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<p class="MsoNormal">[Apologies for cross-posting]<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Dear colleagues,<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">There is still plenty of time to participate in the ChaLearn UDIVA-HHOI Challenge @ ECCV 2026, organized within the CONTEXTUS Workshop at ECCV 2026.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Submission deadline: July 12th, 2026<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">The challenge focuses on advancing research in context-aware human behavior understanding and socially grounded multimodal intelligence, encouraging methods that go beyond isolated action recognition toward understanding how people collaborate,
coordinate, anticipate, and influence one another in real-world environments.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Participants will work with the newly released UDIVA-HHOI dataset, a rich multimodal corpus featuring:<o:p></o:p></p>
<ul style="margin-top:0cm" type="disc">
<li class="MsoListParagraph" style="margin-left:0cm;mso-list:l2 level1 lfo3">non-scripted dyadic collaborative interactions,<o:p></o:p></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l2 level1 lfo3">synchronized audio, video, and transcripts,<o:p></o:p></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l2 level1 lfo3">one exocentric and two egocentric views,<o:p></o:p></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l2 level1 lfo3">contextual metadata and social interaction cues,<o:p></o:p></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l2 level1 lfo3">procedural task information,<o:p></o:p></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l2 level1 lfo3">annotations of verbal and non-verbal human-human-object interaction events,<o:p></o:p></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l2 level1 lfo3">goals, intentions, and causal relationships.<o:p></o:p></li></ul>
<p class="MsoListParagraph"><o:p> </o:p></p>
<p class="MsoNormal">The challenge includes 5 tracks:<o:p></o:p></p>
<ul style="margin-top:0cm" type="disc">
<li class="MsoListParagraph" style="margin-left:0cm;mso-list:l1 level1 lfo4">Track 1: Multimodal Exocentric Event Recognition<o:p></o:p></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l1 level1 lfo4">Track 2: Multimodal Egocentric Event Recognition<o:p></o:p></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l1 level1 lfo4">Track 3: Multimodal Exocentric Event Anticipation<o:p></o:p></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l1 level1 lfo4">Track 4: Multimodal Egocentric Event Anticipation<o:p></o:p></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l1 level1 lfo4">Track 5: Multimodal Exocentric Causal Event Grounding<o:p></o:p></li></ul>
<p class="MsoListParagraph"><o:p> </o:p></p>
<p class="MsoNormal">The top-ranked team in each track will receive a $1,000 USD award, along with certificates and the opportunity to present and publish their work at the ECCV 2026 CONTEXTUS Workshop.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Data, starting kit, track descriptions, and metrics are already available, and baseline models will be released soon.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">We strongly encourage participation from researchers and students working on:<o:p></o:p></p>
<ul style="margin-top:0cm" type="disc">
<li class="MsoListParagraph" style="margin-left:0cm;mso-list:l0 level1 lfo5">multimodal learning,<o:p></o:p></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l0 level1 lfo5">video understanding,<o:p></o:p></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l0 level1 lfo5">egocentric vision,<o:p></o:p></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l0 level1 lfo5">embodied AI,<o:p></o:p></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l0 level1 lfo5">social signal processing,<o:p></o:p></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l0 level1 lfo5">event anticipation,<o:p></o:p></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l0 level1 lfo5">causal reasoning,<o:p></o:p></li><li class="MsoListParagraph" style="margin-left:0cm;mso-list:l0 level1 lfo5">human behavior understanding.<o:p></o:p></li></ul>
<p class="MsoListParagraph"><o:p> </o:p></p>
<p class="MsoNormal">We look forward to seeing new advances toward AI systems capable of understanding human interactions, intentions, and collaborative behavior in complex real-world scenarios.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Challenge website: <a href="https://lap.chalearn.eu/public/udiva-hhoi-challenge-eccv26">
https://lap.chalearn.eu/public/udiva-hhoi-challenge-eccv26</a><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Workshop website: <a href="https://lap.chalearn.eu/public/ECCV26-CONTEXTUS">
https://lap.chalearn.eu/public/ECCV26-CONTEXTUS</a><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Supported by ChaLearn, SurfingTech, and Google.<o:p></o:p></p>
<p class="MsoNormal"><span lang="ES"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="ES">Organizers:<br>
Cristina Palmero (King’s College London)<br>
Sergio Escalera (Universitat de Barcelona & Computer Vision Center)<br>
Albert Clapés (Universitat de Barcelona)<br>
Xavier Baró (Universitat de Barcelona)<br>
Daniele Berardini (Istituto Italiano di Tecnologia)<br>
Hugo Jair Escalante (The University of Texas at El Paso & INAOE)<br>
Vittorio Murino (Istituto Italiano di Tecnologia & University of Verona)<o:p></o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Challenge chairs:<br>
Jeanfed Ramírez Lima, Luis J. Arellano<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Advisory board:<br>
Isabelle Guyon, Jeffrey Cohn<o:p></o:p></p>
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