Pedestrian Re-ID based on feature consistency and contrast enhancement
For robust person re-identification (Re-ID), the key is effectively learning the features of body
parts and their long-distance dependence. ResNet and Transformer are respectively good at …
parts and their long-distance dependence. ResNet and Transformer are respectively good at …
Moving from narrative to interactive multi-modal sentiment analysis: A survey
A growing number of individuals are expressing their opinions and engaging in interactive
communication with others through various modalities, including natural language (text) …
communication with others through various modalities, including natural language (text) …
A graph convolution-based heterogeneous fusion network for multimodal sentiment analysis
T Zhao, J Peng, Y Huang, L Wang, H Zhang, Z Cai - Applied Intelligence, 2023 - Springer
Multimodal sentiment analysis leverages various modalities, including text, audio, and
video, to determine human sentiment tendencies, which holds significance in fields such as …
video, to determine human sentiment tendencies, which holds significance in fields such as …
A Multi-Modal ELMo Model for Image Sentiment Recognition of Consumer Data
L Rong, Y Ding, M Wang, A El Saddik… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Recent advancements in consumer electronics as well as imaging technology have
generated abundant multimodal data for consumer-centric AI applications. Effective analysis …
generated abundant multimodal data for consumer-centric AI applications. Effective analysis …
A Rearrangement and Restore Mixer Model for Target-Oriented Multimodal Sentiment Classification
With the development of fine-grained multimodal sentiment analysis tasks, target-oriented
multimodal sentiment analysis has received more attention, which aims to classify the …
multimodal sentiment analysis has received more attention, which aims to classify the …
A dual channel cyber-physical transportation network for detecting traffic incidents and driver emotion
Intelligent traffic incident detection provides benefits such as minimizing traffic accidents and
fuel consumption, reducing congestion, and enhancing transportation safety. Hence, traffic …
fuel consumption, reducing congestion, and enhancing transportation safety. Hence, traffic …
Multi-Modal Attentive Prompt Learning for Few-shot Emotion Recognition in Conversations
Emotion recognition in conversations (ERC) has emerged as an important research area in
Natural Language Processing and Affective Computing, focusing on accurately identifying …
Natural Language Processing and Affective Computing, focusing on accurately identifying …
Graph neural network‐based attack prediction for communication‐based train control systems
J Zhao, T Tang, B Bu, Q Li - CAAI Transactions on Intelligence …, 2024 - Wiley Online Library
Abstract The Advanced Persistent Threats (APTs) have emerged as one of the key security
challenges to industrial control systems. APTs are complex multi‐step attacks, and they are …
challenges to industrial control systems. APTs are complex multi‐step attacks, and they are …