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<p class="MsoNormal" align="center" style="text-align:center"><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">--- Call for papers - Apologies for multiple posting --- </span><span lang="EN-US" style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<b><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Towards Multimodal Foundational Models for Modelling Visual Cortex</span></b><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<i><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Held in conjunction with the 18th European Conference on Computer Vision ECCV 2024 -<span class="apple-converted-space"> </span></span></i><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Sep
29th - Oct 4th, 2024<i>, 2024, Milan (Italy) </i> </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<i><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Web site:<span class="apple-converted-space"> </span></span></i><i><span style="font-size:11.0pt;color:#467886;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><a href="https://fmbrain-eccv.github.io/" title="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Ffmbrain-eccv.github.io%2F&data=05%7C02%7Cconcetto.spampinato%40unict.it%7C7b63b2e9d82348939e4208dc8fbb3165%7Cbaeefbc83c8b43829126e86bfef46ce6%7C0%7C0%7C638543281378040069%7CUnknown%7CTWFpbG"><span lang="EN-US">https://fmbrain-eccv.github.io</span></a></span></i><span class="apple-converted-space"><i><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> </span></i></span><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<b><u><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">IMPORTANT DATES</span></u></b><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Paper submission deadline:<span class="apple-converted-space"> </span><u>July 15, 2024</u> </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Notification to authors:<span class="apple-converted-space"> </span><u>August 10, 2024</u> </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Camera-ready deadline:<span class="apple-converted-space"> </span><u>August 20, 2024</u> </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<b><u><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">CALL FOR PAPERS</span></u></b><span class="apple-converted-space"><b><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> </span></b></span><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Recent advancements in artificial intelligence and computational modeling have sparked a new era in understanding complex systems, particularly
in neuroscience. Foundation models, distinguished by their capability to integrate diverse data modalities, have emerged as powerful tools in decoding the complexities of the visual cortex in both human and animal subjects. This workshop aims to explore state-of-the-art
techniques and methodologies for developing multimodal foundational models that comprehensively represent the visual cortex. </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<i><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Topics (but not limited to):</span></i><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
<p class="MsoNormal" style="margin-left:36.0pt;text-align:justify;caret-color:rgb(33,33,33);font-variant-caps:normal;orphans:auto;widows:auto;-webkit-text-stroke-width:0px;word-spacing:0px">
<span style="font-family:Symbol;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">·</span><span lang="EN-US" style="font-size:7.0pt;font-family:"Times New Roman",serif;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> <span class="apple-converted-space"> </span></span><b><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Theoretical
Frameworks and Computational Approaches:</span></b><span class="apple-converted-space"><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> </span></span><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Novel
theoretical constructs and computational strategies for modeling the visual cortex using multimodal data. </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
<p class="MsoNormal" style="margin-left:36.0pt;text-align:justify;caret-color:rgb(33,33,33);font-variant-caps:normal;orphans:auto;widows:auto;-webkit-text-stroke-width:0px;word-spacing:0px">
<span style="font-family:Symbol;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">·</span><span lang="EN-US" style="font-size:7.0pt;font-family:"Times New Roman",serif;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> <span class="apple-converted-space"> </span></span><b><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Integration
of Diverse Data Sources:</span></b><span class="apple-converted-space"><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> </span></span><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Techniques
and challenges in integrating and harmonizing heterogeneous data modalities such as fMRI, EEG, in vivo two-photon calcium imaging, fNIRS, and others. </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
<p class="MsoNormal" style="margin-left:36.0pt;text-align:justify;caret-color:rgb(33,33,33);font-variant-caps:normal;orphans:auto;widows:auto;-webkit-text-stroke-width:0px;word-spacing:0px">
<span style="font-family:Symbol;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">·</span><span lang="EN-US" style="font-size:7.0pt;font-family:"Times New Roman",serif;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> <span class="apple-converted-space"> </span></span><b><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Learning
Paradigms for Noisy Data:</span></b><span class="apple-converted-space"><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> </span></span><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Innovations
in learning algorithms and paradigms to effectively handle noisy and incomplete data in modeling brain functions. </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
<p class="MsoNormal" style="margin-left:36.0pt;text-align:justify;caret-color:rgb(33,33,33);font-variant-caps:normal;orphans:auto;widows:auto;-webkit-text-stroke-width:0px;word-spacing:0px">
<span style="font-family:Symbol;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">·</span><span lang="EN-US" style="font-size:7.0pt;font-family:"Times New Roman",serif;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> <span class="apple-converted-space"> </span></span><b><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Applications
in Neuroscientific Research:</span></b><span class="apple-converted-space"><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> </span></span><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Practical
applications of multimodal foundational models in elucidating perception, cognition, and neurodevelopmental or neurodegenerative disorders. </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
<p class="MsoNormal" style="margin-left:36.0pt;text-align:justify;caret-color:rgb(33,33,33);font-variant-caps:normal;orphans:auto;widows:auto;-webkit-text-stroke-width:0px;word-spacing:0px">
<span style="font-family:Symbol;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">·</span><span lang="EN-US" style="font-size:7.0pt;font-family:"Times New Roman",serif;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> <span class="apple-converted-space"> </span></span><b><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Contrastive
Learning for Multimodal Brain Data Fusion:</span></b><span class="apple-converted-space"><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> </span></span><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Techniques
and advancements in leveraging contrastive learning methods to fuse multimodal brain data for enhanced representation and analysis. </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
<p class="MsoNormal" style="margin-left:36.0pt;text-align:justify;caret-color:rgb(33,33,33);font-variant-caps:normal;orphans:auto;widows:auto;-webkit-text-stroke-width:0px;word-spacing:0px">
