Embedded synthetic instruments for Board-Level testing. - Artur Jutman; Sergei Devadze; Igor Aleksejev; Thomas Wenzel (ETS, 2012)

FPGA-based synthetic instrumentation for board test. - Igor Aleksejev; Artur Jutman; Sergei Devadze; Sergei Odintsov; Thomas Wenzel (ITC, 2012)

Additional Traffic Sign Detection - A Comparative Study. - Thomas Wenzel; Steffen Brüggert; Joachim Denzler (ITSC, 2015)

Additional traffic sign detection using learned corner representations. - Thomas Wenzel; Steffen Brüggert; Joachim Denzler (Intelligent Vehicles Symposium, 2016)

Towards unconstrained content recognition of additional traffic signs. - Thomas Wenzel; Steffen Brüggert; Joachim Denzler (Intelligent Vehicles Symposium, 2017)

From corners to rectangles - Directional road sign detection using learned corner representations. - Thomas Wenzel; Ta-Wei Chou; Steffen Brüggert; Joachim Denzler (Intelligent Vehicles Symposium, 2017)

Additional Traffic Sign Detection and Content Recognition. - Thomas Wenzel (Dr. Hut, 2019)

Bosch Deep Learning Hardware Benchmark. - Armin Runge; Thomas Wenzel; Dimitrios Bariamis; Benedikt Sebastian Staffler; Lucas Rêgo Drumond; Michael Pfeiffer 001 (CoRR, 2020)

Improving GAN-based Domain Adaptation for Object Detection. - Maximilian Menke; Thomas Wenzel; Andreas Schwung (ITSC, 2022)

AWADA: Attention-Weighted Adversarial Domain Adaptation for Object Detection. - Maximilian Menke; Thomas Wenzel; Andreas Schwung (CoRR, 2022)

Improving Cross-Domain Semi-Supervised Object Detection with Adversarial Domain Adaptation. - Maximilian Menke; Thomas Wenzel; Andreas Schwung (IV, 2023)

AWADA: Foreground-focused adversarial learning for cross-domain object detection. - Maximilian Menke; Thomas Wenzel; Andreas Schwung (Comput. Vis. Image Underst., 2024)

Bridging the gap: Active learning for efficient domain adaptation in object detection. - Maximilian Menke; Thomas Wenzel; Andreas Schwung (Expert Syst. Appl., 2024)