3 citations · 5 across the 6 of their papers we have counts for
6 papers · 1 filter
A Multimodal German Dataset for Automatic Lip Reading Systems and Transfer Learning
Gerald Schwiebert, Cornelius Weber, Leyuan Qu +2
Large datasets as required for deep learning of lip reading do not exist in many languages. In this paper we present the dataset GLips (German Lips) consisting of 250,000 publicly…
Looking Beyond Corners: Contrastive Learning of Visual Representations for Keypoint Detection and Description Extraction
Henrique Siqueira, Patrick Ruhkamp, Ibrahim Halfaoui +2
Learnable keypoint detectors and descriptors are beginning to outperform classical hand-crafted feature extraction methods. Recent studies on self-supervised learning of visual rep…
A Sub-Layered Hierarchical Pyramidal Neural Architecture for Facial Expression Recognition
Henrique Siqueira, Pablo Barros, Sven Magg +2
In domains where computational resources and labeled data are limited, such as in robotics, deep networks with millions of weights might not be the optimal solution. In this paper,…
An Ensemble with Shared Representations Based on Convolutional Networks for Continually Learning Facial Expressions
Henrique Siqueira, Pablo Barros, Sven Magg +1
Social robots able to continually learn facial expressions could progressively improve their emotion recognition capability towards people interacting with them. Semi-supervised le…
Facial Expression Editing with Continuous Emotion Labels
Alexandra Lindt, Pablo Barros, Henrique Siqueira +1
Recently deep generative models have achieved impressive results in the field of automated facial expression editing. However, the approaches presented so far presume a discrete re…
Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks
Henrique Siqueira, Sven Magg, Stefan Wermter
Ensemble methods, traditionally built with independently trained de-correlated models, have proven to be efficient methods for reducing the remaining residual generalization error,…