[visionlist] CVPR 2026 “Rediscovering Intelligence: Can AI Still Learn from Humans?” (ReLearn) workshop and challenge

Kuo, Yen-Ling (cbx8wm) ylkuo at virginia.edu
Tue Mar 3 17:11:07 -05 2026


Dear Colleagues,

We are excited to invite contributions to our CVPR 2026 Workshop on “Rediscovering Intelligence: Can AI Still Learn from Humans?” (ReLearn)<https://relearncvpr26.github.io/ReLearn/>, taking place on Wednesday, June 3, 2026, in Denver, USA.

ReLearn studies the relationship between human and machine intelligence, exploring how cognitive and psychological insights can still guide the future of AI. We aim to bridge computer vision, cognitive science, and psychology to study reasoning, social understanding, and hybrid learning to shape the next generation of intelligent systems.

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Call for Workshop Contributions

We invite authors to submit unpublished papers that align with our core themes:

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Human-inspired foundations of reasoning and Theory of Mind (ToM).
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Learning with humans via feedback, interaction, and pedagogical intent.
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Beyond the human blueprint through self-supervision and autonomous discovery.
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Hybrid intelligence, trust, alignment, and safety.

Submission Guidelines:

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Format: CVPR 2026 template (double column, max 8 pages excluding references).
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Reviewing: Single-stage, double-blind via OpenReview<https://openreview.net/group?id=thecvf.com/CVPR/2026/Workshop/ReLearn>.
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Important Dates:
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Submission Deadline: March 6 11, 2026
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Notification to Authors: March 20 25, 2026
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Camera-Ready: April 10, 2026
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Accepted papers will be published in the official CVPR Workshops proceedings and the Computer Vision Foundation (CVF) Open Access archive.

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Call for Participation in The Multimodal Theory of Mind (ToM) Challenge

Accompanying the workshop is the Multimodal Theory of Mind (ToM) Challenge, which tasks participants with inferring goals and beliefs from videos, textual scene descriptions, and dialogues.

The challenge features two distinct tracks:

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Track 1: Reasoning from a single agent's behavior.
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Track 2: Reasoning from multi-agent interactions.

Timeline: The challenge is currently open, with final submissions due May 3 2026 on the challenge website<https://relearnchallenge.onrender.com/>.

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Important Links

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Workshop Website: https://relearncvpr26.github.io/ReLearn/<https://relearncvpr26.github.io/ReLearn/>
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Challenge Website: https://relearnchallenge.onrender.com/<https://relearnchallenge.onrender.com/>

Thanks for Lambda’s sponsorship, we will provide awards for best papers, challenges winners, and accepted papers.

We look forward to your contributions and to seeing you in Denver to discuss the future of human and machine intelligence!

Best regards,
ReLearn Organizing Committee


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