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Found 8 papers, 2 papers with code
A Multimodal German Dataset for Automatic Lip Reading Systems and Transfer Learning
Large datasets as required for deep learning of lip reading do not exist in many languages.
Looking Beyond Corners: Contrastive Learning of Visual Representations for Keypoint Detection and Description Extraction
Learnable keypoint detectors and descriptors are beginning to outperform classical hand-crafted feature extraction methods.
A Sub-Layered Hierarchical Pyramidal Neural Architecture for Facial Expression Recognition
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.
Facial Expression Recognition
Facial Expression Recognition (FER)
Disambiguating Affective Stimulus Associations for Robot Perception and Dialogue
In this paper, we utilize the NICO robot's appearance and capabilities to give the NICO the ability to model a coherent affective association between a perceived auditory stimulus and a temporally asynchronous emotion expression.
An Ensemble with Shared Representations Based on Convolutional Networks for Continually Learning Facial Expressions
Social robots able to continually learn facial expressions could progressively improve their emotion recognition capability towards people interacting with them.
Facial Expression Editing with Continuous Emotion Labels
Recently deep generative models have achieved impressive results in the field of automated facial expression editing.
Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks
Experiments on large-scale datasets suggest that ESRs reduce the remaining residual generalization error on the AffectNet and FER+ datasets, reach human-level performance, and outperform state-of-the-art methods on facial expression recognition in the wild using emotion and affect concepts.
Ranked #12 on
Facial Expression Recognition (FER)
on FER+
(using extra training data)
Facial Expression Recognition
Facial Expression Recognition (FER)
The OMG-Emotion Behavior Dataset
This paper is the basis paper for the accepted IJCNN challenge One-Minute Gradual-Emotion Recognition (OMG-Emotion) by which we hope to foster long-emotion classification using neural models for the benefit of the IJCNN community.
Human-Computer Interaction
