Jawad Tayyub

19 papers A* 2A 1Journal 8Unranked 7
YearRankTypeTitle / Venue / Authors
2025 — conf
Detect, Classify, Act: Categorizing Industrial Anomalies with Multi-Modal Large Language Models.
CVPR Workshops
Sassan Mokhtar, Arian Mousakhan, Silvio Galesso, Jawad Tayyub, Thomas Brox
2025 J jnl
Detect, Classify, Act: Categorizing Industrial Anomalies with Multi-Modal Large Language Models.
CoRR
Sassan Mokhtar, Arian Mousakhan, Silvio Galesso, Jawad Tayyub, Thomas Brox
2024 — conf
Anomaly Detection with Conditioned Denoising Diffusion Models.
GCPR (1)
Arian Mousakhan, Thomas Brox, Jawad Tayyub
2024 J jnl
D3AD: Dynamic Denoising Diffusion Probabilistic Model for Anomaly Detection.
CoRR
Justin Tebbe, Jawad Tayyub
2024 — conf
Dynamic Addition of Noise in a Diffusion Model for Anomaly Detection.
CVPR Workshops
Justin Tebbe, Jawad Tayyub
2023 A* conf
Accurate Detection of Weld Seams for Laser Welding in Real-World Manufacturing.
AAAI
Rabia Ali, Muhammad Sarmad, Jawad Tayyub, Alexander Vogel
2023 J jnl
Accurate detection of weld seams for laser welding in real-world manufacturing.
AI Mag.
Rabia Ali, Muhammad Sarmad, Jawad Tayyub, Alexander Vogel
2023 J jnl
Anomaly Detection with Conditioned Denoising Diffusion Models.
CoRR
Arian Mousakhan, Thomas Brox, Jawad Tayyub
2023 — conf
FullFormer: Generating Shapes Inside Shapes.
DAGM
Tejaswini Medi, Jawad Tayyub, Muhammad Sarmad, Frank Lindseth, Margret Keuper
2023 J jnl
FullFormer: Generating Shapes Inside Shapes.
CoRR
Tejaswini Medi, Jawad Tayyub, Muhammad Sarmad, Frank Lindseth, Margret Keuper
2022 — conf
Explaining Deep Neural Networks for Point Clouds Using Gradient-Based Visualisations.
ACCV (2)
Jawad Tayyub, Muhammad Sarmad, Nicolas Schönborn
2022 J jnl
Explaining Deep Neural Networks for Point Clouds using Gradient-based Visualisations.
CoRR
Jawad Tayyub, Muhammad Sarmad, Nicolas Schönborn
2022 A* conf
Reducing Energy Consumption of Pressure Sensor Calibration Using Polynomial HyperNetworks with Fourier Features.
AAAI
Muhammad Sarmad, Mishal Fatima, Jawad Tayyub
2020 — conf
An Architectural Design for Measurement Uncertainty Evaluation in Cyber-Physical Systems.
FedCSIS (Position Papers)
Wenzel Pilar von Pilchau, Varun Gowtham, Maximilian Gruber, Matthias Riedl, Nikolaos-Stefanos Koutrakis, Jawad Tayyub, Jörg Hähner, Sascha Eichstädt, Eckart Uhlmann, Julian Polte, Volker Frey, Alexander Willner
2020 J jnl
An Architectural Design for Measurement Uncertainty Evaluation in Cyber-Physical Systems.
CoRR
Wenzel Pilar von Pilchau, Varun Gowtham, Maximilian Gruber, Matthias Riedl, Nikolaos-Stefanos Koutrakis, Jawad Tayyub, Jörg Hähner, Sascha Eichstädt, Eckart Uhlmann, Julian Polte, Volker Frey, Alexander Willner
2018 — —
Hierarchical modelling and recognition of activities of daily living.
Jawad Tayyub
2018 A conf
Learning Hierarchical Models of Complex Daily Activities from Annotated Videos.
WACV
Jawad Tayyub, Majd Hawasly, David C. Hogg, Anthony G. Cohn
2017 J jnl
CLAD: A Complex and Long Activities Dataset with Rich Crowdsourced Annotations.
CoRR
Jawad Tayyub, Majd Hawasly, David C. Hogg, Anthony G. Cohn
2014 — conf
Qualitative and Quantitative Spatio-temporal Relations in Daily Living Activity Recognition.
ACCV (5)
Jawad Tayyub, Aryana Tavanai, Yiannis Gatsoulis, Anthony G. Cohn, David C. Hogg