9 citations · 12 across the 6 of their papers we have counts for
11 papers
Recognition-free Question Answering on Handwritten Document Collections
Oliver Tüselmann, Friedrich Müller, Fabian Wolf +1
In recent years, considerable progress has been made in the research area of Question Answering (QA) on document images. Current QA approaches from the Document Image Analysis comm…
Human Activity Recognition using Attribute-Based Neural Networks and Context Information
Stefan Lüdtke, Fernando Moya Rueda, Waqas Ahmed +2
We consider human activity recognition (HAR) from wearable sensor data in manual-work processes, like warehouse order-picking. Such structured domains can often be partitioned into…
Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation
Philipp Oberdiek, Matthias Rottmann, Gernot A. Fink
When deploying deep learning technology in self-driving cars, deep neural networks are constantly exposed to domain shifts. These include, e.g., changes in weather conditions, time…
Annotation-free Learning of Deep Representations for Word Spotting using Synthetic Data and Self Labeling
Fabian Wolf, Gernot A. Fink
Word spotting is a popular tool for supporting the first exploration of historic, handwritten document collections. Today, the best performing methods rely on machine learning tech…
Exploring Confidence Measures for Word Spotting in Heterogeneous Datasets
Fabian Wolf, Philipp Oberdiek, Gernot A. Fink
In recent years, convolutional neural networks (CNNs) took over the field of document analysis and they became the predominant model for word spotting. Especially attribute CNNs, w…
Learning Attribute Representation for Human Activity Recognition
Fernando Moya Rueda, Gernot A. Fink
Attribute representations became relevant in image recognition and word spotting, providing support under the presence of unbalance and disjoint datasets. However, for human activi…