Skip to yearly menu bar Skip to main content


CVPR 2024

June 17-21, 2024, Seattle, USA

The Thirty-Fourth IEEE/CVF Conference on Computer Vision and Pattern Recognition

Main conference website: https://cvpr.thecvf.com/Conferences/2024


Call for Papers

Papers in the main technical program must describe high-quality, original research. Topics of interest include 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
  • 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  
  • Robotics  
  • Scene analysis and understanding  
  • Segmentation, grouping and shape analysis  
  • Self-& semi-& meta-& 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

Paper Registration Deadline*:
Submission Deadline*:
Supplementary Materials Deadline:
Reviews Released:
Rebuttal Period:
Final Decisions:

November 3, 2023 11:59pm Pacific Time
November 17, 2023 11:59pm Pacific Time
November 26, 2023 11:59pm Pacific Time
January 23, 2024
January 23-30, 2024
February 26, 2024

* Date is fixed, no extension will be given

Paper Submission

All submissions will be handled electronically via the OpenReview conference submission website https://openreview.net/group?id=thecvf.com/CVPR/2024/Conference. All authors must agree to the policies stipulated below. The submission deadline is November 17, 2023 11:59pm Pacific Time and will not be changed. Supplementary materials can be submitted until November 26, 2023 11:59pm Pacific Time.

Policies

In submitting a manuscript to CVPR, authors acknowledge that no paper substantially similar in content has been or will be submitted to another conference or workshop during the review period (November 17, 2023 – February 26, 2024). Please refer to the Author Guidelines on the conference web site for additional details on dual submissions and guidelines concerning prior work.

By submitting a paper to CVPR, the authors agree to the review process and understand that papers are processed by OpenReview to match each manuscript to the best possible area chairs and reviewers.

All accepted papers will be made publicly available by the Computer Vision Foundation (CVF) two weeks before the conference. Authors wishing to submit a patent understand that the paper's official public disclosure is two weeks before the conference or whenever the authors make it publicly available, whichever is first. More information about CVF is available at http://www.cv-foundation.org/.

Tutorials and Workshops

In addition to the main technical program, the conference will include tutorials and workshops. Information about these can be found on tabs on the main CVPR web page:

Tutorials: TBA

Workshops: TBA

For further information and updates about the conference, visit the main conference website, at http://cvpr2024.thecvf.com.

Organizing Committee

General Chairs

  • Octavia Camps (Northeastern University)
  • Rita Cucchiara (University of Modena and Reggio Emilia)
  • Sudeep Sarkar (University of South Florida)
  • Walter Scheirer (University of Notre Dame)
  • Ramin Zabih (Cornell)

Program Chairs

  • Zeynep Akata (University of Tübingen)
  • David Crandall (Indiana University)
  • Ali Farhadi (University of Washington)
  • Robert Pless (George Washing University)
  • Imari Sato (National Institute of Informatics)
  • Jianxin Wu (Nanjing University)

Technical Chair

  • Yoshitomo Matsubara (Spiffy AI)

Tutorial Chairs

  • Katarina Doctor (U.S. Naval Research Lab)
  • Vitomir Struc (University of Ljubljana)

Workshop Chairs

  • Antitza Dantcheva (Inria)
  • Andrew Owens (University of Michigan)
  • Abhinav Shrivastava (University of Maryland)
  • Luisa Verdoliva (University Federico II of Naples)

Broadening Participation Chairs

  • Sara Beery (MIT)
  • Tamara L Berg
  • Michael King (Fit)
  • Adriana Kovashka (Pitt)
  • Roni Sengupta (UNC Chapel Hill)
  • Shuran Song (Columbia University)
  • CJ Taylor (University of Pennsylvania)

Conference Ombuds

  • Derek Hoiem (University of Illinois at Urbana-Champaign)
  • Angjoo Kanazawa (University of California Berkeley)

Advisor to the Program Committee

  • David Forsyth (University of Illinois at Urbana-Champaign)

Demonstration Chairs

  • Sathyanarayanan N. Aakur (Auburn University)
  • Shu Kong (University of Macau, Texas A&M University)

Senior PAMI-TC Ombuds

  • David Forsyth (University of Illinois at Urbana-Champaign)
  • Linda Shapiro (University of Washington)

AI Art Curator

  • Luba Elliott (Independent Curator)

Conference Producer

  • Nicole Finn (c to c events)

Local Chairs

  • Ira Kemelmacher-Shlizerman (UW + Google)
  • Ranjay Krishna (University of Washington)

Publications Chair

  • Eric Mortensen

Publicity Chairs

  • Kosta Derpanis (York University)
  • Shenghua Gao (ShanghaiTech University)
  • Boqing Gong (Google)
  • Jia-Bin Huang (University of Maryland, College Park)
  • Abby Stylianou (Saint Louis University)

Finance Chair

  • Gerard Medioni (Amazon)

Accessibility Chair

  • Danna Gurari (University of Colorado, Boulder)

Doctoral Consortium Chairs

  • Aparna Bharati (Lehigh University)
  • Nathan Jacobs (Washington University in St. Louis)

Website Chair

  • Mauricio Pamplona Segundo (University of South Florida)

Workflow Chair

  • Zhenyu (Sherry) Xue (CVPR)

Virtual Platform Chair

  • Andreas Geiger (University of Tübingen)

Corporate Relations Chairs

  • Brian Clipp (Kitware)
  • Victor Fragoso (Microsoft)

Social Activities Chairs

  • Vítor Albiero (Meta)
  • Giovanni Maria Farinella (University of Catania, Italy)
  • Yale Song (Meta)

Web Developer

  • Lee Campbell (Eventhosts)