will have to be predicted. The image pairs will come from the decoders submitted to the image compression track.
IMPORTANT DATES

Jan 10, 2021 Challenge dataset is released
Mar 20, 2021 Challenge validation phase ends
Mar 23, 2021 Paper submission deadline
Mar 23, 2021 Challenge test set is released
Mar 27, 2021 Competition closes
Apr 06, 2021 Paper decision notification
PAPER SUBMISSION
SPEAKERS

João Ascenso, University of Lisbon
Kede Ma, City University of Hong Kong
Rianne van den Berg, Google

ORGANIZERS

George Toderici (Google)
Wenzhe Shi (Twitter)
Radu Timofte (ETH Zurich)
Lucas Theis (Google)
Johannes Ballé (Google)
Eirikur Agustsson (Google)
Nick Johnston (Google)
Fabian Mentzer (Google)
Zeina Sinno (Apple)
Andrey Norkin (Netflix)
Krishna Rapaka (Apple)
Erfan Noury (Apple)
SPONSORS (TBU):

Google
Twitter
ETH Zurich / CVL
Apple
Netflix

Special Issue “Analysis of 1D Biomedical signals through AI based approaches for Image processing” (Biomedical Signal Processing and Control Journal)

Dear Colleague,

the journal Biomedical Signal Processing and Control Journal (IF 3.137, https://www.journals.elsevier.com/biomedical-signal-processing-and-control) is currently running a Special Issue entitled “Analysis of 1D Biomedical signals through AI based approaches for Image processing”, which is now open for submissions:

https://www.journals.elsevier.com/biomedical-signal-processing-and-control/call-for-papers/special-issue-on-analysis-of-1d-biomedical-signals

Please, find below the Call for Papers of this Special Issue.
I hope it is interesting for you.
I apologize if you received multiple copies of this CFP.

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

BIOMEDICAL SIGNAL PROCESSING AND CONTROL JOURNAL 

Elsevier – Impact Factor: 3.137

Special Issue on Analysis of 1D Biomedical signals 

through AI based approaches for Image processing

Sensors-Special Issue on Machine Learning for Multimedia Communications

;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration:none;word-wrap:break-word;line-break:after-white-space”>

________________________________________________
Dr Nikolaos Thomos
Reader (Associate Professor)
CSEE Deputy Director of Research
University of Essex,
Computer Science and Electronic Engineering Department
Colchester, United Kingdom
Tel: 0044 (0) 1206872404

Conference on Artificial Intelligence and Computer Vision, Virtual/online presentation

*Apologies if you receive multiple copies of this CFP*

2nd round submission

The 2th International Conference on Artificial Intelligence and Computer Vision ( )

June 28-30, 2021, Morocco

http://egyptscience.net/AICV2021/

Submission Deadline: Feb. 20, 2021

We welcome your participation and contribution to the 2nd International Conference on Artificial Intelligence and Computer Vision (AICV’2021), held in Morocco during June 28-30, 2021. The 2nd edition of AICV2021 is organized by the Scientific Research Group in Egypt (SRGE) in collaboration with the Faculty of Science and Techniques, Hassan 1st University, Setatt, Morocco. AICV2021 is organized to provide an international forum that brings together those actively involved in the areas of interest and reports on up-to-the-minute innovations and developments to summarize the state-of-the-art and to exchange ideas and advances in all aspects of Artificial Intelligence and Computer Vision. All accepted papers will be published in the conference proceeding published by Springer in the series of “Advances in Intelligent Systems and Computing” and abstracted/indexed in DBLP, Google Scholar, EI-Compendex, Mathematical Reviews, SCImago, Scopus. 

We are also providing online presentation facilities to authors who are unable to attend the conference as well as PPT record is acceptable

 

Paper submission:  https://ocs.springer.com/misc/conference/submitpaperto/AICV2021

Important Dates:

– Paper submission deadline:  Feb. 20, 2021

– Acceptance notification: March 10, 2021

– Submission camera ready: March  20, 2021

– Registration: March 20, 2021

– Conference dates: June 28 – 30, 2021

Topics of interest for each track include (but are not limited to):

–          Track 1 (Main Track):   Artificial Intelligence: Applications and AI encapsulated in the IoT

–          Track 2:  Convergence of Artificial Intelligence and Blockchain Technologies

–          Track 3:  Artificial Intelligence for Communications and Networks

2020 conference proceeding: https://link.springer.com/book/10.1007/978-3-030-44289-7


General Chairs

Abdelkrim HAQIQ, Hassan 1st University, FST, Settat, Morocco

Aboul Ella Hassanien, Cairo University, Faculty of Computers & Artificial Intelligence, Egypt

 

DeepLearn 2021 Summer: early registration February 24

******************************************************************
 
4th INTERNATIONAL SCHOOL ON DEEP LEARNING
 
DeepLearn 2021 Summer
 
Las Palmas de Gran Canaria, Spain
 
July 26-30, 2021
 
Co-organized by:
 
Department of Information Engineering
Marche Polytechnic University
 
Institute for Research Development, Training and Advice – IRDTA
Brussels/London
 
https://irdta.eu/deeplearn2021s/
 
******************************************************************
 

Design by 2b Consult