Publications by Vitjan Zavrtanik

• Keep DRÆMing: Discriminative 3D anomaly detection through anomaly simulation

  Vitjan Zavrtanik, Matej Kristan, and Danijel Skočaj

  Pattern Recognition Letters, 2024
• Reconstruction by inpainting for visual anomaly detection

  Vitjan Zavrtanik, Matej Kristan, and Danijel Skočaj

  Pattern Recognition, Elsevier, 2021
• A segmentation-based approach for polyp counting in the wild

  Vitjan Zavrtanik, Martin Vodopivec, and Matej Kristan

  Engineering Applications of Artificial Intelligence, Elsevier, 2020
• SALAD -- Semantics-Aware Logical Anomaly Detection

  Matic Fučka, Vitjan Zavrtanik, and Danijel Skočaj

  ICCV 2025, 2025
• A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation

  Jer Pelhan, Alan Lukežič, Vitjan Zavrtanik, and Matej Kristan

  The Thirty-Eighth Annual Conference on Neural Information Processing Systems, NeurIPS2024, 2024
• TransFusion – A Transparency-Based Diffusion Model for Anomaly Detection

  Matic Fučka, Vitjan Zavrtanik, and Danijel Skočaj

  ECCV 2024, 2024
• A Detect-and-Verify Paradigm for Low-Shot Counting - DAVE

  Jer Pelhan, Alan Lukežič, Vitjan Zavrtanik, and Matej Kristan

  IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024
• Anomalous Sound Detection by Feature-Level Anomaly Simulation

  Vitjan Zavrtanik, Matija Marolt, Matej Kristan, and Danijel Skočaj

  ICASSP 2024, 2024
• Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation

  Vitjan Zavrtanik, Matej Kristan, and Danijel Skočaj

  WACV 2024, 2024
• A Low-Shot Object Counting Network With Iterative Prototype Adaptation

  Nikola Djukic, Alan Lukežič, Vitjan Zavrtanik, and Matej Kristan

  ICCV2023, 2023
• DSR – A Dual Subspace Re-Projection Network for Surface Anomaly Detection

  Vitjan Zavrtanik, Matej Kristan, and Danijel Skočaj

  ECCV 2022, 2022
• Analiza robustnosti globokih nenadzorovanih metod za detekcijo vizualnih anomalij

  Jakob Božič, Vitjan Zavrtanik, and Danijel Skočaj

  ERK, 2021
• DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection

  Vitjan Zavrtanik, Matej Kristan, and Danijel Skočaj

  ICCV 2021, 2021