ICCV: International Conference on Computer Vision

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2026 or later

 
 

All CFPs on WikiCFP

Event When Where Deadline
ICCV 2025 International Conference on Computer Vision
Oct 19, 2025 - Oct 25, 2025 Honolulu, Hawaii TBD
ICCV 2023 International Conference on Computer Vision
Oct 2, 2023 - Oct 6, 2023 Paris, France Mar 8, 2023
ICCV 2021 International Conference on Computer Vision
Oct 11, 2021 - Oct 17, 2021 Montreal, Canada Mar 17, 2021 (Mar 10, 2021)
ICCV 2019 International Conference on Computer Vision
Oct 27, 2019 - Nov 3, 2019 Seoul, Korea Mar 1, 2019
ICCV 2017 International Conference on Computer Vision
Oct 22, 2017 - Oct 29, 2017 Venice, Italy Mar 17, 2017
ICCV 2013 IEEE International Conference on Computer Vision
Dec 1, 2013 - Dec 8, 2013 Sydney, Australia Apr 12, 2013 (Apr 8, 2013)
ICCV 2011 The 13th International Conference on Computer Vision
Nov 6, 2011 - Nov 13, 2011 Barcelona, Spain Mar 1, 2011
ICCV 2009 International Conference on Computer Vision
Sep 29, 2009 - Oct 2, 2009 Kyoto, Japan Mar 10, 2009
 
 

Present CFP : 2025

Call for Papers

Papers in the main technical program must describe high-quality, original research. Topics of interest cover 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
Computational imaging
Computer vision for robotics
Computer vision for social good
Computer vision theory
Datasets and evaluation
Deep learning architectures and techniques
Document analysis and understanding
Efficient and scalable vision
Embodied vision: Active agents, simulation
Event-based cameras
Explainable computer vision
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
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
Transfer/ low-shot/ continual/ long-tail learning
Transparency, fairness, accountability, privacy and ethics in vision
Video: Action and event understanding
Video: Low-level analysis, motion, and tracking
Vision + graphics
Vision, language, and reasoning
Vision applications and systems



Important Dates

Paper Registration Deadline*:
Submission and Supplementary Materials Deadline*:
Reviews Released:
Rebuttal Period:
Final Decisions:


March 3rd, 2025 11:59pm Pacific Time
March 7th, 2025 11:59pm Pacific Time
May 9th, 2025
May 10-16, 2025
June 20th, 2025

* Date is fixed, no extension will be given

Paper Submission

All submissions will be handled electronically via the OpenReview conference submission website https://openreview.net/group?id=thecvf.com/ICCV/2025/Conference. All authors must agree to the policies stipulated below. The paper and supplementary materials submission deadline is March 7th, 2025 11:59pm Pacific Time and will not be changed.
Policies

In submitting a manuscript to ICCV, 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 7, 2025 – June 20, 2025). Please refer to the Author Guidelines on the conference website for additional details on dual submissions and guidelines concerning prior work.

By submitting a paper to ICCV, 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.

All accepted papers will be made publicly available by the Computer Vision Foundation (CVF) two weeks before the conference. Authors wishing to submit a patent understand that the paper's official public disclosure is two weeks before the conference or whenever the authors make it publicly available, whichever is first. More information about CVF is available at http://www.cv-foundation.org/.

 

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