Full papers
Original research contributions with comprehensive experiments and analysis.
Computer Vision/CORE Unranked
GAPBIO 2027
WACV2027 Workshop on Generative, Adversarial and Presentation Attacks in Biometrics
GAPBIO 2027 is a workshop affiliated with WACV 2027 focused on geometric and topological methods in biological image analysis. It brings together researchers from computer vision, machine learning, and computational biology to advance methods for analyzing complex biological structures using geometric and topological approaches.
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Short papers
Preliminary results, novel methods in early stages, or focused case studies.
Journal track
Extended versions of previously published work suitable for journal submission.
Research areas in scope
01
Topics
Geometric deep learning for biological imagesTopological data analysis in biologyShape analysis and morphometrics3D/4D image segmentation and reconstructionCell and tissue modelingBioimage registration and alignmentGraph-based representations of biological networksInterpretability and explainability in biological vision modelsApplications in neuroscience, histopathology, and developmental biology
Policies worth checking twice
- Submissions must be anonymized for double-blind review.
- Full papers are limited to 8 pages, short papers to 4 pages, excluding references.
- Dual submission to other conferences or journals is not permitted during review.
- Author lists and order cannot be changed after the submission deadline.
- Authors must include a statement on the use of AI tools in the submission.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026