Program


8:30		Opening
8:40		Keynote: "Navigating the complexity of butterfly wing patterns with computer vision" — Moritz Lürig [Slides]
9:00		Keynote: "AI for Nature: Exploring our Natural Heritage " — Elizabeth G. Campolongo [Slides]
9:20		Oral: "A Pipeline for Chamber-Resolved Analysis of Pore Traits in Foraminiferal µCT Volumes" — Hanqing Wu [Slides]
9:35		Oral: "Self-Supervised Vision Embeddings Reveal Phenotype–Taxonomy Structure in Digitized Butterfly Collections" — Arun Tipingiri [Slides]
9:50		Coffee break
10:20		Keynote: "Multimodal AI for Ecological Monitoring: Images, DNA, and Geolocation" — Joakim Bruslund Haurum [Slides]
10:40		Keynote: "Using micro-CT to explore the visual ecology of insects" — Emily Baird [Slides]
11:00		Lightning talks "Segmentation of Individual Foraminifera in X-ray Microtomography Volumes" — Alexandros Sopasakis [Slides] "Exploring Vision Foundation Models for Analysis of Anatomical Micro-CT Volumes through Sample Reorientation" — Samuel Kjær Mackie [Slides] "Learning Similarity-Invariant Shape Manifolds for Wing Damage Estimation" — Yoav Kamir [Slides]
11:15		Forams2026 [Slides] and MuseumSCAT [Slides] Challenge Results
11:30		Poster session
12:25		Closing remarks

Keynote presentation

Oral presentation

Accepted Papers (proceedings)

[Paper, Poster] Segmentation of Individual Foraminifera in X-ray Microtomography Volumes — Alexandros Sopasakis, Najmeh Abiri, Constance Choquel, Jonas Donnenfield, Behnaz Pirzamanbin, Helena L. Filipsson

[Paper, Poster] Taxonomy-Free Visual Clustering for Digitized Butterfly Collections. Self-Supervised Vision Embeddings Reveal Phenotype–Taxonomy Structure in Digitized Butterfly Collections — Arun Tipingiri, Moritz Lürig, Arthur Porto

[Paper, Poster] Exploring Vision Foundation Models for Analysis of Anatomical Micro-CT Volumes through Sample Reorientation — Samuel Kjær Mackie, Mads-Frederik Frost Petersen, William Michael Laprade, Hans Martin Kjer

[Paper, Poster] A Pipeline for Chamber-Resolved Analysis of Pore Traits in Foraminiferal µCT Volumes — Hanqing Wu, Constance Choquel, Sha Ni, Helena L. Filipsson, Behnaz Pirzamanbin

[Paper, Poster] Wing Damage Estimation using SliceLearn, a deep learnt shape model — Yoav Kamir, Roberta Hunt, Charlie Nicholson, Francois Lauze

Abstracts

[Poster] When to Abstain: Evidence-Preserving OCR for Natural-History Specimen Labels — Beichen Xie

[Poster] Can 3D image analysis reveal environmental signals preserved in mussel shells? — Jessica Dessau, Josefine Larsson, Stephen Hall, Helena L. Filipsson

[Poster] Agreement-Aware Selective Prediction for Museum Label Transcription — Md Raihan, Mathias Zinnen, and Vincent Christlein

[Poster] Generalizing Herbarium Specimen Label Understanding Under Limited Data Diversity — Weiwei Liu, Stefano Martellos

[Poster] Towards Evidence-Linked 3D Part Grounding for Digitized Natural History Specimens — Yiming Du, Riccardo Marin, and David Rügamer

[Poster] Fine-Tuning HunyuanOCR for Museum Specimen Label Transcription — Yukiko Hughes, Sara Avila, Jessica Akpan, Erika Germinario, Carol Fassbinder-Orth, Praveenkumar Kondikoppa, Steven Fernandes

[Poster] Forams 2026 Kaggle Challenge

[Poster] MuseumSCAT Kaggle Challenge