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08/04/2023
Efficient Labelling of Affective Video Datasets via Few-Shot Multi-Task Contrastive Learning
Whilst deep learning techniques have achieved excellent emotion predicti...
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06/12/2023
A Weakly Supervised Approach to Emotion-change Prediction and Improved Mood Inference
Whilst a majority of affective computing research focuses on inferring e...
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03/12/2023
Focus on Change: Mood Prediction by Learning Emotion Changes via Spatio-Temporal Attention
While emotion and mood interchangeably used, they differ in terms of dur...
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10/03/2022
To Improve Is to Change: Towards Improving Mood Prediction by Learning Changes in Emotion
Although the terms mood and emotion are closely related and often used i...
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04/16/2022
Visual Attention Methods in Deep Learning: An In-Depth Survey
Inspired by the human cognitive system, attention is a mechanism that im...
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03/24/2022
CrossFormer: Cross Spatio-Temporal Transformer for 3D Human Pose Estimation
3D human pose estimation can be handled by encoding the geometric depend...
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02/21/2022
Automated Parkinson's Disease Detection and Affective Analysis from Emotional EEG Signals
While Parkinson's disease (PD) is typically characterized by motor disor...
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07/23/2021
Learning Discriminative Representations for Multi-Label Image Recognition
Multi-label recognition is a fundamental, and yet is a challenging task ...
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12/08/2020
Mitigating the Impact of Adversarial Attacks in Very Deep Networks
Deep Neural Network (DNN) models have vulnerabilities related to securit...
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12/03/2015