CVPR 2026

Deadlines
Computer Vision/CORE Unranked

CVPR 2026

CVPR 2026 Workshop on Machine Unlearning for Computer Vision

Jun 03 2026Denver, Colorado, United StatesOfficial workshop site Site reachable

The MUV@CVPR2026 workshop focuses on machine unlearning for vision, bringing together researchers to advance methods for selectively forgetting undesired data or concepts in recognition and generative models. It emphasizes responsible AI practices, privacy compliance (e.g., GDPR, CCPA), and ethical deployment of visual intelligence through technical innovation and regulatory alignment.

Official CFP Back to deadlines Verified September 9, 2026

Key deadlines

Verified September 9, 2026

Abstract registration

March 13, 2026

AoE

Full paper

March 17, 2026

AoE

Workshop timeline

Submission and decisions

Abstract registrationKey deadline

March 13, 2026 · AoE

Full paperKey deadline

March 17, 2026 · AoE

Paper fit

Contribution paths

A strong submission should clearly identify its contribution and evaluate it appropriately.

Proceedings Track

Full papers (up to 8 pages). Accepted papers will be included in CVPR proceedings.

No Proceedings Track

Extended abstracts (up to 4 pages) or already published works (up to 8 pages). Ideal for preliminary results or stimulating discussion.

Research areas in scope

01

Core methodologies for machine unlearning in vision

data-centric approaches (curation, selective removal)parameter-centric strategies (fine-tuning)training-free steering techniques (refusal vectors, prompt editing)
02

Applications of unlearning in generative AI

safe image and video generation that avoids copyrighted, explicit, or biased content
03

Unlearning for recognition tasks

face identificationmedical imagingvideo classification
04

Ethical and legal implications of unlearning in vision

privacy regulationscopyright compliance

Policies worth checking twice

  • Submissions must use the CVPR 2026 Author Kit (LaTeX/Word).
  • Follow all CVPR 2026 author instructions and submission policies.
  • All submissions must be anonymized for double-blind review.
  • Papers accepted to CVPR 2026 main conference may be submitted to the No Proceedings track.
  • Submissions to another CVPR 2026 workshop are not permitted (for Proceedings Track).

Official sources

Compiled from the official call for papers. The organizers’ pages remain authoritative.

Last verified September 9, 2026