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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 9 <span>CHALLENGES</span></div></div>
</div><div><br></div><div><span>AIM</span>: 5th <span>Advances</span> in <span>Image</span> <span>Manipulation</span>
<span>workshop</span> and <span>challenges</span> on </div><div>video super-resolution, depth upsampling, raw alignment and learned ISP, sparse neural rendering, video saliency prediction, image and video quality assessment,<br></div>In conjunction with <span>ECCV</span> <span>2024</span>, Milano, Italy<br>
<br>Website: <a href="https://www.cvlai.net/aim/2024/" target="_blank">https://www.cvlai.net/aim/2024/</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 2024 submissions.
<br>
The review process is double blind. <br>
Dual submission is not allowed.<br>Submission site: <a href="https://cmt3.research.microsoft.com/AIMWC2024/" target="_blank">https://cmt3.research.microsoft.com/AIMWC2024/</a></div><div><br></div><div><br></div><span>WORKSHOP</span> DATES
<br>
<br><div style="margin-left:40px">● Submission Deadline: July 17, <span>2024</span>
<br>● Decisions: August 7, <span>2024</span><br>● Camera Ready Deadline: August 15, <span>2024</span>
<br></div><div><br>
</div><div><br></div>
AIM 2024 has the following associated challenges (ONGOING!):
<br>
● Mobile Real-Time Video Super-Resolution
<br> ● Efficient Video Super-Resolution
<br> ● Depth Upsampling and Refinement
<br> ● RAW Burst Alignment and ISP ongoing
<br> ● Sparse Neural Rendering - Track 1 - 3 views
<br> ● Sparse Neural Rendering - Track 2 - 9 views
<br> ● Video Saliency Prediction
<br> ● Video Super-Resolution Quality Assessment
<br> ● Compressed Video Quality Assessment
<br> ● Pushing the Boundaries of Blind Photo Quality Assessment
<br><div>
<br><div>PARTICIPATION
<br>
<br>To learn more about the <span>challenges</span> and to participate: <br></div><div> <a href="https://www.cvlai.net/aim/2024/" target="_blank">https://www.cvlai.net/aim/2024/</a><br></div><div><div><br></div><div>
<span>CHALLENGES</span> DATES<br>
<br><div style="margin-left:40px">● Release of train data: May, <span>2024</span>
<br>● Competitions end: July 19, <span>2024</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://www.cvlai.net/aim/2024/" target="_blank">https://www.cvlai.net/aim/2024/</a></div></div>
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