Información de la conferencia

CVPR 2026: IEEE Conference on Computer Vision and Pattern Recognition

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Día de Entrega:
2025-11-06
Fecha de Notificación:
2026-02-20
Fecha de conferencia:
2026-06-03
Ubicación:
Denver, Colorado, USA
CCF: A   ICORE: A*   QUALIS: A1   Vistas: 50760658   Seguidores: 717   Asistentes: 119

Índice Conference Partner (CP-I)

90,7 / 100
Puesto n.º 55 de 5.650 congresos · 1% superior

N.º 1 de 241 en Visión por computador y reconocimiento de patrones

Reconocimiento académico (35%)
100
Selectividad en la revisión (20%)
85
Ediciones celebradas (20%)
92
Atención de la comunidad (10%)
83
Integridad del registro público (15%)
80

Datos utilizados: Categorías: CCF A, QUALIS A1 · Tasa de aceptación: 24.1% (media de 5 ediciones registradas) · Ediciones documentadas: 29 · Investigadores que lo siguen aquí: 717 · Investigadores que abrieron esta página en los últimos 24 meses: 42

Falta en el registro público: Ediciones anteriores (+3,0)
Los organizadores pueden añadirlo desde esta página tras reclamar el congreso; las puntuaciones se recalculan cada noche. Cómo subir esta puntuación

Confianza 100 %: la parte de la puntuación respaldada por datos observados y no por la línea base neutra. Cómo se calcula esta puntuación · Ver la clasificación · Versión del algoritmo 1.1 · Calculado el 2026-09-04

Solicitud de Artículos

CVPR 2026 (IEEE Conference on Computer Vision and Pattern Recognition) is a CCF A / ICORE 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
Última actualización por Dou Sun el

Tasa de aceptación

Tasa de aceptación media: 17.2% en 23 años (1997–2025).

AñoEnviadosAceptadosAceptados(%)
202513008287822.1%
202411532271923.6%
20239155236025.8%
20228161206725.3%
20217015166123.7%
20206656147022.1%
20195160129425.1%
2018330397929.6%
2017262078329.9%
2016214564330%
2015212360228.4%
2014180754029.9%
20091464614.2%
20081593634%
20071250604.8%
20061131544.8%
20051160746.4%
2004873546.2%
2003905606.6%
2001920788.5%
20004666614.2%
1998453429.3%
19975446211.4%

Los Mejores Artículos

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

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AA*91,9ICMLInternational Conference on Machine Learning2026-01-232026-07-06
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