Generative technology for human emotion recognition: A sco** review
Affective computing stands at the forefront of artificial intelligence (AI), seeking to imbue
machines with the ability to comprehend and respond to human emotions. Central to this …
machines with the ability to comprehend and respond to human emotions. Central to this …
Affective computing in the era of large language models: A survey from the nlp perspective
Affective Computing (AC), integrating computer science, psychology, and cognitive science
knowledge, aims to enable machines to recognize, interpret, and simulate human emotions …
knowledge, aims to enable machines to recognize, interpret, and simulate human emotions …
Ontology-assisted GPT-based building performance simulation and assessment: Implementation of multizone airflow simulation
Building performance simulation (BPS) is crucial for building performance assessments
across its lifecycle. However, the complexity of buildings and the iterative nature of …
across its lifecycle. However, the complexity of buildings and the iterative nature of …
Multi-level knowledge distillation via dynamic decision boundaries exploration and exploitation
Z Tao, H Li, J Zhang, S Zhang - Information Fusion, 2024 - Elsevier
Existing knowledge distillation methods directly transfer knowledge from different
intermediate layers of the teacher model without differentiating their correctness. However …
intermediate layers of the teacher model without differentiating their correctness. However …
Noise-resistant multimodal transformer for emotion recognition
Multimodal emotion recognition identifies human emotions from various data modalities like
video, text, and audio. However, we found that this task can be easily affected by noisy …
video, text, and audio. However, we found that this task can be easily affected by noisy …
Multimodal chain-of-thought reasoning via chatgpt to protect children from age-inappropriate apps
Mobile applications (Apps) could expose children to inappropriate themes such as sexual
content, violence, and drug use. Maturity rating offers a quick and effective method for …
content, violence, and drug use. Maturity rating offers a quick and effective method for …
ERIT Lightweight Multimodal Dataset for Elderly Emotion Recognition and Multimodal Fusion Evaluation
ERIT is a novel multimodal dataset designed to facilitate research in a lightweight
multimodal fusion. It contains text and image data collected from videos of elderly individuals …
multimodal fusion. It contains text and image data collected from videos of elderly individuals …
Sztu-cmu at mer2024: Improving emotion-llama with conv-attention for multimodal emotion recognition
This paper presents our winning approach for the MER-NOISE and MER-OV tracks of the
MER2024 Challenge on multimodal emotion recognition. Our system leverages the …
MER2024 Challenge on multimodal emotion recognition. Our system leverages the …
Integrating Content-Semantics-World Knowledge to Detect Stress from Videos
Stress has rapidly emerged as a significant public health concern in the contemporary
society, necessitating prompt identification and effective intervention strategies. Video-based …
society, necessitating prompt identification and effective intervention strategies. Video-based …
A lightweight convolutional swin transformer with cutmix augmentation and CBAM attention for compound emotion recognition
Facial emotion recognition has become a complicated task due to individual variations in
facial characteristics, as well as racial and cultural variances. Different psychological studies …
facial characteristics, as well as racial and cultural variances. Different psychological studies …