A dataset for computer-vision-based PCB analysis. - Christopher Pramerdorfer; Martin Kampel (MVA, 2015)

PCB Recognition using Local Features for Recycling Purposes. - Christopher Pramerdorfer; Martin Kampel (VISAPP (3), 2015)

Fall Detection Based on Depth-Data in Practice. - Christopher Pramerdorfer; Rainer Planinc; Mark Van Loock; David Fankhauser; Martin Kampel; Michael Brandstötter (ECCV Workshops (2), 2016)

Bad teacher or unruly student: Can deep learning say something in Image Forensics analysis? - Paolo Rota; Enver Sangineto; Valentina Conotter; Christopher Pramerdorfer (ICPR, 2016)

Facial Expression Recognition using Convolutional Neural Networks: State of the Art. - Christopher Pramerdorfer; Martin Kampel (CoRR, 2016)

Deep Objective Image Quality Assessment. - Christopher Pramerdorfer; Martin Kampel (CAIP (2), 2017)

Multi-View Classification and 3D Bounding Box Regression Networks. - Christopher Pramerdorfer; Martin Kampel; Mark Van Loock (ICPR, 2018)

Behavior detection as a privacy-enhancing security technology in prison cells. - Christopher Pramerdorfer; Martin Kampel; Reinhard Kreissl (ICDP, 2019)

Effective Deep-Learning-Based Depth Data Analysis on Low-Power Hardware for Supporting Elderly Care. - Christopher Pramerdorfer; Rainer Planinc; Martin Kampel (CVPR Workshops, 2020)

Sdt: A Synthetic Multi-Modal Dataset For Person Detection And Pose Classification. - Christopher Pramerdorfer; Julian Strohmayer; Martin Kampel (ICIP, 2020)

Deep Body-pose Estimation via Synthetic Depth Data: A Case Study. - Christopher Pramerdorfer; Martin Kampel (VISIGRAPP (5: VISAPP), 2020)