activity
20182025
most citedUninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings

916 citations · 1.6k across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2025

MVTOP: Multi-View Transformer-based Object Pose-Estimation

Lukas Ranftl, Felix Brendel, Bertram Drost +1

We present MVTOP, a novel transformer-based method for multi-view rigid object pose estimation. Through an early fusion of the view-specific features, our method can resolve pose a…

cs.CV2025★ 22 cited

The MVTec AD 2 Dataset: Advanced Scenarios for Unsupervised Anomaly Detection

Lars Heckler-Kram, Jan-Hendrik Neudeck, Ulla Scheler +2

In recent years, performance on existing anomaly detection benchmarks like MVTec AD and VisA has started to saturate in terms of segmentation AU-PRO, with state-of-the-art models o…

cs.CV2021★ 183 cited

The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization

Paul Bergmann, Xin Jin, David Sattlegger +1

We introduce the first comprehensive 3D dataset for the task of unsupervised anomaly detection and localization. It is inspired by real-world visual inspection scenarios in which a…

cs.CV2019★ 916 cited

Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings

Paul Bergmann, Michael Fauser, David Sattlegger +1

We introduce a powerful student-teacher framework for the challenging problem of unsupervised anomaly detection and pixel-precise anomaly segmentation in high-resolution images. St…

cs.CV2018★ 1 cited

A Summary of the 4th International Workshop on Recovering 6D Object Pose

Tomas Hodan, Rigas Kouskouridas, Tae-Kyun Kim +12

This document summarizes the 4th International Workshop on Recovering 6D Object Pose which was organized in conjunction with ECCV 2018 in Munich. The workshop featured four invited…

cs.CV2018★ 7 cited

Subpixel-Precise Tracking of Rigid Objects in Real-time

Tobias Böttger, Markus Ulrich, Carsten Steger

We present a novel object tracking scheme that can track rigid objects in real time. The approach uses subpixel-precise image edges to track objects with high accuracy. It can dete…