[visionlist] [CFP] CVPR 2023 Mobile AI workshop and challenges

[Radu Timofte]

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

3rd Mobile AI workshop and challenges on
learned ISP, denoising, HDR, image/video super-resolution, depth
estimation, validated on mobile hardware
In conjunction with CVPR 2023, 18th of June, Vancouver, Canada

Website: https://ai-benchmark.com/workshops/mai/2023/

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://cvpr2023.thecvf.com/Conferences/2023/AuthorGuidelines
<https://cvpr2023.thecvf.com/Conferences/2023/AuthorGuideliness>
The review process is double blind.
Accepted and presented papers will be published after the conference in the
2023 CVPR Workshops Proceedings.

Author Kit:
https://media.icml.cc/Conferences/CVPR2023/cvpr2023-author_kit-v1_1-1.zip
Submission site: https://cmt3.research.microsoft.com/MAI2023

WORKSHOP DATES

● *Regular Papers submission deadline: February 28, 2023*

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 2023 web
page:
https://ai-benchmark.com/workshops/mai/2023/

For those interested in image and video restoration, enhancement,
manipulation, super-resolution without specific mobile hardware constraints
we refer to the CVPR23* NTIRE Workshop and Challenges:*
https://cvlai.net/ntire/2023/

CHALLENGES DATES (TBU)

● Release of train data: March 21, 2023
● *Competitions end: May 31, 202*
*3*

Website: https://ai-benchmark.com/workshops/mai/2023/
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