Connectionists: [CFP] CVPR 2025 Mobile AI workshop and challenges

[Radu Timofte]

 Apologies for multiple postings
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CALL FOR PAPERS  & CALL FOR PARTICIPANTS IN CHALLENGES

MAI 5th Mobile AI workshop and challenges on
Efficient LLMs, Efficient Stable Diffusion, Image/Video Super-Resolution,
Efficient ViTs, Image Denoising, Bokeh Effect Rendering, Photo Enhancement,
Learned Smartphone ISP
validated on mobile hardware
In conjunction with CVPR 2025, 1?th of June, Nashville, US

Website: https://ai-benchmark.com/workshops/mai/2025/
Contact: andrey at vision.ee.ethz.ch

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://cvpr.thecvf.com/Conferences/2025/AuthorGuidelines
The review process is double blind.
Accepted and presented papers will be published after the conference in the
2025 CVPR Workshops Proceedings.

Author Kit:
https://github.com/cvpr-org/author-kit/archive/refs/tags/CVPR2025-v3.1(latex).zip
Submission site: https://cmt3.research.microsoft.com/MAI2025

WORKSHOP DATES

●
*Regular Papers submission deadline: March 10, 2025*

CHALLENGES (TBU)









*● Image Super-Resolution ● Efficient LLMs ● Efficient Stable Diffusion ●
Video Super-Resolution ● Efficient ViTs for Mobile ● Image Denoising ●
Bokeh Effect Rendering ● RGB Photo Enhancement ● Learned Smartphone ISP *

To learn more about the challenges, to participate in the challenges, and
to access the data everybody is invited to check the Mobile AI 2025 web
page:
https://ai-benchmark.com/workshops/mai/2025/

For those interested in image and video restoration, enhancement,
manipulation, super-resolution, quality assessment without specific mobile
hardware constraints we refer to the *CVPR25 NTIRE Workshop and Challenges:*
https://cvlai.net/ntire/2025/

CHALLENGES DATES (TBU)

● Release of train data: February 1, 2025
●
*Competitions end: March 21, 2025*

Website: https://ai-benchmark.com/workshops/mai/2025/
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