<div dir="ltr">
<span>Apologies for cross-posting<br></span><div><span>*******************************</span></div><div><span><br></span></div><div><span></span></div><div><div><span><span>CALL</span></span> FOR <span><span>PAPERS</span></span> & <span><span>CALL</span></span> FOR PARTICIPANTS IN CHALLENGES</div><div><br></div><div>2<span>nd Mobile AI <span>workshop and challenges on<span><span><br></span></span></span></span></div><div><span><span><span><span>learned ISP, denoising, HDR, image/video super-resolution, depth estimation, validated on mobile hardware</span></span></span></span><br><span>In</span> conjunction with CVPR <span><span><span>2022</span></span></span>, 20th of June, New Orleans, USA.</div><div><br></div><div>
<div><div><div>Website:
<a href="https://ai-benchmark.com/workshops/mai/2022/">https://ai-benchmark.com/workshops/mai/2022/</a>
</div><div><br></div><div>TOPICS</div><div><br></div><div style="margin-left:40px">
● Efficient deep learning models for mobile devices
<br>● Artifacts removal from mobile photos/videos
<br>● General smartphone photo/video enhancement
<br>● RAW camera image/video processing
<br>● Deep learning applications for mobile camera ISPs
<br>● Image/video super-resolution on low-power hardware
<br>● Portrait segmentation / bokeh effect rendering
<br>● Depth estimation w/o multiple cameras
<br>● Perceptual image manipulation on mobile devices
<br>● Activity recognition using smartphone sensors
<br>● Image/sensor based identity recognition
<br>● Fast image classification / object detection algorithms
<br>● NLP models optimized for mobile inference
<br>● Real-time semantic segmentation
<br>● Low-power machine learning inference
<br>● Machine learning and deep learning frameworks for mobile devices
<br>● AI performance evaluation / benchmarking of mobile and IoT hardware
<br>● Studies and applications of the above problems
<br></div>
<br>
</div></div><span><span><span><span><span><span><span><span><span><span><span></span></span></span></span></span></span></span></span></span></span></span>
</div>
<div><div>SUBMISSION</div><div><br></div><div>
<div>A <span><span>paper</span></span> submission has to be in English, in pdf format, and at most 8
pages (excluding references) in <span>CVPR</span> style. </div><div>
<a href="https://cvpr2022.thecvf.com/author-guidelines" target="_blank">https://cvpr2022.thecvf.com/author-guidelines</a>
</div><div>The review process is double blind. <br>
</div><div>Accepted and presented <span><span>papers</span></span> will be published in the <span><span class="gmail-il">2022</span></span> <span>CVPR</span> Workshops Proceedings by IEEE and CVF.
<br>
<br>Author Kit: <a href="https://cvpr2022.thecvf.com/sites/default/files/2021-10/cvpr2022-author_kit-v1_1-1.zip" target="_blank">https://cvpr2022.thecvf.com/sites/default/files/2021-10/cvpr2022-author_kit-v1_1-1.zip</a>
</div><div>Submission site: <a href="https://cmt3.research.microsoft.com/MAI2022">https://cmt3.research.microsoft.com/MAI2022</a>
</div></div></div><div><br></div>
</div><div>WORKSHOP DATES</div><div><br></div><div>
<div><div style="margin-left:40px">
● <b><span>Paper</span> submission deadline: March 20, <span><span>2022</span></span></b><span><span> </span></span><b><span><span><br></span></span></b></div><div style="margin-left:40px"><span><span></span></span></div><div style="margin-left:40px">● Paper decision notification: April 14, <span><span>2022</span></span></div><div style="margin-left:40px"><span><span><br></span></span></div>
<div><div>CHALLENGES (TBU)<br></div><div style="margin-left:40px"><br></div><div style="margin-left:40px">
● <b>Learned Smartphone ISP</b><br> ● <b>Image Denoising</b> <br> ● <b>HDR Image Processing</b> <br> ● <b>Image Super-Resolution</b><br> ● <b>Video Super-Resolution</b> <br> ● <b>Depth Estimation</b> <br>
</div></div><div><br></div><div>To learn more about the challenges, to participate <span>in</span> the challenges,
<span>and</span> to access the data everybody is invited to check the <span><span>Mobile AI</span></span> 2022 web page:</div><div>
<a href="https://ai-benchmark.com/workshops/mai/2022/">https://ai-benchmark.com/workshops/mai/2022/</a>
<div><div><br></div><div>For those interested in restoration,
enhancement, manipulation, super-resolution without specific mobile
hardware constraints we refer to the CVPR22<b> NTIRE Workshop and Challenges:</b></div><div><b>
</b><a href="https://data.vision.ee.ethz.ch/cvl/ntire22/">https://data.vision.ee.ethz.ch/cvl/ntire22/</a></div><div><br></div><div>
CHALLENGES DATES (TBU)<br><div>
<br><div style="margin-left:40px">● Release of train data: March 21, <span><span><span>2022</span></span></span><br>● <b>Competitions end: May 31, <span><span><span>2022</span></span></span></b><span><span><span><span></span></span></span></span><b><span><span><span><b><span><span><br></span></span></b></span></span></span></b></div><div style="margin-left:40px"><b><span><span><span><br></span></span></span></b></div><b><span><span><span></span></span></span></b><span><span><span></span></span></span>Website:
<a href="https://ai-benchmark.com/workshops/mai/2022/">https://ai-benchmark.com/workshops/mai/2022/</a></div></div></div></div></div></div>
</div>