Vitjan Zavrtanik

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 14

Top Topics

Anomalous Behavior

Gradual Transitions

Discriminatively Trained

Anomaly Detection

Top Venues

Pattern Recognit.

Publications

Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj
Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation. WACV (2024)
Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj
Keep DRÆMing: Discriminative 3D anomaly detection through anomaly simulation. Pattern Recognit. Lett. 181 (2024)
Vitjan Zavrtanik, Matija Marolt, Matej Kristan, Danijel Skocaj
Anomalous Sound Detection by Feature-Level Anomaly Simulation. ICASSP (2024)
Jer Pelhan, Alan Lukezic, Vitjan Zavrtanik, Matej Kristan
DAVE - A Detect-and-Verify Paradigm for Low-Shot Counting. CoRR (2024)
Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj
Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation. CoRR (2023)
Matic Fucka, Vitjan Zavrtanik, Danijel Skocaj
TransFusion - A Transparency-Based Diffusion Model for Anomaly Detection. CoRR (2023)
Nikola Ðukic, Alan Lukezic, Vitjan Zavrtanik, Matej Kristan
A Low-Shot Object Counting Network With Iterative Prototype Adaptation. ICCV (2023)
Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj
DSR - A Dual Subspace Re-Projection Network for Surface Anomaly Detection. ECCV (31) (2022)
Nikola Djukic, Alan Lukezic, Vitjan Zavrtanik, Matej Kristan
A Low-Shot Object Counting Network With Iterative Prototype Adaptation. CoRR (2022)
Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj
DSR - A dual subspace re-projection network for surface anomaly detection. CoRR (2022)
Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj
Reconstruction by inpainting for visual anomaly detection. Pattern Recognit. 112 (2021)
Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj
DRÆM - A discriminatively trained reconstruction embedding for surface anomaly detection. CoRR (2021)
Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj
DRÆM - A discriminatively trained reconstruction embedding for surface anomaly detection. ICCV (2021)
Vitjan Zavrtanik, Martin Vodopivec, Matej Kristan
A segmentation-based approach for polyp counting in the wild. Eng. Appl. Artif. Intell. 88 (2020)