First edition. A half-day track of the combined WACV 2027 workshop Vision for Biomedical Discovery, running in the morning and hosting the OWL challenge. CVPath keeps its own call for papers, program committee and reviewing process.
Computational pathology has largely grown inside the medical imaging community (MICCAI, ISBI, COMPAY). With pathology foundation models now openly available, the field has become accessible to computer vision researchers without clinical data access — and its core problems are computer vision problems: gigapixel understanding, real domain shift, weak supervision, dense prediction at cellular scale.
With its applications-first focus, WACV is an ideal venue to build ties with a scientific domain still under-represented at the conference, complementing rather than duplicating existing medical imaging workshops. We expect the track to increase the visibility of open pathology problems within computer vision, accelerate the adoption of state-of-the-art vision methods in pathology, and — through the OWL challenge — deliver a public benchmark for interpretable AI evaluated by both AI researchers and clinical experts.
We invite original research contributions in, but not limited to, the following areas.
All submissions use the WACV 2027 paper format. Page limits exclude references.
| Submission type | Length | Proceedings | Presentation |
|---|---|---|---|
| Regular paper | 8 pages (excluding references) | Archival — published in the WACV 2027 Workshop Proceedings (IEEE Xplore and CVF Open Access) | Oral or poster |
| Short paper | 4 pages (excluding references) | Non-archival — not published in the proceedings | Poster, possibly lightning talk |
| Extended abstract | 2 pages (excluding references) | Non-archival — not published in the proceedings | Poster, possibly lightning talk |
Use the official WACV 2027 author kit (LaTeX or Word), the same template as the main conference. Page limits above exclude references; supplementary material is optional and is not counted in the page limit.
Reviewing is double-blind for all submission types. Remove author names and affiliations, and avoid identifying acknowledgements or self-references in the first person.
Both tracks share one submission site with a track selector, so that authors of either half of the day use the same entry point.
WACV 2027 does not accommodate virtual workshops or remote presentations. At least one author of every accepted contribution must register for the conference and present on site at Disney Springs.
Questions on submission to this track: cristian.tommasino@unina.it.
Both tracks of the combined workshop follow the same timeline.
| Date | Milestone |
|---|---|
| October 9, 2026 | Regular papers (8 pages, archival) — submission deadline (23:59 AoE) |
| October 30, 2026 | Notification to authors, regular papers |
| November 6, 2026 | Short papers (4 pages) and extended abstracts (2 pages) — submission deadline (23:59 AoE) |
| November 20, 2026 | Notification, short papers and extended abstracts |
| November 20, 2026 | Camera-ready deadline, archival papers (23:59 PT) |
| January 4–5, 2027 | Workshop day at WACV 2027 |
All deadlines are 23:59 Anywhere on Earth unless stated otherwise. The OWL challenge follows its own timeline, on the challenge page.
Reviewing is handled by the CVPath program committee, independently of the Vision4Neuro track. Submissions by challenge participants and by organizers are handled by independent chairs.
Genomics Research Centre, Human Technopole, Milan, Italy
Postdoctoral researcher on unsupervised phenotyping and deep learning for medical imaging, linking imaging to molecular data. Also Lecturer in AI for Medical Imaging at Otto von Guericke University Magdeburg. Co-organizer of REHMED 2026 at ECML-PKDD and organizer of the SMILE-UHURA challenge.
Computational Pathology Group, DIAG, Radboudumc, The Netherlands
Associate Professor and leader of the AI for Precision Medicine group, working on deep learning for whole-slide image analysis and multi-stain tissue understanding. Organizer of computational pathology workshops and grand challenges, including COMPAYL and TIGER.
Computational Pathology Group, DIAG, Radboudumc, The Netherlands
Lead organizer, OWL challenge
PhD candidate in AI for histopathology, focusing on domain shift, biomarker discovery and AI interpretability. Co-organizer of COMPAYL workshops and the LEOPARD challenge. Lead organizer and administrator of the OWL challenge.
Computational Pathology Group, DIAG, Radboudumc, The Netherlands
Postdoctoral researcher working on deep learning across imaging modalities for tissue analysis and tumour-immune interactions, with a focus on multiplex and beyond-H&E imaging.
University of Molise, Campobasso, Italy
Associate Professor of Anatomic Pathology and Medical Consultant at AOU Federico II, Naples. Practising pathologist with research interests in digital pathology and molecular diagnostics.
DIETI, University of Naples Federico II, Italy
Associate Professor working on knowledge representation and multimedia information systems. Head of the IKNOS Research Unit and of the CINI Digital Health Laboratory UNINA unit, and leader of COSMO Lab (CNR IEOS-UNINA).
DIETI, University of Naples Federico II, Italy
Primary contact, CVPath
Researcher in computer vision for computational pathology, working on deep learning safety, adversarial robustness and lightweight nuclei instance segmentation. Co-organizer of AIBio 2025 at ECAI 2025 and REHMED 2026 at ECML-PKDD 2026.
For questions about the CVPath track, write to the primary contact, Cristian Tommasino, at cristian.tommasino@unina.it. Questions about the day as a whole can go to either track contact; see the contact page.