A5083679761- Color perception and design
- Visual perception and processing mechanisms
- Advanced Image and Video Retrieval Techniques
- AI-based Problem Solving and Planning
- Multisensory perception and integration
- Multimodal Machine Learning Applications
- Domain Adaptation and Few-Shot Learning
- Topic Modeling
- Natural Language Processing Techniques
- Emotion and Mood Recognition
- Face and Expression Recognition
Guizhou University
2024
Emotional recognition is a pivotal research domain in computer and cognitive science. Recent advancements have led to various emotion methods, leveraging data from diverse sources like speech, facial expressions, electroencephalogram (EEG), electrocardiogram, eye tracking (ET). This article introduces novel framework, primarily targeting the analysis of users’ psychological reactions stimuli. It important note that stimuli eliciting emotional responses are as critical themselves. Hence, our...
This article, from the perspective of structural features, focuses on in-car user interface icons and explores impact different icon features visual search efficiency. Initially, we categorised into four groups based features: individual structure (ISI), enclosed (ESI), horizontal (HSI) vertical (VSI). Subsequently, conducted a experiment with as sole variable, recording participants' behaviours eye-tracking data. Finally, data analysis was using methods including variance logistic...
In the realm of large multi-modal models (LMMs), efficient modality alignment is crucial yet often constrained by scarcity high-quality image-text data. To address this bottleneck, we introduce ShareGPT4V dataset, a pioneering large-scale resource featuring 1.2 million highly descriptive captions, which surpasses existing datasets in diversity and information content, covering world knowledge, object properties, spatial relationships, aesthetic evaluations. Specifically, originates from...
Analogy-based hypothesis generation combined with ontology-based deduction is a promising technique for knowledge discovery and validation. We are using this approach to improve the quality of analogy reasoning. This paper report our work in progress that direction. will discuss formal basis method from symbolic machine-learning point view propose generalized model analogy-based allows multi-strategy learning analogies. also present results experiments unstructured summary data Center...