29 citations · 30 across the 6 of their papers we have counts for
7 papers
Detect, Classify, Act: Categorizing Industrial Anomalies with Multi-Modal Large Language Models
Sassan Mokhtar, Arian Mousakhan, Silvio Galesso +2
Recent advances in visual industrial anomaly detection have demonstrated exceptional performance in identifying and segmenting anomalous regions while maintaining fast inference sp…
Dynamic Addition of Noise in a Diffusion Model for Anomaly Detection
Justin Tebbe, Jawad Tayyub
Diffusion models have found valuable applications in anomaly detection by capturing the nominal data distribution and identifying anomalies via reconstruction. Despite their merits…
Anomaly Detection with Conditioned Denoising Diffusion Models
Arian Mousakhan, Thomas Brox, Jawad Tayyub
Traditional reconstruction-based methods have struggled to achieve competitive performance in anomaly detection. In this paper, we introduce Denoising Diffusion Anomaly Detection (…
FullFormer: Generating Shapes Inside Shapes
Tejaswini Medi, Jawad Tayyub, Muhammad Sarmad +2
Implicit generative models have been widely employed to model 3D data and have recently proven to be successful in encoding and generating high-quality 3D shapes. This work builds…
Explaining Deep Neural Networks for Point Clouds using Gradient-based Visualisations
Jawad Tayyub, Muhammad Sarmad, Nicolas Schönborn
Explaining decisions made by deep neural networks is a rapidly advancing research topic. In recent years, several approaches have attempted to provide visual explanations of decisi…
An Architectural Design for Measurement Uncertainty Evaluation in Cyber-Physical Systems
Wenzel Pilar von Pilchau, Varun Gowtham, Maximilian Gruber +9
Several use cases from the areas of manufacturing and process industry, require highly accurate sensor data. As sensors always have some degree of uncertainty, methods are needed t…
CLAD: A Complex and Long Activities Dataset with Rich Crowdsourced Annotations
Jawad Tayyub, Majd Hawasly, David C. Hogg +1
This paper introduces a novel activity dataset which exhibits real-life and diverse scenarios of complex, temporally-extended human activities and actions. The dataset presents a s…