Christopher Pramerdorfer

Facial Expression Recognition using Convolutional Neural Networks: State of the Art pdf

Martin Kampel, Christopher Pramerdorfer, M. Kampel, 2016, ArXiv.

Bad teacher or unruly student: Can deep learning say something in Image Forensics analysis?

Paolo Rota, Enver Sangineto, Christopher Pramerdorfer, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Deep Body-pose Estimation via Synthetic Depth Data: A Case Study

Martin Kampel, Christopher Pramerdorfer, 2020, VISIGRAPP.

A dataset for computer-vision-based PCB analysis

Martin Kampel, Christopher Pramerdorfer, 2015, 2015 14th IAPR International Conference on Machine Vision Applications (MVA).

EVALUATION OF KINECT SENSORS FOR FALL DETECTION

Christopher Pramerdorfer, 2013 .

PCB Recognition using Local Features for Recycling Purposes

Martin Kampel, Christopher Pramerdorfer, 2015, VISAPP.

Deep Objective Image Quality Assessment

Martin Kampel, Christopher Pramerdorfer, M. Kampel, 2017, CAIP.

Multi-View Classification and 3D Bounding Box Regression Networks

Martin Kampel, Christopher Pramerdorfer, Mark Van Loock, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Fall Detection Based on Depth-Data in Practice

Martin Kampel, Christopher Pramerdorfer, Mark Van Loock, 2016, ECCV Workshops.

Effective Deep-Learning-Based Depth Data Analysis on Low-Power Hardware for Supporting Elderly Care

Martin Kampel, Christopher Pramerdorfer, Rainer Planinc, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).