Domain Adaptation Explainability & Fairness in AI for Medical Image Analysis: Diagnosis of COVID-19 based on 3-D Chest CT-scans
The paper presents the DEF-AI-MIA COV19D Competition which is organized in the
framework of the'Domain adaptation Explainability Fairness in AI for Medical Image Analysis …
framework of the'Domain adaptation Explainability Fairness in AI for Medical Image Analysis …
Analysing affective behavior in the first abaw 2020 competition
D Kollias, A Schulc, E Hajiyev… - 2020 15th IEEE …, 2020 - ieeexplore.ieee.org
The Affective Behavior Analysis in-the-wild (ABAW) 2020 Competition is the first Competition
aiming at automatic analysis of the three main behavior tasks of valence-arousal estimation …
aiming at automatic analysis of the three main behavior tasks of valence-arousal estimation …
Deep transparent prediction through latent representation analysis
D Kollias, N Bouas, Y Vlaxos, V Brillakis… - arXiv preprint arXiv …, 2020 - arxiv.org
The paper presents a novel deep learning approach, which extracts latent information from
trained Deep Neural Networks (DNNs) and derives concise representations that are …
trained Deep Neural Networks (DNNs) and derives concise representations that are …
Transparent adaptation in deep medical image diagnosis
The paper presents a novel deep learning approach, which extracts latent information from
trained Deep Neural Networks (DNNs) and derives concise representations that are …
trained Deep Neural Networks (DNNs) and derives concise representations that are …
A supervised approach to movie emotion tracking
N Malandrakis, A Potamianos… - … on acoustics, speech …, 2011 - ieeexplore.ieee.org
In this paper, we present experiments on continuous time, continuous scale affective movie
content recognition (emotion tracking). A major obstacle for emotion research has been the …
content recognition (emotion tracking). A major obstacle for emotion research has been the …
An autoencoder wavelet based deep neural network with attention mechanism for multi-step prediction of plant growth
Multi-step-ahead prediction is considered of major significance for time series analysis in
many real life problems. Existing methods mainly focus on one-step-ahead forecasting …
many real life problems. Existing methods mainly focus on one-step-ahead forecasting …
Video event detection and summarization using audio, visual and text saliency
G Evangelopoulos, A Zlatintsi… - … on acoustics, speech …, 2009 - ieeexplore.ieee.org
Detection of perceptually important video events is formulated here on the basis of saliency
models for the audio, visual and textual information conveyed in a video stream. Audio …
models for the audio, visual and textual information conveyed in a video stream. Audio …
An adaptive computational model for salient object detection
Salient object detection is a basic technique for many computer vision applications. In this
paper, we propose an adaptive computational model to detect the salient object in color …
paper, we propose an adaptive computational model to detect the salient object in color …
A novel H. 264 rate control algorithm with consideration of visual attention
In video coding, a well-designed rate control scheme should be concerned with both the
objective and subjective quality. However, the existing H. 264 rate control algorithms mainly …
objective and subjective quality. However, the existing H. 264 rate control algorithms mainly …
Spatiotemporal saliency for video classification
Computer vision applications often need to process only a representative part of the visual
input rather than the whole image/sequence. Considerable research has been carried out …
input rather than the whole image/sequence. Considerable research has been carried out …