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Found 13 papers, 1 papers with code
AVASAG: A German Sign Language Translation System for Public Services (short paper)
This paper presents an overview of AVASAG; an ongoing applied-research project developing a text-to-sign-language translation system for public services.
Fine-tuning of Convolutional Neural Networks for the Recognition of Facial Expressions in Sign Language Video Samples
In this paper, we investigate the capability of convolutional neural networks to recognize in sign language video frames the six basic Ekman facial expressions for ‘fear’, ‘disgust’, ‘surprise’, ‘sadness’, ‘happiness’, ‘anger’ along with the ‘neutral’ class.
A Software Toolkit for Pre-processing Sign Language Video Streams
We present the requirements, design guidelines, and the software architecture of an open-source toolkit dedicated to the pre-processing of sign language video material.
Avatar Visual Similarity for Social HCI: Increasing Self-Awareness
An increasing degree of avatar visual similarity influences antecedents of self-awareness in virtual environments.
Fine-tuning of explainable CNNs for skin lesion classification based on dermatologists' feedback towards increasing trust
In this paper, we propose a CNN fine-tuning method which enables users to give simultaneous feedback on two outputs: the classification itself and the visual explanation for the classification.
Influence of Movement Energy and Affect Priming on the Perception of Virtual Characters Extroversion and Mood
This paper presents different configurations of Movement Energy for virtual characters and two studies about how these influence the perception of the characters’ personality, extroversion in particular, and mood.
Minimizing false negative rate in melanoma detection and providing insight into the causes of classification
Our goal is to bridge human and machine intelligence in melanoma detection.
An Attention Mechanism with Multiple Knowledge Sources for COVID-19 Detection from CT Images
Until now, Coronavirus SARS-CoV-2 has caused more than 850, 000 deaths and infected more than 27 million individuals in over 120 countries.
A Competitive Deep Neural Network Approach for the ImageCLEFmed Caption 2020 Task
The aim of ImageCLEFmed Caption task is to develop a system that automatically labels radiology images with relevant medical concepts.
The Skincare project, an interactive deep learning system for differential diagnosis of malignant skin lesions. Technical Report
However, the main contribution is a diagnostic and decision support system in dermatology for patients and doctors, an interactive deep learning system for differential diagnosis of malignant skin lesions.
A CNN toolbox for skin cancer classification
We describe a software toolbox for the configuration of deep neural networks in the domain of skin cancer classification.
DeepHPS: End-to-end Estimation of 3D Hand Pose and Shape by Learning from Synthetic Depth
Also, by employing a joint training strategy with real and synthetic data, we recover 3D hand mesh and pose from real images in 3. 7ms.
Proceedings of eNTERFACE 2015 Workshop on Intelligent Interfaces
The 11th Summer Workshop on Multimodal Interfaces eNTERFACE 2015 was hosted by the Numediart Institute of Creative Technologies of the University of Mons from August 10th to September 2015.
