Where is CVPR 2026 held?

CVPR 2026 is held in Denver, Colorado, USA.

When does CVPR 2026 take place?

CVPR 2026 takes place on 2026-06-03.

What is the ranking of CVPR?

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

Conference Information

CVPR 2026: IEEE Conference on Computer Vision and Pattern Recognition

Q: What is the submission deadline for CVPR 2026?

The paper submission deadline for CVPR 2026 (IEEE Conference on Computer Vision and Pattern Recognition) is 2025-11-06.

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Submission Date:

2025-11-06

Notification Date:

2026-02-20

Conference Date:

2026-06-03

Location:

Denver, Colorado, USA

CCF: a CORE: a* QUALIS: a1 Viewed: 46948829 Tracked: 715 Attend: 119

Call For Papers

CVPR 2026 (IEEE Conference on Computer Vision and Pattern Recognition) is a CCF A / CORE A* / QUALIS A1 conference held in Denver, Colorado, USA on 2026-06-03. The paper submission deadline is 2025-11-06. Acceptance notifications are sent on 2026-02-20.

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 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  
    Computer Vision for Robotics  
    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 in 2025-09-25

Acceptance Ratio

Average acceptance rate: 17.2% over 23 years (1997–2025).

Year	Submitted	Accepted	Accepted(%)
2025	13008	2878	22.1%
2024	11532	2719	23.6%
2023	9155	2360	25.8%
2022	8161	2067	25.3%
2021	7015	1661	23.7%
2020	6656	1470	22.1%
2019	5160	1294	25.1%
2018	3303	979	29.6%
2017	2620	783	29.9%
2016	2145	643	30%
2015	2123	602	28.4%
2014	1807	540	29.9%
2009	1464	61	4.2%
2008	1593	63	4%
2007	1250	60	4.8%
2006	1131	54	4.8%
2005	1160	74	6.4%
2004	873	54	6.2%
2003	905	60	6.6%
2001	920	78	8.5%
2000	466	66	14.2%
1998	453	42	9.3%
1997	544	62	11.4%

Best Papers

Year	Best Papers
2023	Planning-oriented Autonomous Driving
2023	Visual Programming: Compositional visual reasoning without training
2022	Learning to Solve Hard Minimal Problems
2021	GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields
2020	Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild
2019	A Theory of Fermat Paths for Non-Line-of-Sight Shape Reconstruction
2018	Taskonomy: Disentangling Task Transfer Learning
2017	Learning from Simulated and Unsupervised Images through Adversarial Training
2017	Densely Connected Convolutional Networks
2016	Deep Residual Learning for Image Recognition
2015	DynamicFusion: Reconstruction and Tracking of Non-rigid Scenes in Real-Time
2014	What Camera Motion Reveals About Shape with Unknown BRDF
2013	Fast, Accurate Detection of 100,000 Object Classes on a Single Machine
2012	A Simple Prior-free Method for Non-Rigid Structure-from-Motion Factorization
2011	Real-time human pose recognition in parts from single depth images
2010	Efficient computation of robust low-rank matrix approximations in the presence of missing data using the L1 norm
2009	Single image haze removal using dark channel prior
2008	Global stereo reconstruction under second order smoothness priors
2008	Beyond sliding windows: Object localization by efficient subwindow search
2007	Dynamic 3D Scene Analysis from a Moving Vehicle
2006	Putting Objects in Perspective
2005	Real-Time Non-Rigid Surface Detection
2004	Programmable Imaging using a Digital Micromirror Array
2003	Object Class Recognition by Unsupervised Scale-Invariant Learning
2001	Morphable 3D models from video
2000	A New Algorithm for Non-Rigid Point Matching
1999	Robust Hierarchical Algorithm for Constructing a Mosaic from Images of the Curved Human Retina

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Related Journals

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