1st Mobile AI workshop and challenges Call for Papers

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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/