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CVPath+Vision4Neuro@WACV 2027 : Vision for Biomedical Discovery (CVPath + Vision4Neuro) @ WACV2027 | |||||||||||||||
| Link: https://cvpath-vision4neuro.github.io/wacv2027/ | |||||||||||||||
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Call For Papers | |||||||||||||||
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Vision for Biomedical Discovery (CVPath + Vision4Neuro)
Full-day workshop at IEEE/CVF WACV 2027 Orlando, Florida, USA, 4-5 January 2027 https://cvpath-vision4neuro.github.io/wacv2027/ OVERVIEW Tissue slides and neural recordings could hardly be more different as data, yet they raise the same methodological questions: foundation and multimodal models, generalization under real distribution shift, and what counts as evidence that a model is ready for clinical use. This full-day workshop brings the two communities into one room, under a shared umbrella, with two self-contained tracks, a joint panel and a combined poster session. Each track keeps its own call for papers, program committee and reviewing process. Authors select the track when submitting. TRACK 1 - CVPath: Computer Vision for Computational and Digital Pathology Topics include, but are not limited to: - Foundation and self-supervised models for pathology - Whole-slide image analysis and gigapixel understanding - Cell- and nuclei-level vision; dense prediction at cellular scale - Imaging beyond H&E: IHC, multiplex/mIF, multi-stain - Robustness, domain shift and weak supervision in computational pathology - Multimodal, generative and vision-language models in computational pathology - AI interpretability and trustworthy AI in computational pathology - Reproducibility, benchmarks, deployment and clinical translation The track hosts the OWL challenge (Observing What Models Learn) on interpretable AI for hypothesis-free discovery in prostate cancer histopathology, run on the Grand Challenge platform: https://owl.grand-challenge.org/ TRACK 2 - Vision4Neuro: Neural Decoding and Computer Vision for Behavioral and Clinical Neuroscience Topics include, but are not limited to: - Decoding and reconstruction of visual experience from neural signals (EEG, MEG, fMRI, fNIRS, ECoG) - Brain-to-image and brain-to-video generation - Encoding models and representational alignment between vision-language models and cortex - Multimodal neuroimaging and fusion - Brain-computer interfaces, gaze-driven interfaces and assistive communication - Vision-based behavioural phenotyping: eye tracking and markerless pose analysis - Clinical and translational applications in neurodevelopmental and neurodegenerative conditions - Robustness in the wild: cross-subject and cross-session transfer, domain shift, calibration, open-set recognition SUBMISSIONS Three submission types, all in the WACV 2027 format, page limits excluding references: - Regular papers, 8 pages. Archival, published in the WACV 2027 Workshop Proceedings on IEEE Xplore and in the CVF Open Access repository. - Short papers, 4 pages. Non-archival, presented as posters or lightning talks. - Extended abstracts, 2 pages. Non-archival, presented as posters or lightning talks. Reviewing is double-blind. Submissions are handled through OpenReview. WACV 2027 does not accommodate remote presentations: at least one author of each accepted contribution must register and present on site. IMPORTANT DATES Regular papers (archival) 9 October 2026, 23:59 AoE Notification, regular papers 30 October 2026 Short papers and extended abstracts 6 November 2026, 23:59 AoE Camera-ready, archival papers 20 November 2026 Workshop 4-5 January 2027 ORGANIZERS CVPath: Soumick Chatterjee (Human Technopole, Milan), Francesco Ciompi, Khrystyna Faryna, Evgenia Martynova (Radboudumc), Francesco Merolla (University of Molise), Antonio Maria Rinaldi, Cristian Tommasino (University of Naples Federico II). Vision4Neuro: Marios Petrov, Adham Atyabi, Terrance E. Boult (University of Colorado Colorado Springs), Frederick Shic (Seattle Children's Research Institute and University of Washington). CONTACT CVPath: cristian.tommasino@unina.it Vision4Neuro: mpetrov@uccs.edu |
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