[visionlist] CFP: CVPR 2021 Workshop and Challenge on Learned Image Compression (CLIC)
timofte.radu at gmail.com
Thu Feb 4 09:28:31 -04 2021
Apologies for cross-posting
CALL FOR PARTICIPANTS & PAPERS
CLIC: 4th Workshop and Challenge on Learned Image Compression 2021
in conjunction with CVPR 2021, June, Nashville, USA (VIRTUAL).
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.
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.
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
João Ascenso, University of Lisbon
Kede Ma, City University of Hong Kong
Rianne van den Berg, Google
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)
ETH Zurich / CVL
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