conftrace_

Paul Bergmann

3 papers · 2019–2023 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze

Venues

CVPR (2) WACV (1)

Top co-authors

David Sattlegger (3) Carsten Steger (2) Michael Fauser (2)

Research topics

Computer Vision (3) Machine Learning (3) Analysis (3) Learning Types · Machine Learning (3) Deep Learning (1) Architectures (1) Learning Types · Deep Learning (1)

Keywords

anomaly detection (3) image segmentation (2) unsupervised learning (2) feature embedding (1) generative adversarial network (1) latent embedding (1) defect detection (1) convolutional autoencoder (1) neural network (1) student-teacher framework (1) geometric descriptor (1) pixel-accurate ground truth (1) self-supervised learning (1) point cloud (1)

Papers

Anomaly Detection in 3D Point Clouds Using Deep Geometric Descriptors WACV 2023 Uninformed Students: Student-Teacher Anomaly Detection With Discriminative Latent Embeddings CVPR 2020 MVTec AD -- A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection CVPR 2019