Apologies for cross-posting ******************************* 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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