[visionlist] [CFP] CVPR 2022 Mobile AI workshop and challenges

[Radu Timofte]

 Apologies for cross-posting
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CALL FOR PAPERS  & CALL FOR PARTICIPANTS IN CHALLENGES

2nd Mobile AI workshop and challenges on
learned ISP, denoising, HDR, image/video super-resolution, depth
estimation, validated on mobile hardware
In conjunction with CVPR 2022, 20th of June, New Orleans, USA.

Website: https://ai-benchmark.com/workshops/mai/2022/

TOPICS

● Efficient deep learning models for mobile devices
● Artifacts removal from mobile photos/videos
● General smartphone photo/video enhancement
● RAW camera image/video processing
● Deep learning applications for mobile camera ISPs
● Image/video super-resolution on low-power hardware
● Portrait segmentation / bokeh effect rendering
● Depth estimation w/o multiple cameras
● Perceptual image manipulation on mobile devices
● Activity recognition using smartphone sensors
● Image/sensor based identity recognition
● Fast image classification / object detection algorithms
● NLP models optimized for mobile inference
● Real-time semantic segmentation
● Low-power machine learning inference
● Machine learning and deep learning frameworks for mobile devices
● AI performance evaluation / benchmarking of mobile and IoT hardware
● Studies and applications of the above problems

SUBMISSION

A paper submission has to be in English, in pdf format, and at most 8 pages
(excluding references) in CVPR style.
https://cvpr2022.thecvf.com/author-guidelines
The review process is double blind.
Accepted and presented papers will be published in the 2022 CVPR Workshops
Proceedings by IEEE and CVF.

Author Kit:
https://cvpr2022.thecvf.com/sites/default/files/2021-10/cvpr2022-author_kit-v1_1-1.zip

Submission site: https://cmt3.research.microsoft.com/MAI2022

WORKSHOP DATES

● *Paper submission deadline: March 20, 2022*
● Paper decision notification: April 14, 2022

CHALLENGES (TBU)

● *Learned Smartphone ISP*
● *Image Denoising*
● *HDR Image Processing*
● *Image Super-Resolution*
● *Video Super-Resolution*
● *Depth Estimation*

To learn more about the challenges, to participate in the challenges, and
to access the data everybody is invited to check the Mobile AI 2022 web
page:
https://ai-benchmark.com/workshops/mai/2022/

For those interested in restoration, enhancement, manipulation,
super-resolution without specific mobile hardware constraints we refer to
the CVPR22* NTIRE Workshop and Challenges:*
https://data.vision.ee.ethz.ch/cvl/ntire22/

CHALLENGES DATES (TBU)

● Release of train data: March 21, 2022
● *Competitions end: May 31, 2022*

Website: https://ai-benchmark.com/workshops/mai/2022/
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