2nd Mobile AI workshop and challenges Call for Papers
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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/