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Multi-Modal Sentiment Analysis
The natural interaction ability between human and machine mainly involves human-machine dialogue ability, multi-modal sentiment analysis ability,...
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Multi-modal interaction using time division long-term evolution (TD-LTE) for space designing exhibition
The pavilion combines multi-modal interaction based on Time-Division Long Term Evolution (TD-LTE) to increase the exhibition's interactivity and...
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Projected augmented reality assembly assistance system supporting multi-modal interaction
As an application paradigm of augmented reality in industry, the projected augmented reality (PAR) system is helpful in assembly, improving the...
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Multi-modal fusion for robust hand gesture recognition based on heterogeneous networks
Hand gesture recognition has become a vital subject in the fields of human-computer interaction and rehabilitation assessment. This paper presents a...
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A Lagrangian Analysis of Combustion Regimes Using Multi-modal Turbulent Combustion Model
High Reynolds number turbulent reacting flows poses a modeling challenge due to the multi-regime, mixed-mode nature of the combustion processes. This...
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MMT: Transformer for Multi-modal Multi-label Self-supervised Learning
We proposed a novel network, called Transformer, for Multi-modal Multi-label Self-Supervised Learning (MMT) in the context of video classification....
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Research on Multi-modal Human–Computer Interaction Products Under the Background of Artificial Intelligence
Today’s society is in an era of data flooding, data and life are inseparable. Under the impact of big data, traditional products are gradually moving...
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Speech Emotion Recognition: A Brief Review of Multi-modal Multi-task Learning Approaches
Speech emotion recognition (SER) has become an attention-grabbing topic in recent years thanks to the development of deep learning in the field of...
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Investigating the Role of Multi-modal Social Cues in Human-Robot Collaboration in Industrial Settings
Expressing social cues through different communication channels plays an important role in mutual understanding, in both human-human and human-robot...
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A Review of the Application of Multi-modal Deep Learning in Medicine: Bibliometrics and Future Directions
In recent years, deep learning has been applied in the field of clinical medicine to process large-scale medical images, for large-scale data...
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HMNet: a hierarchical multi-modal network for educational video concept prediction
Educational video concept prediction is a challenging task in the online education system that aims to assign appropriate hierarchical concepts to...
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Test method of laser paint removal based on multi-modal feature fusion
Laser cleaning is a highly nonlinear physical process for solving poor single-modal (e.g., acoustic or vision) detection performance and low...
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Designing Multi-Modal Conversational Agents for the Kitchen with Older Adults: A Participatory Design Study
Conversational agents (CA) are increasingly used to manage and coordinate household chores and everyday activities at home. However, these...
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Multi-modal Interactive Experience Design of Automotive Central Control System
The design strategy of multi-modal technology in the automotive central control system promotes the conversion of automotive interactive systems to...
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Learning Hash Subspace from Large-Scale Multi-modal Pre-Training: A CLIP-Based Cross-modal Hashing Framework
Multi-modal pre-training models act as a foundational approach for various multi-modal downstream tasks, including cross-modal retrieval. However,...
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Multi-modal Natural Man–Machine Interaction Technology and Its Application for Lunar Robot
For the requirements of multi-modal man–machine interaction between astronauts and robots in lunar surface exploration, research on three interaction...
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A Study on the Multi-modal Interaction Pattern of “Culture + Museum”
In order to explore the way of integration and innovative development of national culture and modern digital museum. Taking Liaoning Provincial...
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A Multi-modal Framework for Robots to Learn Manipulation Tasks from Human Demonstrations
Enabling robots to learn manipulation tasks by observing human demonstrations remains a major challenge. Recent advances in video captioning tasks...
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Tactile Codec with Visual Assistance in Multi-modal Communication for Digital Health
In the digital health, with the development of communication, medical information in all modalities is growing exponentially. Therefore, an effective...
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Multi-agent Modal Logic Evaluating Implicit Information
This paper studies relational Kripke models for computation truth values in some extended logical language. The multi-agent modal language is...