Vitjan Zavrtanik
10 papers · 2021–2026 · 5 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (16) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🏆 Keyword Champion (2)
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Keywords
object counting
(3)
few-shot learning
(3)
zero-shot counting
(2)
logical anomaly detection
(2)
density estimation
(1)
object detection
(1)
adversarial learning
(1)
depth estimation
(1)
anomaly detection
(1)
3d vision
(1)
instance segmentation
(1)
synthetic data generation
(1)
object segmentation
(1)
bipartite matching
(1)
vision foundation model
(1)
generative model
(1)
few-shot detection
(1)
prototype matching
(1)
prototype aggregation
(1)
prototype learning
(1)
Papers
AnomalyVFM -- Transforming Vision Foundation Models into Zero-Shot Anomaly Detectors
CVPR 2026
ObjectCore - Efficient Few-shot Logical Anomaly Detection using Object Representations
WACV 2026
SALAD -- Semantics-Aware Logical Anomaly Detection
ICCV 2025
A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation
NeurIPS 2024
Cheating Depth: Enhancing 3D Surface Anomaly Detection via Depth Simulation
WACV 2024
DAVE - A Detect-and-Verify Paradigm for Low-Shot Counting
CVPR 2024
TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection
ECCV 2024
A Low-Shot Object Counting Network With Iterative Prototype Adaptation
ICCV 2023
DSR – A Dual Subspace Re-Projection Network for Surface Anomaly Detection
ECCV 2022
DRAEM - A Discriminatively Trained Reconstruction Embedding for Surface Anomaly Detection
ICCV 2021