Towards context-aware emotion recognition debiasing from a causal demystification perspective via de-confounded training
Understanding emotions from diverse contexts has received widespread attention in
computer vision communities. The core philosophy of Context-Aware Emotion Recognition …
computer vision communities. The core philosophy of Context-Aware Emotion Recognition …
Has Multimodal Learning Delivered Universal Intelligence in Healthcare? A Comprehensive Survey
The rapid development of artificial intelligence has constantly reshaped the field of
intelligent healthcare and medicine. As a vital technology, multimodal learning has …
intelligent healthcare and medicine. As a vital technology, multimodal learning has …
A Survey on Trustworthiness in Foundation Models for Medical Image Analysis
The rapid advancement of foundation models in medical imaging represents a significant
leap toward enhancing diagnostic accuracy and personalized treatment. However, the …
leap toward enhancing diagnostic accuracy and personalized treatment. However, the …
Asynchronous Multimodal Video Sequence Fusion via Learning Modality-Exclusive and-Agnostic Representations
Understanding human intentions (eg., emotions) from videos has received considerable
attention recently. Video streams generally constitute a blend of temporal data stemming …
attention recently. Video streams generally constitute a blend of temporal data stemming …
A Survey on Multimodal Benchmarks: In the Era of Large AI Models
The rapid evolution of Multimodal Large Language Models (MLLMs) has brought substantial
advancements in artificial intelligence, significantly enhancing the capability to understand …
advancements in artificial intelligence, significantly enhancing the capability to understand …
MedThink: Inducing Medical Large-scale Visual Language Models to Hallucinate Less by Thinking More
When Large Vision Language Models (LVLMs) are applied to multimodal medical
generative tasks, they suffer from significant model hallucination issues. This severely …
generative tasks, they suffer from significant model hallucination issues. This severely …