CVNH 2026

Deadlines
Computer Vision/CORE Unranked

CVNH 2026

Computer Vision for Natural Heritage

1788818400000Malmö, SwedenOfficial conference site Site reachable

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.

Official CFP Back to deadlines Verified September 9, 2026

Paper fit

Contribution paths

A strong submission should clearly identify its contribution and evaluate it appropriately.

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Unpublished work submitted for double-blind review; accepted papers are published in ECCV workshop proceedings and presented as a poster and a two-minute pitch;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.

Non-Archival Abstracts

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.

Research areas in scope

01

Covered Topics

Digitization and mobilisation of specimen data from labels and archive cards2D and 3D specimen imagingRobotic vision for automated imagingSpecies recognition and AI‑assisted species descriptionPhenology estimation from collection specimensBenchmarks, datasets, and evaluation protocolsVision-based quality control and error detectionMorphological trait extraction using CVComputational challenges for species recognition (CT-scans of micro‑fossils and handwritten insect labels)

Policies worth checking twice

  • Papers undergo double-blind review.
  • Papers are limited to 14 pages, including figures and tables, in LNCS style; additional pages for references are allowed.
  • Submissions must be made via OpenReview with a valid and updated account.
  • Non-archival abstracts are not anonymized and are limited to one page using the ECCV template.
  • Top-performing challenge participants (Foram2026 and MuseumSCAT2026) are invited to submit a paper.

Official sources

Compiled from the official call for papers. The organizers’ pages remain authoritative.

Last verified September 9, 2026