CVPR 2023 Mobile AI workshop and challenges


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://aibenchmark.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.
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

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://aibenchmark.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, 2023

Website: https://aibenchmark.com/workshops/mai/2023/

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