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
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