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Found 8 papers, 3 papers with code
Efficient Labelling of Affective Video Datasets via Few-Shot & Multi-Task Contrastive Learning
Whilst deep learning techniques have achieved excellent emotion prediction, they still require large amounts of labelled training data, which are (a) onerous and tedious to compile, and (b) prone to errors and biases.
A Weakly Supervised Approach to Emotion-change Prediction and Improved Mood Inference
Whilst a majority of affective computing research focuses on inferring emotions, examining mood or understanding the \textit{mood-emotion interplay} has received significantly less attention.
Visual Attention Methods in Deep Learning: An In-Depth Survey
Inspired by the human cognitive system, attention is a mechanism that imitates the human cognitive awareness about specific information, amplifying critical details to focus more on the essential aspects of data.
CrossFormer: Cross Spatio-Temporal Transformer for 3D Human Pose Estimation
3D human pose estimation can be handled by encoding the geometric dependencies between the body parts and enforcing the kinematic constraints.
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3D Human Pose Estimation
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Automated Parkinson's Disease Detection and Affective Analysis from Emotional EEG Signals
Employing traditional machine learning and deep learning methods, we explore (a) dimensional and categorical emotion recognition, and (b) PD vs HC classification from emotional EEG signals.
Learning Discriminative Representations for Multi-Label Image Recognition
Multi-label recognition is a fundamental, and yet is a challenging task in computer vision.
Mitigating the Impact of Adversarial Attacks in Very Deep Networks
In it, a Defensive Feature Layer (DFL) is integrated with a well-known DNN architecture which assists in neutralizing the effects of illegitimate perturbation samples in the feature space.
Occlusion-Aware Human Pose Estimation with Mixtures of Sub-Trees
The proposed method handles occlusions during the inference process by identifying overlapping regions between different sub-trees and introducing a penalty term for overlapping parts.
