Call for Submissions: IEEE CVPR 2026

2 – 6 June, 2026 | Denver, Colorado

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!