CVPR 2026 Call for Papers 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 Important Dates Abstract Submission Deadline *: Paper Submission Deadline*: Supplementary Materials Deadline: Reviews Released: Rebuttal Period: Final Decisions: Nov 07, 2025 AOE Nov 13, 2025 AOE Nov 20, 2025 AOE January 22, 2026 January 22-29, 2026 February 20, 2026 * Date is fixed, no extension will be given AOE = Anywhere On Earth Paper Submission All submissions will be handled electronically via the OpenReview conference submission website https://openreview.net/group?id=thecvf.com/CVPR/2026/Conference . All authors must agree to the policies stipulated below. The submission deadline is November 13, 2025, 11:59pm Anywhere on Earth (UTC-12) and will not be changed. Supplementary materials can be submitted until November 20, 2025, 11:59pm Anywhere on Earth (UTC-12). An up-to-date OpenReview profile for all co-authors is required to submit a paper. Note that new profiles created without an institutional email will go through a moderation process which can take up to two weeks . New profiles created with an institutional email will be activated automatically. Submission Requirements and Policies Dual Submission Policy. By submitting to CVPR, authors confirm that no substantially similar paper has been or will be submitted to another conference or workshop during the review period (November 13, 2025 – February 20, 2026). For complete dual submission guidelines and prior work policies, see the Author Guidelines on the conference website. Review Process Agreement. By submitting a paper, authors agree to participate in the review process and understand that OpenReview will automatically match manuscripts to appropriate reviewers and area chairs based on expertise. Mandatory Reviewer Service. All authors commit to serve as reviewers, area chairs, or senior area chairs when invited by the program chairs. Exceptions are granted only for truly exceptional circumstances that must be: Disclosed to the program chairs in advance Approved by the program chairs as valid reasons for exemption This policy follows PAMI Technical Committee guidelines and recent conference practices. IEEE submission policies: https://conferences.ieeeauthorcenter.ieee.org/author-ethics/guidelines-and-policies/submission-policies/ Publication and Patent Disclosure All accepted papers will be publicly released by the Computer Vision Foundation (CVF) two weeks before the conference. Authors considering patent applications should note that the paper's official public disclosure date is whichever occurs first: Two weeks before the conference, or When authors make the paper publicly available themselves More information about CVF: https://www.thecvf.com Successful Page Load