Skip to yearly menu bar Skip to main content


ECCV 2026 Call for Papers

 

Topics

Papers in the main technical program must describe high-quality, original research. Topics of interest include all aspects of computer vision and pattern recognition, including, but not limited to:

 
  • 3D from multi-view and sensors
  • 3D from single images
  • Adversarial attack and defense
  • Autonomous driving
  • Biometrics
  • Camera pose estimation and calibration
  • Computational imaging
  • Computer vision for robotics
  • Computer vision for social good
  • Deep learning architectures and techniques
  • Document analysis and understanding
  • Efficient and scalable vision
  • Embodied vision: active agents, simulation
  • Event-based cameras
  • Explainable computer vision
  • First person (egocentric) vision
  • Geometric deep learning
  • Humans: face, body, pose, gesture, movement
  • Image and video synthesis and generation
  • Low-level vision
  • Machine learning (other than deep learning)
  • Medical and biological vision, cell microscopy
  • Multimodal learning (other than language)
  • (Neural) scene representations
  • Object pose estimation and tracking
  • Optimization methods (other than deep learning)
  • Photogrammetry and remote sensing
  • Physics-based vision and shape-from-X
  • Recognition: categorization, detection, retrieval
  • Representation learning
  • Scene analysis and understanding
  • Segmentation, grouping and shape analysis
  • Self-, semi-, meta- and unsupervised learning
  • Synthetic data and simulation
  • Transfer, low-shot, continual, long-tail learning
  • Transparency, fairness, accountability, and ethics in vision
  • Video: action and event understanding
  • Video: low-level analysis, motion, and tracking
  • Vision + graphics
  • Vision for edge devices
  • Vision, language, and reasoning
  • Vision for climate and sustainability
  • Visual localization, SLAM, Structure-from-Motion
  • Safety and privacy

 

 

Important Dates

Paper Registration Deadline:
Submission Deadline:
Supplementary Materials Deadline:
Reviews Released to authors:
Rebuttal Deadline:
Final Decisions:
Camera ready deadline:

Feb 26, 2026 11:00 PM CET or
Mar 05, 2026 11:00 PM CET or
Mar 12, 2026 11:00 PM CET or
May 02, 2026
May 11, 2026 11:00 PM CEST or
Jun 17, 2026
Jun 26, 2026 AOE

See these dates in your profile's time zone and / or add them to your personal calendar here.

Paper Submission 

All submissions will be handled electronically via the OpenReview conference submission website https://openreview.net/group?id=thecvf.com/ECCV/2026/Conference

All authors must agree to the policies stipulated below. Papers must be registered in OpenReview by the paper registration deadline.

The submission deadline will not be extended. Supplementary materials can be submitted after the paper submission deadline until the supplementary materials deadline.

 

Policies

General: ECCV 2026 uses the Springer Nature Code of Conduct for Book Authors as the basis for many of the policies. We therefore urge you to familiarize yourself with these guidelines before preparing and submitting your work to ECCV 2026.

By submitting a manuscript to ECCV, the authors acknowledge that no paper substantially similar in content has been or will be submitted to another conference or workshop during the review period (March 5, 2026 – June 17, 2026). 

By submitting a paper to ECCV, the authors agree to the review process and understand that papers are processed by OpenReview to match each manuscript to the best possible area chairs and reviewers. Moreover, the authors agree that papers will be checked for plagiarism using iThenticate.

The authors should be aware that each accepted paper is expected to be presented at ECCV in-person by an author (or an authorized delegate).

All accepted papers will be made publicly available by Springer and/or the European Computer Vision Association (ECVA) no earlier than four weeks before the conference. Authors wishing to submit a patent understand that the paper’s official public disclosure is four weeks before the conference or whenever the authors make it publicly available, whichever is first. More information about ECVA is available at https://www.ecva.net/.