<span style="font-family:Symbol;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">·</span><span lang="EN-US" style="font-size:7.0pt;font-family:"Times New Roman",serif;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> <span class="apple-converted-space"> </span></span><b><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Self-Supervised
Learning for Temporal Brain Dynamics:</span></b><span class="apple-converted-space"><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> </span></span><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Approaches
utilizing self-supervised learning to capture and model temporal dynamics in brain imaging and physiological data. </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<span style="font-family:Symbol;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">·</span><span lang="EN-US" style="font-size:7.0pt;font-family:"Times New Roman",serif;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> <span class="apple-converted-space"> </span></span><b><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Unsupervised
Learning for Structural and Functional Brain Network Construction:</span></b><span class="apple-converted-space"><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> </span></span><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Methods
employing unsupervised learning to construct and analyze structural and functional brain networks from multimodal data. </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
<p class="MsoNormal" style="margin-left:36.0pt;text-align:justify;caret-color:rgb(33,33,33);font-variant-caps:normal;orphans:auto;widows:auto;-webkit-text-stroke-width:0px;word-spacing:0px">
<span style="font-family:Symbol;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">·</span><span lang="EN-US" style="font-size:7.0pt;font-family:"Times New Roman",serif;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> <span class="apple-converted-space"> </span></span><b><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Weakly
Supervised Learning for Brain Connectivity Analysis:</span></b><span class="apple-converted-space"><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> </span></span><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Innovations
in weakly supervised learning techniques for analyzing brain connectivity patterns and networks. </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
<p class="MsoNormal" style="margin-left:36.0pt;text-align:justify;caret-color:rgb(33,33,33);font-variant-caps:normal;orphans:auto;widows:auto;-webkit-text-stroke-width:0px;word-spacing:0px">
<span style="font-family:Symbol;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">·</span><span lang="EN-US" style="font-size:7.0pt;font-family:"Times New Roman",serif;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> <span class="apple-converted-space"> </span></span><b><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Foundational
Models for Classification and Predictive Modeling:</span></b><span class="apple-converted-space"><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> </span></span><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Development
and application of foundational models for classification and predictive modeling tasks in neuroscience. </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<span style="font-family:Symbol;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">·</span><span lang="EN-US" style="font-size:7.0pt;font-family:"Times New Roman",serif;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> <span class="apple-converted-space"> </span></span><b><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Multimodal
Brain Image Visualization with Advanced Learning Techniques:</span></b><span class="apple-converted-space"><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> </span></span><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Techniques
for visualizing multimodal brain images using advanced learning and visualization methods to aid in data interpretation. </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<span style="font-family:Symbol;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">·</span><span lang="EN-US" style="font-size:7.0pt;font-family:"Times New Roman",serif;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> <span class="apple-converted-space"> </span></span><b><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Ethical
Implications:</span></b><span class="apple-converted-space"><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> </span></span><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Ethical
considerations in the creation, use, and implications of foundational models in neuroscience research and applications. </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<b><u><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">SUBMISSION GUIDELINES:</span></u></b><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">We invite original contributions in the form of full research papers, review articles, or extended abstracts of ongoing works aligned with the
workshop's themes. Full papers should not exceed 8 pages (excluding references), while extended abstracts should be limited to 4 pages. All submissions will undergo a rigorous peer-review process conducted by experts in the field. </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Submission follows the ECCV format (see the ECCV website for format instruction (</span><span style="font-size:11.0pt;color:#467886;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><a href="https://eccv.ecva.net/Conferences/2024/AuthorGuide" title="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Feccv.ecva.net%2FConferences%2F2024%2FAuthorGuide&data=05%7C02%7Cconcetto.spampinato%40unict.it%7C7b63b2e9d82348939e4208dc8fbb3165%7Cbaeefbc83c8b43829126e86bfef46ce6%7C0%7C0%7C63854328137804"><span lang="EN-US">https://eccv.ecva.net/Conferences/2024/AuthorGuide</span></a></span><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">)).
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<b><u><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">WORKSHOP PROCEEDINGS</span></u></b><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">All accepted contributed papers will appear in the ECCV2024 workshop proceedings. </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<b><u><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">WORKSHOP ORGANIZERS</span></u></b><b><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> </span></b><span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Nouria Lakhdar Ghazal - Mohammed V University of Rabat, Morocco </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<span style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Simone Palazzo – University of Catania, Italy </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<span style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Matteo Pennisi - Campus Bio Medico Rome, Italy </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<span style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Federica Proietto Salanitri - University of Catania, Italy </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Shanmuganathan Raman - Indian Institute of Technology, India </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<span style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Concetto Spampinato - University of Catania, Italy </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Andreas Tolias - University of Houston, Texas </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">Jonathan Xu - University of Waterloo, Canada </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"> </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
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<span lang="EN-US" style="font-size:11.0pt;color:black;mso-ligatures:standardcontextual;mso-fareast-language:EN-US">We hope to see you in Milan! </span><span style="font-size:11.0pt;mso-ligatures:standardcontextual;mso-fareast-language:EN-US"><o:p></o:p></span></p>
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