Apologies for cross-posting ******************************* CALL FOR PAPERS & CALL FOR PARTICIPANTS IN 7 CHALLENGES
1st Mobile AI workshop and challenges on learned ISP, denoising, HDR, image/video super-resolution, depth estimation, scene detection In conjunction with CVPR 2021, June, Nashville, USA (VIRTUAL). Website: https://ai-benchmark.com/workshops/mai/2021/ 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. http://cvpr2021.thecvf.com/node/33 The review process is double blind. Accepted and presented papers will be published in the CVPR 2021 Workshops Proceedings. Author Kit: http://cvpr2021.thecvf.com/sites/default/files/2020-09/cvpr2021AuthorKit_2.zip Submission site: https://cmt3.research.microsoft.com/MAI2021 WORKSHOP DATES ● *Regular Papers Submission Deadline: March 05, 2021* ● Challenge Papers Submission Deadline: March 28, 2021 CHALLENGES ● *Learned Smartphone ISP* (Evaluation platform: MediaTek Dimensity APU) - Powered by MediaTek ● *Image Denoising* (Eval. platform: Exynos Mali GPU) - Powered by Samsung ● *HDR Image Processing* (Eval. platform: Kirin DaVinci NPU) - Powered by Huawei ● *Image Super-Resolution* (Eval. platform: Synaptics Dolphin NPU) - Powered by Synaptics ● *Video Super-Resolution* (Eval. platform: Snapdragon Adreno GPU) - Powered by OPPO ● *Depth Estimation* (Eval. platform: Raspberry Pi 4) - Powered by Raspberry Pi ● * Camera Scene Detection* (Eval. platform: Apple Bionic) - Powered by CVL To learn more about the challenges, to participate in the challenges, and to access the data everybody is invited to check the Mobile AI 2021 web page: https://ai-benchmark.com/workshops/mai/2021/ For those interested in restoration, enhancement, manipulation, classification without specific mobile hardware constraints we refer to the CVPR21* NTIRE Workshop and Challenges:* https://data.vision.ee.ethz.ch/cvl/ntire21/ CHALLENGES DATES ● Release of train data: January 10, 2020 ● *Competitions end: March 08, 2020* ORGANIZERS (TBU) ● Andrey Ignatov ( ETH Zurich) ● Radu Timofte ( ETH Zurich) ● Luc Van Gool ( ETH Zurich and KU Leuven) ● Martti Ilmoniemi ( Huawei Technologies Oy (Finland) Co. Ltd) ● Cheng-Ming Chiang ( MediaTek Inc.) ● Hsien-Kai Kuo ( MediaTek) ● Kim Byeoung-su ( Samsung Electronics Co., Ltd.) ● Gaurav Arora ( Synaptics Inc.) ● Abdel Younes ( Synaptics Inc.) ● David Plowman ( Raspberry Pi (Trading) Ltd.) ● Heewon Kim ( Seoul National University) ● Kyoung Mu Lee ( Seoul National University) ● Eirikur Agustsson ( Google) ● Chiu Man Ho ( OPPO) ● Zibo Meng ( OPPO) ● Shuhang Gu ( University of Sydney, OPPO) SPEAKERS (TBA) SPONSORS (TBU) ● OPPO ● Samsung ● MediaTek ● Synaptics ● Huawei ● Raspberry Pi ● CVL / ETH Zurich Website: https://ai-benchmark.com/workshops/mai/2021/
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