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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">We are pleased to invite submissions for our forthcoming CONTEXTUS Workshop: Understanding Multi-Actor Scene Interaction in Context, to be held in conjunction with ECCV 2026 in Malmö, Sweden.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Real-world environments are inherently interactive and social. Humans rarely act in isolation: behavior unfolds through coordination, negotiation, competition, and collaboration, shaped by shared goals, roles, objects, and evolving contextual
constraints. As embodied AI systems increasingly operate alongside people (assisting, collaborating, or communicating), they must move beyond isolated perception toward understanding interaction dynamics, social influence, anticipation, and causal structure
in situated, multi-human/agent settings.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">The CONTEXTUS workshop addresses a fundamental next step for computer vision: transitioning from object- and action-centric recognition toward socially grounded, context-aware visual intelligence. While major advances have been achieved
in detection, tracking, and action recognition, modeling relational dependencies, joint intention, temporal coherence, and how actions influence and are influenced by others within a scene remain as challenging problems. Context, whether spatial, temporal,
social, or task-level, is central to meaningful interpretation.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">The workshop seeks to bring together researchers working at the intersection of context modeling, multimodal learning, embodied AI, and social intelligence. We encourage submissions presenting novel methods, datasets, benchmarks, theoretical
insights, interdisciplinary perspectives, and real-world applications related to socially aware and context-driven scene understanding.
<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Topics of interest include, but are not limited to:<o:p></o:p></p>
<ul style="margin-top:0cm" type="disc">
<li class="MsoNormal" style="mso-list:l0 level1 lfo1">Multi-human, human-object, and human-scene interaction understanding and generation,<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1">Context-aware scene understanding and representation learning,<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1">Context modeling, contextual memory, and long-term temporal reasoning, <o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1">Long-tail and open-vocabulary recognition using contextual and relational cues,<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1">Context-aware prompting of multimodal foundation models,<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1">Multimodal retrieval-augmented scene understanding, <o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1">Egocentric and exocentric multimodal perception,<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1">Human behavior understanding and social signal processing,<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1">Relational and causal reasoning in videos and multimodal data,<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1">Knowledge injection, procedural knowledge modeling, and structured human-scene understanding,<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1">Temporal reasoning, forecasting, and action anticipation,<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1">Affordance learning and task-oriented scene reasoning,<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1">Neuro-symbolic learning and structured reasoning approaches,<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1">Explainability and interpretability in multimodal interaction models,<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1">Foundation and world models for interaction understanding,<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1">Embodied AI, human-AI interaction, and behavior-conditioned HCI,<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1">Domain adaptation, generalization, robustness, and bias mitigation for social scene understanding, <o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1">Datasets and benchmarks for context-aware interaction understanding,<o:p></o:p></li><li class="MsoNormal" style="mso-list:l0 level1 lfo1">Applications of the above in robotics, healthcare, education, assistive technologies, and smart environments. <o:p></o:p></li></ul>
<p class="MsoNormal" style="margin-left:36.0pt"><o:p> </o:p></p>
<p class="MsoNormal"><b>Submission tracks</b><o:p></o:p></p>
<p class="MsoNormal">We welcome submission to three tracks: <o:p></o:p></p>
<ol style="margin-top:0cm" start="1" type="1">
<li class="MsoNormal" style="mso-list:l1 level1 lfo2">Novel track: novel work, double-blind peer reviewed.<o:p></o:p></li><li class="MsoNormal" style="mso-list:l1 level1 lfo2">Non-archival track: papers published in or accepted at other venues, to be presented during the workshop as posters to increase visibility and encourage further discussion.<o:p></o:p></li><li class="MsoNormal" style="mso-list:l1 level1 lfo2">Challenge track: novel work, double-blind peer reviewed, related to the ongoing ChaLearn UDIVA-HHOI Challenge associated with the workshop.<o:p></o:p></li></ol>
<p class="MsoNormal" style="margin-left:36.0pt"><o:p> </o:p></p>
<p class="MsoNormal"><b>Important dates</b><o:p></o:p></p>
<p class="MsoNormal">17 July: Novel track submission deadline<o:p></o:p></p>
<p class="MsoNormal">17 July: Non-archival track submission deadline<o:p></o:p></p>
<p class="MsoNormal">31 July: Challenge track submission deadline<o:p></o:p></p>
<p class="MsoNormal">7 August: Notification of acceptance<o:p></o:p></p>
<p class="MsoNormal">13 August: Camera ready<o:p></o:p></p>
<p class="MsoNormal">8-9 Sept: CONTEXTUS workshop<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><b>Invited speakers</b><o:p></o:p></p>
<p class="MsoNormal">Dima Damen (U. Bristol; Deepmind)<o:p></o:p></p>
<p class="MsoNormal">Paul Liang (MIT)<o:p></o:p></p>
<p class="MsoNormal">Juan Carlos Niebles (Stanford; Salesforce)<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><b>Submission details and more information</b><o:p></o:p></p>
<p class="MsoNormal">Please check the official CONTEXTUS 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"><b>Organizers</b><o:p></o:p></p>
<p class="MsoNormal">Cristina Palmero (King’s College London)<o:p></o:p></p>
<p class="MsoNormal"><span lang="ES">Sergio Escalera (Universitat de Barcelona & Computer Vision Center)<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="ES">Albert Clapés (Universitat de Barcelona)<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="ES">Xavier Baró (Universitat de Barcelona)<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="ES">Daniele Berardini (Istituto Italiano di Tecnologia)<o:p></o:p></span></p>
<p class="MsoNormal">Hugo Jair Escalante (The University of Texas at El Paso & INAOE)<o:p></o:p></p>
<p class="MsoNormal"><span lang="ES">Vittorio Murino (Istituto Italiano di Tecnologia & University of Verona)
<o:p></o:p></span></p>
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