What is the submission deadline for ICCV 2025?

The paper submission deadline for ICCV 2025 (International Conference on Computer Vision) is 2025-03-07.

Where is ICCV 2025 held?

ICCV 2025 is held in Honolulu, Hawaii, USA.

When does ICCV 2025 take place?

ICCV 2025 takes place on 2025-10-19.

What is the ranking of ICCV?

ICCV is ranked CCF A, ICORE A*, QUALIS A1. These are categorical rankings maintained by the respective bodies (China Computer Federation, ICORE Inc., and Brazilian CAPES).

Conference Information

ICCV 2025: International Conference on Computer Vision

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Submission Date:

2025-03-07

Notification Date:

2025-06-25

Conference Date:

2025-10-19

Location:

Honolulu, Hawaii, USA

CCF: A ICORE: A* QUALIS: A1 Viewed: 2947174 Tracked: 507 Attend: 59

Call For Papers

ICCV 2025 (International Conference on Computer Vision) is a CCF A / ICORE A* / QUALIS A1 conference held in Honolulu, Hawaii, USA on 2025-10-19. The paper submission deadline is 2025-03-07. Acceptance notifications are sent on 2025-06-25.

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

Last updated by Dou Sun on 2025-10-28

Acceptance Ratio

Average acceptance rate: 19.6% over 9 years (2001–2025).

Year	Submitted	Accepted	Accepted(%)
2025	11239	2698	24%
2019	4303	1075	25%
2017	2143	621	29%
2015	1698	525	30.9%
2013	1629	454	27.9%
2007	1190	281	23.6%
2005	1230	45	3.7%
2003	960	43	4.5%
2001	596	45	7.6%

Best Papers

Year	Best Papers
2023	Passive Ultra-Wideband Single-Photon Imaging
2023	Adding Conditional Control to Text-to-Image Diffusion Models
2021	Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
2019	Specifying Object Attributes and Relations in Interactive Scene Generation
2019	Asynchronous Single-Photon 3D Imaging
2019	PLMP — Point-Line Minimal Problems in Complete Multi-View Visibility
2019	SinGAN: Learning a Generative Model from a Single Natural Image
2017	Mask R-CNN
2015	Deep Neural Decision Forests
2013	From Large Scale Image Categorization to Entry-Level Categories
2011	Relative Attributes
2009	Discriminative models for multi-class object layout
2007	Population Shape Regression From Random Design Data
2005	Globally Optimal Estimates for Geometric Reconstruction Problems
2003	Image-based Rendering using Image-based Priors
2003	Image Parsing: Unifying Segmentation, Detection and Recognition
2003	Detecting Pedestrians using Patterns of Motion and Appearance
2001	The Space of All Stereo Images
2001	Probabilistic Tracking with Exemplars in a Metric Space
1999	A Theory of Shape by Space Carving
1999	Euclidean Reconstruction and Reprojection up to Subgroups
1998	The Problem of Degeneracy in Structure and Motion Recovery from Uncalibrated Image Sequences
1998	Self-Calibration and Metric Reconstruction in spite of Varying and Unknown Internal Camera Parameters

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