Robust emotion recognition in context debiasing
Context-aware emotion recognition (CAER) has recently boosted the practical applications
of affective computing techniques in unconstrained environments. Mainstream CAER …
of affective computing techniques in unconstrained environments. Mainstream CAER …
Communication-Efficient Collaborative Perception via Information Filling with Codebook
Collaborative perception empowers each agent to improve its perceptual ability through the
exchange of perceptual messages with other agents. It inherently results in a fundamental …
exchange of perceptual messages with other agents. It inherently results in a fundamental …
Towards Multimodal Human Intention Understanding Debiasing via Subject-Deconfounding
Multimodal intention understanding (MIU) is an indispensable component of human
expression analysis (eg, sentiment or humor) from heterogeneous modalities, including …
expression analysis (eg, sentiment or humor) from heterogeneous modalities, including …
Towards multimodal sentiment analysis debiasing via bias purification
Multimodal Sentiment Analysis (MSA) aims to understand human intentions by integrating
emotion-related clues from diverse modalities, such as visual, language, and audio …
emotion-related clues from diverse modalities, such as visual, language, and audio …
Can LLMs' Tuning Methods Work in Medical Multimodal Domain?
While large language models (LLMs) excel in world knowledge understanding, adapting
them to specific subfields requires precise adjustments. Due to the model's vast scale …
them to specific subfields requires precise adjustments. Due to the model's vast scale …
Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities
Multimodal sentiment analysis (MSA) aims to understand human sentiment through
multimodal data. Most MSA efforts are based on the assumption of modality completeness …
multimodal data. Most MSA efforts are based on the assumption of modality completeness …
ERMVP: Communication-Efficient and Collaboration-Robust Multi-Vehicle Perception in Challenging Environments
Collaborative perception enhances perception performance by enabling autonomous
vehicles to exchange complementary information. Despite its potential to revolutionize the …
vehicles to exchange complementary information. Despite its potential to revolutionize the …
Adaptive communications in collaborative perception with domain alignment for autonomous driving
Collaborative perception among multiple connected and autonomous vehicles can greatly
enhance perceptive capabilities by allowing vehicles to exchange supplementary …
enhance perceptive capabilities by allowing vehicles to exchange supplementary …
Pragmatic Communication in Multi-Agent Collaborative Perception
Collaborative perception allows each agent to enhance its perceptual abilities by
exchanging messages with others. It inherently results in a trade-off between perception …
exchanging messages with others. It inherently results in a trade-off between perception …
A Unified Self-Distillation Framework for Multimodal Sentiment Analysis with Uncertain Missing Modalities
Multimodal Sentiment Analysis (MSA) has attracted widespread research attention recently.
Most MSA studies are based on the assumption of modality completeness. However, many …
Most MSA studies are based on the assumption of modality completeness. However, many …