Conference Information

ECCV 2026: European Conference on Computer Vision

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Submission Date:
2026-03-06 Closed
Notification Date:
2026-05-09
Conference Date:
2026-09-08
Location:
Malmo, Sweden
Years:
18
CCF: B   ICORE: A*   QUALIS: A1   Viewed: 1160392   Tracked: 383   Attend: 55
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Conference Partner Index (CP-I)

89.1 / 100
Ranked #90 of 5,763 conferences · Top 2%

#3 of 246 in Computer Vision & Pattern Recognition

Academic recognition (35%)
100
Submission selectivity (20%)
81
Editions held (20%)
90
Community attention (10%)
79
Public record completeness (15%)
80

Inputs used: Listed as CCF B, QUALIS A1 · Acceptance rate: 27.7% (mean of 5 editions on file) · Editions on record: 27 · Researchers following it here: 383 · Researchers who opened this page in the past 24 months: 24

Missing from the public record: Past editions (+3.0)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 100% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.2 · Computed 2026-10-30

Call For Papers

ECCV 2026 (European Conference on Computer Vision) is a CCF B / ICORE A* / QUALIS A1 conference held in Malmo, Sweden on 2026-09-08. The paper submission deadline is 2026-03-06. Acceptance notifications are sent on 2026-05-09.

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
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Acceptance Ratio

Average acceptance rate: 22% over 10 years (1998–2024).

YearSubmittedAcceptedAccepted(%)
20248584239527.9%
20205025136127.1%
2018243977631.8%
2016156141526.6%
2014144436325.1%
2006900404.4%
2004555417.4%
2002600457.5%
200026611643.6%
19982234218.8%

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