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Fully Convolutional Region Proposal Networks for Multispectral Person Detection
TLDR
We present a novel multispectral Region Proposal Network (RPN) that is built up on the pre-trained very deep convolutional network VGG-16 and improve the current state-of-the-art on this dataset by about 18%. Expand
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Multiple Classifier Systems for the Classification of Audio-Visual Emotional States
TLDR
We investigate multiple classifier systems for the classification of audio and visual features to classify human emotional states. Expand
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A comprehensive head pose and gaze database
TLDR
We have presented a comprehensive database of faces covering large variations of head pose and eye gaze and evaluate two algorithms for gaze estimation. Expand
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A generic framework for the inference of user states in human computer interaction
TLDR
The analysis of affective states in human-human and human-computer interaction (HCI) using automatic machine analysis and learning approaches often suffers from the simplicity of the approaches or that very ambitious steps are often tried to be taken at once. Expand
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The SenseEmotion Database: A Multimodal Database for the Development and Systematic Validation of an Automatic Pain- and Emotion-Recognition System
TLDR
In our modern industrial society the group of the older (generation 65+) is constantly growing. Expand
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Multi-modal Pain Intensity Recognition based on the SenseEmotion Database
TLDR
The subjective nature of pain makes it a very challenging phenomenon to assess. Expand
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Detection of Head Pose and Gaze Direction for Human-Computer Interaction
TLDR
We extend existing methods for head pose estimation and investigate the use of local image phase for gaze detection in a framework for human-computer interaction. Expand
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Learning Representations of Animated Motion Sequences - A Neural Model
TLDR
The detection and categorization of animate motions is a crucial task underlying social interaction and perceptual decision making. Expand
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An audiovisual political speech analysis incorporating eye-tracking and perception data
TLDR
We investigate the influence of audiovisual features on the perception of speaking style and performance of politicians, utilizing a large publicly available dataset of German parliament recordings. Expand
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