3 citations · 5 across the 4 of their papers we have counts for
4 papers
Multi-Channel Time-Series Person and Soft-Biometric Identification
Nilah Ravi Nair, Fernando Moya Rueda, Christopher Reining +1
Multi-channel time-series datasets are popular in the context of human activity recognition (HAR). On-body device (OBD) recordings of human movements are often preferred for HAR ap…
Dataset Bias in Human Activity Recognition
Nilah Ravi Nair, Lena Schmid, Fernando Moya Rueda +3
When creating multi-channel time-series datasets for Human Activity Recognition (HAR), researchers are faced with the issue of subject selection criteria. It is unknown what physic…
Self-Training of Handwritten Word Recognition for Synthetic-to-Real Adaptation
Fabian Wolf, Gernot A. Fink
Performances of Handwritten Text Recognition (HTR) models are largely determined by the availability of labeled and representative training samples. However, in many application sc…
Optimistic and Pessimistic Neural Networks for Scene and Object Recognition
Rene Grzeszick, Sebastian Sudholt, Gernot A. Fink
In this paper the application of uncertainty modeling to convolutional neural networks is evaluated. A novel method for adjusting the network's predictions based on uncertainty inf…