Full Papers
Unpublished work submitted for double-blind review; accepted papers are published in ECCV workshop proceedings and presented as a poster and a two-minute pitch; outstanding works may also be presented orally.
Computer Vision for Natural Heritage
CVNH 2026 is an ECCV workshop focused on advancing computer vision methods for analyzing 2D, 3D, and multi-modal imaging of natural history collections. It brings together researchers and domain experts to address challenges in automated analysis of digitized specimens, including species recognition, morphological trait extraction, and OCR of handwritten labels, with an emphasis on biodiversity and ecological research.
Paper fit
A strong submission should clearly identify its contribution and evaluate it appropriately.
Unpublished work submitted for double-blind review; accepted papers are published in ECCV workshop proceedings and presented as a poster and a two-minute pitch; outstanding works may also be presented orally.
Extended abstracts of work in progress or recently published papers; not part of the proceedings; accepted abstracts are presented as posters and are not anonymized.
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026