Call for Submissions: IEEE CVPR 2026

Conference dates: 2 – 6 June, 2026 | Denver, Colorado

The IEEE/CVF Conference on Computer Vision and Pattern Recognition

The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

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Why Participate?

• Share your work with international experts and peers, and gain valuable feedback

Opportunities

• Present your emerging ideas and applications
• Showcase your demos of innovative systems, tools, prototypes, and interactive experiences
• Utilize your platform to share new advances, ideas, and solutions
• Highlight your contributions
• Contribute to event programming and technical content
• Experience groundbreaking keynote speeches, peer-reviewed technical papers, and posters
• Take part in emerging presentations and demos

Topics

• 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 and so much more!

Submit your content

In addition to submitting your paper to IEEE/CVF CVPR 2026, you are also encouraged to upload the data related to your paper to IEEE DataPort.  IEEE DataPort is IEEE's data platform that supports the storage and publishing of datasets while also providing access to thousands of research datasets. Uploading your dataset to IEEE DataPort will strengthen your paper and will support research reproducibility.  Your paper and the dataset can be linked, providing a good opportunity for you to increase the number of citations you receive.  Data can be uploaded to IEEE DataPort prior to submitting your paper or concurrent with the paper submission.  Thank you!