Christopher Pramerdorfer

According to our database, Christopher Pramerdorfer authored at least 11 papers between 2015 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

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

Christopher Pramerdorfer, Martin Kampel

Proceedings of the 15th International Joint Conference on Computer Vision, 2020

Sdt: A Synthetic Multi-Modal Dataset For Person Detection And Pose Classification.

Christopher Pramerdorfer, Julian Strohmayer, Martin Kampel

Proceedings of the IEEE International Conference on Image Processing, 2020

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

Christopher Pramerdorfer, Rainer Planinc, Martin Kampel

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Behavior detection as a privacy-enhancing security technology in prison cells.

Christopher Pramerdorfer, Martin Kampel, Reinhard Kreissl

Proceedings of the 9th International Conference on Imaging for Crime Detection and Prevention, 2019

2018

Multi-View Classification and 3D Bounding Box Regression Networks.

Christopher Pramerdorfer, Martin Kampel, Mark Van Loock

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Deep Objective Image Quality Assessment.

Christopher Pramerdorfer, Martin Kampel

Proceedings of the Computer Analysis of Images and Patterns, 2017

2016

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

Christopher Pramerdorfer, Martin Kampel

CoRR, 2016

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

Paolo Rota, Enver Sangineto, Valentina Conotter, Christopher Pramerdorfer

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Fall Detection Based on Depth-Data in Practice.

Christopher Pramerdorfer, Rainer Planinc, Mark Van Loock, David Fankhauser, Martin Kampel, Michael Brandstötter

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2015

PCB Recognition using Local Features for Recycling Purposes.

Christopher Pramerdorfer, Martin Kampel

Proceedings of the VISAPP 2015, 2015

A dataset for computer-vision-based PCB analysis.

Christopher Pramerdorfer, Martin Kampel

Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015