Schedule
4 June 2026, 1:30 pm-6pm
Embedded Files
13:30 - 13:35: Opening Remarks
13:35 - 14:05: Keynote - Walter Scheirer (University of Notre Dame) - Open Issues in Open World Learning
14:05 - 14:35: Keynote - Bodo Rosenhahn (Leibniz University Hannover) - Anomaly Detection using Normalizing Flows
14:35 - 15:15: Paper Spotlight Talks
15:15 - 15:30: Coffee Break
15:30 - 16:00: Keynote - Sebastian Höfer (Amazon) - Visual Defect Detection in Retail Logistics: The Kaputt Dataset and VAND 4.0 Retail Challenge
16:00 - 16:30: Keynote - David Zimmerer (DKFZ) - Measure What Matters: A Journey to Finding the Best Radiological Anomaly Localisation Model
16:30 - 17:10: Challenge & Award Ceremony
17:10 - 18:00: Poster Session & Networking
Paper Spotlights:
[ID-2] Not All NVFP4 Recipes Are Equal: How Architecture and Scale Shape Quantization for Anomaly Segmentation [Z. Du, O.Rybakov]
[ID-4] PALADIN: Prompt-Aligned Localization and Anomaly Detection with DINOv3 [A.B. Basaran]
[ID-6] From Surveillance to Mobile Robots: Regime-Aware Video Anomaly Detection [T. Sasaki, Y. Ito, K. Yawata, K. Dohi, Y. Ohtsubo, K. Takeshita]
[ID-7] Novel Anomaly Detection Scenarios and Evaluation Metrics to Address the Ambiguity in the Definition of Normal Samples [R. Saito, S. Kamiya, K. Hotta]
[ID-9] MIRAGE: Model-agnostic Industrial Realistic Anomaly Generation and Evaluation for Visual Anomaly Detection [J. Hu, F. Borsatti, A. Stropeni, D.D. Pezze, M. Barusco, G.A. Susto]
[ID-12] STREAM-OOD: Regime-Aware Sequential Monitoring for Streaming Out-of-Distribution Detection [B. Khalili, A. Bardey, A. Smyth]
[ID-14] Are Anomaly Scores Telling the Whole Story? A Benchmark for Multilevel Anomaly Detection [T. Cao, M. Trinh, A. Deng, N.Q. Nguyen, K. Duong, N. Cheung, B. Hooi]
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