| 2025 | CVPR | Detect, Classify, Act: Categorizing Industrial Anomalies with Multi-Modal Large Language Models. | Sassan Mokhtar, Arian Mousakhan, Silvio Galesso, Jawad Tayyub, Thomas Brox |
| 2024 | CVPR | Dynamic Addition of Noise in a Diffusion Model for Anomaly Detection. | Justin Tebbe, Jawad Tayyub |
| 2023 | AAAI | Accurate Detection of Weld Seams for Laser Welding in Real-World Manufacturing. | Rabia Ali, Muhammad Sarmad, Jawad Tayyub, Alexander Vogel |
| 2022 | AAAI | Reducing Energy Consumption of Pressure Sensor Calibration Using Polynomial HyperNetworks with Fourier Features. | Muhammad Sarmad, Mishal Fatima, Jawad Tayyub |
| 2022 | ACCV | Explaining Deep Neural Networks for Point Clouds Using Gradient-Based Visualisations. | Jawad Tayyub, Muhammad Sarmad, Nicolas Schnborn |
| 2020 | FedCSIS | An Architectural Design for Measurement Uncertainty Evaluation in Cyber-Physical Systems. | Wenzel Pilar von Pilchau, Varun Gowtham, Maximilian Gruber, Matthias Riedl, Nikolaos-Stefanos Koutrakis, Jawad Tayyub, Jrg Hhner, Sascha Eichstdt, Eckart Uhlmann, Julian Polte, Volker Frey, Alexander Willner |
| 2018 | WACV | Learning Hierarchical Models of Complex Daily Activities from Annotated Videos. | Jawad Tayyub, Majd Hawasly, David C. Hogg, Anthony G. Cohn |
| 2014 | ACCV | Qualitative and Quantitative Spatio-temporal Relations in Daily Living Activity Recognition. | Jawad Tayyub, Aryana Tavanai, Yiannis Gatsoulis, Anthony G. Cohn, David C. Hogg |