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<div><div><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 8 <span>CHALLENGES</span></div></div>


</div><div><br></div><div><span>AIM</span>: 4th <span>Advances</span> in <span>Image</span> <span>Manipulation</span> 
<span>workshop</span> and <span>challenges</span> on compressed/image/video<span></span> super-resolution, learned ISP, reversed ISP, Instagram filter removal, Bokeh effect, depth estimation<br></div>In conjunction with <span>ECCV</span> <span>2022</span>, Tel-Aviv, Israel<br>
<br>Website: <a href="https://data.vision.ee.ethz.ch/cvl/aim22/" target="_blank">https://data.vision.ee.ethz.ch/cvl/aim22/</a> <br>Contact: <a href="mailto:radu.timofte@uni-wuerzburg.de" target="_blank">radu.timofte@uni-wuerzburg.de</a>
<br>
<br>
<br>TOPICS<br>
<br>Papers addressing topics related to <span>image</span>/video <span>manipulation</span>, 
restoration and enhancement are invited. The topics include, but are not
 limited to:
<br>
<br><div style="margin-left:40px">●    <span>Image</span>-to-<span>image</span> translation
<br>●    Video-to-video translation
<br>●    <span>Image</span>/video <span>manipulation</span>
<br>●    Perceptual <span>manipulation</span>
<br>●    <span>Image</span>/video generation and hallucination
<br>●    <span>Image</span>/video quality assessment
<br>●    <span>Image</span>/video semantic segmentation <br></div><div style="margin-left:40px">
● Saliency and gaze estimation <br></div><div style="margin-left:40px">●    Perceptual enhancement
<br>●    Multimodal translation
<br>●    Depth estimation
<br>●    <span>Image</span>/video inpainting
<br>●    <span>Image</span>/video deblurring
<br>●    <span>Image</span>/video denoising
<br>●    <span>Image</span>/video upsampling and super-resolution
<br>●    <span>Image</span>/video filtering
<br>●    <span>Image</span>/video de-hazing, de-raining, de-snowing, etc.
<br>●    Demosaicing
<br>●    <span>Image</span>/video compression
<br>●    Removal of artifacts, shadows, glare and reflections, etc.
<br>●    <span>Image</span>/video enhancement: brightening, color adjustment, sharpening, etc.
<br>●    Style transfer
<br>●    Hyperspectral imaging
<br>●    Underwater imaging
<br>●    Aerial and satellite imaging
<br>●    Methods robust to changing weather conditions / adverse outdoor conditions
<br>●    <span>Image</span>/video <span>manipulation</span> on mobile devices
<br>●    <span>Image</span>/video restoration and enhancement on mobile devices
<br>●    Studies and applications of the above.
<br></div>
<br>
<br>SUBMISSION<br>
<br>
A paper submission has to be in English, in pdf format, and at most 14 
pages (excluding references) in single-column, ECCV style. The paper 
format must follow the same guidelines as for all ECCV 2022 submissions.
<br>
The review process is double blind. <br>
Dual submission is not allowed.<br>Submission site: <a href="https://cmt3.research.microsoft.com/AIMWC2022/" target="_blank">https://cmt3.research.microsoft.com/AIMWC2022/</a></div><div><br></div><div><div><br></div><span>WORKSHOP</span> DATES
<br>
<br><div style="margin-left:40px">● Submission Deadline: July 25, <span>2022</span>
<br>● Decisions: August 15, <span>2022</span>
<br>● Camera Ready Deadline: August 22, <span>2022</span>
<br></div><div><br>
</div><div><br></div>
AIM 2022 has the following associated challenges (ONGOING!):
<br><ol><li>Compressed Input Super-Resolution
</li><li>Reversed ISP
</li><li>Instagram Filter Removal
</li><li>Video Super-Resolution (Evaluation platform: MediaTek Dimensity APU) - Powered by MediaTek
</li><li>Image Super-Resolution (Eval. platform: Synaptics Dolphin NPU) - Powered by Synaptics
</li><li>Learned Smartphone ISP (Eval. platform: Snapdragon Adreno GPU) - Powered by OPPO
</li><li>Bokeh Effect Rendering (Eval. platform: ARM Mali GPU) - Powered by Huawei
</li><li>Depth Estimation (Eval. platform: Raspberry Pi 4) - Powered by Raspberry Pi 
</li></ol>
<br></div><div>PARTICIPATION
<br>
<br>To learn more about the <span>challenges</span> and to participate:
<br><div style="margin-left:40px"><a href="https://data.vision.ee.ethz.ch/cvl/aim22/" target="_blank">https://data.vision.ee.ethz.ch/cvl/aim22/</a> <br></div></div><div><div><br></div><div>
<span>CHALLENGES</span> DATES<br>
<br><div style="margin-left:40px">● Release of train data: May 24, <span>2022</span>
<br>● Validation server online: June 1, <span>2022</span>
<br>● Competitions end: July 30, <span>2022</span>
<br></div>
<br>
</div><div>CONTACT<br>
<br>Email: <a href="mailto:radu.timofte@uni-wuerzburg.de" target="_blank">radu.timofte@uni-wuerzburg.de</a>
<br>Website: <a href="https://data.vision.ee.ethz.ch/cvl/aim22/" target="_blank">https://data.vision.ee.ethz.ch/cvl/aim22/</a></div></div>

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