| Draem-a discriminatively trained reconstruction embedding for surface anomaly detection V Zavrtanik, M Kristan, D Skočaj Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 453 | 2021 |
| Reconstruction by inpainting for visual anomaly detection V Zavrtanik, M Kristan, D Skočaj Pattern Recognition 112, 107706, 2021 | 395 | 2021 |
| Dsr–a dual subspace re-projection network for surface anomaly detection V Zavrtanik, M Kristan, D Skočaj European conference on computer vision, 539-554, 2022 | 56 | 2022 |
| A low-shot object counting network with iterative prototype adaptation N Đukić, A Lukežič, V Zavrtanik, M Kristan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 19 | 2023 |
| A segmentation-based approach for polyp counting in the wild V Zavrtanik, M Vodopivec, M Kristan Engineering Applications of Artificial Intelligence 88, 103399, 2020 | 9 | 2020 |
| Cheating depth: Enhancing 3d surface anomaly detection via depth simulation V Zavrtanik, M Kristan, D Skočaj Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 4 | 2024 |
| TransFusion--A Transparency-Based Diffusion Model for Anomaly Detection M Fučka, V Zavrtanik, D Skočaj arXiv preprint arXiv:2311.09999, 2023 | 3 | 2023 |
| Keep DRÆMing: Discriminative 3D anomaly detection through anomaly simulation V Zavrtanik, M Kristan, D Skočaj Pattern Recognition Letters 181, 113-119, 2024 | 1 | 2024 |
| DAVE-A Detect-and-Verify Paradigm for Low-Shot Counting J Pelhan, V Zavrtanik, M Kristan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| Dsr—A dual subspace re-projection network for surface anomaly detection supplementary material V Zavrtanik, M Kristan, D Skocaj | 1 | 2022 |
| Anomalous Sound Detection by Feature-Level Anomaly Simulation V Zavrtanik, M Marolt, M Kristan, D Skočaj ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| Segmentacijska konvolucijska nevronska mreža za štetje polipov na slikah V Zavrtanik Univerza v Ljubljani, 2018 | | 2018 |
| Community detection in Slovene public spending V Zavrtanik, L Šubelj Uporabna informatika 26 (3), 2018 | | 2018 |
| Učinkovito generiranje hipotetičnih slikovnih regij za detekcijo polipov V Zavrtanik Univerza v Ljubljani, 2016 | | 2016 |
| Exploring different noise distributions in diffusion models for Surface Anomaly Detection M Fucka, V Zavrtanik, D Skocaj | | |
| Diskriminativna metoda za detekcijo 3D anomalij V Zavrtanik, M Kristan, D Skocaj | | |
| Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation-Supplementary material V Zavrtanik, M Kristan, D Skocaj | | |
| Analiza robustnosti globokih nenadzorovanih metod za detekcijo vizualnih anomalij J Bozic, V Zavrtanik, D Skocaj | | |
Matej KristanFull Professor at Faculty of computer and information science, University of Ljubljana在 fri.uni-lj.si 的电子邮件经过验证
