Capabilities
What human-centric capabilities are required for intelligent systems operating in open environments?
The 1st HOUR Workshop · WACV 2027
Human-Centric
Open-World Understanding and Reasoning
Connecting perception, interaction, multimodal reasoning, embodied intelligence, open-world generalization, and reliable evaluation.
Orlando, FloridaWACV 2027
January 4 or 5Exact date to be announced
Half-dayIn-person workshop
Workshop accepted. HOUR will be held as a half-day workshop at WACV 2027. The precise date and time will be announced soon.
About HOUR
Understanding people as agents in an open world
Computer vision and AI systems increasingly need to understand people whose actions, interactions, goals, and intentions unfold in complex environments. Progress spans activity understanding, human-object interaction, affordance learning, multimodal grounding, foundation models, embodied intelligence, open-world learning, and reliability evaluation.
HOUR—Human-Centric Open-World Understanding and Reasoning—brings these complementary directions together under a shared goal. The workshop will connect perception, spatial grounding, interaction and intent reasoning, generalization, and reliability diagnosis while encouraging new collaborations across communities.
Evidence
How should visual, linguistic, gestural, and contextual evidence be combined when observations are incomplete or ambiguous?
Evaluation
How should benchmarks reveal when and why systems fail rather than reporting only aggregate accuracy?
Topics of Interest
Research directions across human-centric AI
Human actions, activities, pose, motion, and tracking
Hand-object, human-object, and human-human interactions
Affordance grounding, intent, goals, and anticipation
Spatial, gestural, and referential reasoning
Vision-language and multimodal foundation models
Embodied perception, robot learning, and human-robot interaction
Open-vocabulary, zero-shot, and few-shot learning
Domain generalization and out-of-distribution robustness
Datasets, benchmarks, reliability, and failure attribution
Keynote Speakers
Perspectives across the community
Talk titles and the final program will be announced after the workshop schedule is assigned.
Research on computer vision and machine learning, focusing on video understanding, multimodal perception, embodied AI, and visual recognition.
Research on human-centric computer vision and video understanding, with a focus on contextual AI systems for understanding and assisting with human activity.
Research on multimodal learning, computer vision, and efficient learning systems, including foundation models, human-centric AI, and privacy-preserving learning.
Research on computer vision, machine learning, and biometrics, with a focus on human recognition, face-related analysis, and 3D vision.
Research on multimodal video understanding, particularly egocentric video and vision-language methods for retrieval, grounding, and captioning.
Call for Papers
Share research, resources, and emerging perspectives
HOUR welcomes original research, benchmark and dataset studies, diagnostic analyses, position papers, and works in progress.
Archival workshop papers
Submissions of at least five pages following the WACV format. Accepted archival papers will be eligible for publication in the WACV 2027 Workshop Proceedings.
Non-archival contributions
Extended abstracts and position papers presenting emerging ideas, findings, resources, or community perspectives. These submissions will not appear in the proceedings.
Submission site: OpenReview link to be announced. Submissions will be reviewed for relevance, technical quality, clarity, and potential to stimulate discussion.
Important Dates
Workshop timeline
Workshop website and call for papers live
Paper and extended-abstract submission deadline
Author notification deadline for archival papers
Accepted-paper metadata due to IEEE
Camera-ready deadline for archival papers
HOUR at WACV 2027
Deadlines are based on the WACV 2027 workshop timeline. Additional submission dates will be announced.
Preliminary Program
A focused half-day program
Exact times and presentation titles will be added after WACV assigns the workshop session.
01
Welcome and workshop introduction
Opening remarks and framing questions for HOUR
02
Invited keynote talks
Perspectives spanning human-centric vision, motion, egocentric understanding, and embodied AI
03
Contributed oral presentations
Selected archival and non-archival contributions
04
Poster session and discussion
Interactive presentation of accepted work
05
Closing remarks
Workshop summary and future community activities
Organizing Team
Researchers across academia and industry
Works on robust human-centric AI, computer vision, and multimodal foundation models.
Works on vision-language methods for human-object interaction and affordance grounding.
Works on robust foundation-model adaptation, continual learning, and robotics.
Works on vision-language models, 3D perception, scene understanding, and robotics.
Works on machine learning, computer vision, autonomous driving, and reliable AI.
Works on human-object interaction detection, evaluation, and benchmark development.
Leads research on healthcare AI, multimodal learning, and foundation models.
Works on computer vision, deep learning, generative AI, and robust visual understanding.
Program Committee
Reviewer interest form coming soon
We will soon invite researchers with relevant expertise to express interest in reviewing for HOUR.
Contact
Questions about HOUR?
For workshop and submission questions, contact the organizing team.
hour.workshops@gmail.com