Call for papers

We invite submissions to the "Gaze meets Computer Vision (GMCV): Bridging Human Attention and Machine Perception" workshop at WACV 2025. The workshop seeks original research contributions, as well as surveys and position papers, that focus on the integration of gaze data with computer vision tasks. We welcome papers addressing a broad range of topics, including but not limited to:

• Gaze-Informed Visual Understanding

• Gaze-based Human-AI Interaction

• Attention Modeling in Vision Systems

• Gaze-Driven Annotation and Labeling

• Egocentric Vision and Embodied AI

• Gaze Enhanced Medical Imaging

• Understanding Human intention and Goal inference

• Eye-tracking in Visual Search and Navigation

• Explainable AI and Trustworthy Vision Systems

• Ethical Considerations of using eye-tracking data 

• Gaze Data Quality and Integration

• State-of-the-art method integrating Gaze in ML

• Gaze applications in cognitive psychology, radiology, neuroscience, AR/VR, autonomous cars, privacy, etc.

• Gaze-Driven Behavioral Analytics 

• Cross-Modal Learning with Gaze and Vision

• Real-Time Gaze Prediction and Analysis 

• Gaze-Guided Object Detection and Recognition

• ⁠Learning from Noisy Gaze Data

• ⁠Temporal Dynamics of Gaze in Video Analysis 

• Privacy-Preserving Gaze Analysis 

• Gaze in Low-Light and Challenging Environments 

• Personalization in Vision Systems via Gaze Data 

• Other Applications of Gaze and Computer Vision

Submission Tracks:

We are accepting submissions for two distinct tracks: Full Paper Track and Extended Abstract Track. Both offer unique opportunities to showcase your work at the workshop. 

• Full Paper Track (Archival). This track is for original research contributions that will be published in the conference proceedings and included in IEEE Xplore. Full papers in this track undergo rigorous peer review and are indexed separately from the main conference proceedings, ensuring visibility and recognition in the field. 

  • Page Limit: Up to 8 pages (excluding references and appendices) 

  • Review Process: Double-blind peer review 

  • Publication: IEEE Xplore, archival indexing 

• Extended Abstract Track (Non-Archival). This track is for late-breaking research, and preliminary results, or if you wish to present previously published work. Submissions in this track will also undergo double-blind peer review, without committing your work to archival publication. This means that presenting at Gaze Meets ML does not preclude future submissions to other journals or conferences. 

  • Page Limit: Up to 4 pages (excluding references and appendices) 

  • Review Process: Double-blind peer review 

  • Publication: Non-archival, no restrictions on future publication 

Submission Guidelines: 

• Formatting: All submissions must adhere to the WACV template and guidelines. 

• References & Appendices: Include references and any appendices within the same PDF document. These sections are excluded from the page count limit. 

• Review Process: All submissions, regardless of track, will undergo a double-blind peer review to ensure quality and fairness.

How and where to submit:

• 📥 You can submit your paper on CMT by clicking here. 

• 🗓️ Submission Deadline: November 22nd, 2024 November 30th, 2024
  You can find all the important dates and deadlines here.

Best paper awards and financial support for presenters:

• Thanks to the support of Gazepoint, we are offering two GP3 SD UX eye-tracking devices as Best Paper Awards. Winners will be announced during the workshop.

• Depending on funding availability, we will cover the registration fees for presenting authors, with a focus on supporting underrepresented minorities.