CVPR 2026 Workshop on
Computer Vision for Children (CV4CHL)

Bringing pediatricians, psychologists, educationists, clinicians and CV researchers together to think about the future.

About CV4CHL

Current computer vision (CV) research and applications often prioritize adult-focused solutions, while progress in CV designed specifically for children's development, health, and education has lagged behind. Our workshop aims to spotlight this critical gap and bring together researchers from diverse fields to discuss the future of CV design and its applications for children.

In the era of advanced visual intelligence, developing bespoke CV systems for children holds special significance for healthcare, education, and developmental support.

Where

Denver, Colorado, USA

When

Wed June 3 - Sun June 7, 2026
(Speficic dates TBD)

Overview

Key themes and research directions we will explore at CV4CHL.

Why Computer Vision for Children?

  • Emerging Frontier
    • Cutting-edge CV technologies, such as vision-language models (VLMs) and large multimodal models, have the potential to support children's development, education, and mental health, opening up a vital new frontier for research.
  • Pediatric Healthcare
    • CV in pediatric healthcare is essential, as early diagnosis of childhood diseases through medical imaging and video analysis can lead to timely interventions, improving prognoses and reducing infant mortality rates.
  • Global Impact
    • CV can provide valuable tools for children in low-resource countries, helping bridge gaps in education, healthcare, and other developmental supports through scalable and accessible visual solutions.

Topics of Interest

  • Vision for Child Development
    • Developmental machine learning and computer vision approaches.
    • Vision systems for monitoring and supporting child development milestones.
  • Vision for Pediatric Healthcare
    • Medical imaging for childhood diseases and conditions.
    • Early diagnosis and screening using computer vision.
    • Video analysis for developmental disorder detection.
  • Vision for Education
    • Educational tools powered by computer vision.
    • Assistive technologies for children with special needs.
  • Vision for Child Psychology
    • Emotion recognition and mental health monitoring.
    • Social interaction analysis and support systems.
  • Ethics & Social Impact
    • Privacy considerations for CV systems involving children.
    • Ethical frameworks for deploying CV technologies with children.
    • Social robotics and human-robot interaction for children.

Call for Papers

The Workshop on Computer Vision for Children (CV4CHL) at CVPR 2026 invites submissions presenting innovative research in computer vision that addresses key challenges in child education, psychology, pediatrics, child development, social impact, and ethics. We also welcome broader research exploring the intersection of computer vision and children. Submissions may introduce new models, datasets, benchmarks, or applications. Topics of interest include, but are not limited to: developmental machine learning, computer vision for healthcare, social robotics, vision for education, vision for social impact, and vision for good.

Submission Tracks

  • Archival Track: Submissions to this track will be considered for publication in the official CVPR 2026 workshop proceedings. Papers should be between 6 to 8 pages in length for the main text, formatted according to the CVPR 2026 paper submission guidelines. There is no page limit for references or appendices. Three selected papers will be presented in an oral session.
  • Non-Archival Track: We invite submissions of ongoing projects, preliminary results, or work published elsewhere (e.g., on arXiv or at other conferences). Submissions should be limited to 6 pages (as extended abstracts), formatted according to the CVPR 2026 paper submission guidelines. These papers will not be included in the official proceedings. One of the papers in the non-archival track will be selected for an oral presentation.

Review Process

Each submission will undergo a rigorous double-blind review by at least three reviewers. Conflicts of interest will be managed through the OpenReview platform.

Program Committee: A diverse committee of experts from computer vision, pediatrics, psychology, education, and social impact will serve as reviewers. The full list will be announced on the workshop website.

Important Dates (AoE)

  • Paper Submission Start: TBD
  • Paper Submission Deadline: May 20, 2026
  • Author Notification: May 30, 2026
  • Workshop Day: TBD

Submission Site

Abstracts and papers can be submitted through the OpenReview Submission Site (Link coming soon).

Invited Keynote Speakers

Sanmi Koyejo

Sanmi Koyejo

Stanford University
Dima Damen

Dima Damen

University of Bristol and Google DeepMind
James M. Rehg

James M. Rehg

University of Illinois Urbana-Champaign
Adam Cross MD

Adam Cross MD (Panel Host)

University of Illinois and OSF Healthcare
Jean-Marc Odobez

Jean-Marc Odobez

Idiap Research Institute and EPFL

Event Schedule

Date: TBD | Location: TBD

Opening Remarks

Keynote 1

Dr. Sanmi Koyejo

Keynote 2

Dr. James M. Rehg

Coffee Break & Poster Discussion

Oral Paper Presentations

Keynote 3

TBD

Keynote 4

TBD

Coffee Break & Poster Discussion

Keynote 5

Dr. Dima Damen

Keynote 6

Dr. Jean-Marc Odobez

Panel Discussion: Computer Vision for Pediatrics

Panelists (Dr. Adam R. Cross & Dr. Ismini Lourentzou) and Audiences

Summary & Closing Remarks

Dr. Ismini Lourentzou

Organizers

Yifan Shen

Yifan Shen

University of Illinois Urbana-Champaign
Xinzhuo Li

Xinzhuo Li

University of Illinois Urbana-Champaign
Samy Tafasca

Samy Tafasca

Idiap Research Institute and EPFL
Jintai Chen

Jintai Chen

HKUST (Guangzhou)
Zhongyi Zhou

Zhongyi Zhou

Google
Ismini Lourentzou

Ismini Lourentzou

University of Illinois Urbana-Champaign
Chopard Daphné

Chopard Daphné

ETH Zürich
Meihuan Huang

Meihuan Huang

Shenzhen Children's Hospital
Ece Özkan Elsen

Ece Özkan Elsen

University of Basel
Guojun Yun

Guojun Yun

Shenzhen Children's Hospital
Xu Cao

Xu Cao

PediaMed AI

Advisory Committee

Jimeng Sun

Jimeng Sun

University of Illinois Urbana-Champaign
Jean-Marc Odobez

Jean-Marc Odobez

Idiap Research Institute and EPFL
Yinda Zhang

Yinda Zhang

Google
Jianguo Cao

Jianguo Cao

PediaMed AI
James M. Rehg

James M. Rehg

University of Illinois Urbana-Champaign
Hui Xiong

Hui Xiong

HKUST (Guangzhou)

Sponsors

Platinum Sponsors

Contact

Location

CVPR 2026 Venue (TBD)

GitHub

PediaMedAI

Email Us

xucao@pediamed.ai