First edition. A half-day track of the combined WACV 2027 workshop Vision for Biomedical Discovery, running in the afternoon. Vision4Neuro keeps its own call for papers, program committee and reviewing process.
Vision4Neuro is about computer vision for neural decoding, behaviour and clinical neuroscience. Reconstructing what someone saw from EEG, MEG, fMRI, fNIRS or ECoG; aligning the representations of vision-language models with cortical responses; reading behaviour from video through eye tracking and markerless pose estimation; and turning any of this into interfaces and clinical measures that work outside a controlled lab.
The recurring obstacle is the same one WACV cares about: models that work on the subjects, sessions and devices they were fitted on, and degrade elsewhere. Cross-subject and cross-session transfer, domain shift, calibration and open-set recognition are therefore first-class topics of the track, not afterthoughts.
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 Workshop Proceedings | Poster, possibly lightning talk |
| Extended abstract | 2 pages (excluding references) | Non-archival — not published in the Workshop 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.
Archival regular papers and non-archival contributions are handled by two separate submission sites, each with its own deadline. Both tracks share the same sites, so select the Vision4Neuro track on the submission form.
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: mpetrov@uccs.edu.
Both tracks of the combined workshop follow the same timeline.
| Date | Milestone |
|---|---|
| October 16, 2026 | Regular papers (8 pages, archival) — submission deadline, extended (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 Vision4Neuro program committee, independently of the CVPath track.
University of Colorado Colorado Springs, USA
Primary contact, Vision4Neuro
PhD candidate in the NeuroCognition Laboratory, working on EEG-to-video reconstruction, open-set recognition for EEG brain-computer interfaces, and multimodal vision-language models for gaze-based clinical classification. Co-founder and Lead Research Engineer at NeuroSentient Technologies, developing gaze-driven assistive communication systems.
University of Colorado Colorado Springs, USA
Associate Professor of Computer Science and Director of the NeuroCognition Laboratory, with a PhD in cognitive and computational neuroscience from Flinders University. Previously a member of the Data Acquisition and Analytics Core of the Autism Biomarkers Consortium for Clinical Trials at the Yale Child Study Center, and later at the University of Washington and Seattle Children's Research Institute. His research spans brain-computer interfaces, EEG and fNIRS analysis, eye tracking, and machine learning for neural signals.
University of Colorado Colorado Springs, USA
El Pomar Endowed Professor of Innovation and Security, leading the Vision and Security Technology (VAST) Lab. His work established open set recognition and novelty detection as core problems in computer vision. Co-founder and Treasurer of the Computer Vision Foundation, past chair of the IEEE Technical Committee on Pattern Analysis and Machine Intelligence, and repeatedly a general or program chair of WACV.
Seattle Children's Research Institute and University of Washington, USA
Professor of Pediatrics at the University of Washington, Adjunct Professor of Computer Science and Engineering and of Psychology, and Principal Investigator at Seattle Children's Research Institute, where he directs the Seattle Children's Innovative Technologies Laboratory. Trained in computer science at Yale, he studies mechanisms and markers of autism and other neurodevelopmental conditions using eye tracking, functional near-infrared spectroscopy, and technology-enhanced behavioural paradigms.
Further members are being confirmed and will be listed as they are added.
For questions about the Vision4Neuro track, write to the primary contact, Marios Petrov, at mpetrov@uccs.edu. Questions about the day as a whole can go to either track contact; see the contact page.