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124 Result(s)
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Article
Facial expression recognition based on local–global information reasoning and spatial distribution of landmark features
In the field of facial expression recognition (FER), two main trends point to the data-driven FER and feature-driven FER exist. The former focused on the data problems (e.g., sample imbalance and multimodal fu...
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Article
Enhanced performance of EEG-based brain–computer interfaces by joint sample and feature importance assessment
Electroencephalograph (EEG) has been a reliable data source for building brain–computer interface (BCI) systems; however, it is not reasonable to use the feature vector extracted from multiple EEG channels and...
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Article
LKFormer: large kernel transformer for infrared image super-resolution
Given the broad application of infrared technology across diverse fields, there is an increasing emphasis on investigating super-resolution techniques for infrared images within the realm of deep learning. Des...
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Chapter and Conference Paper
Energy-Based Policy Constraint for Offline Reinforcement Learning
Offline RL suffers from the distribution shift problem. One way to address this issue is to constrain the divergence between the target policy and the behavior policy. However, directly using the behavior poli...
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Article
DVC-Net: a new dual-view context-aware network for emotion recognition in the wild
Emotion recognition in the wild (ERW) is a challenging task due to unknown and the unconstrained scenes in the wild environment. Different from previous approaches that use facial expression or posture for ERW...
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Chapter and Conference Paper
ACT: Action-assoCiated and Target-Related Representations for Object Navigation
Object navigation tasks require an agent to find a target in an unknown environment based on its observations. Researchers employ various techniques, such as extracting high-level semantic information and buil...
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Article
Cascade Attentive Dropout for Weakly Supervised Object Detection
Weakly supervised object detection (WSOD) aims to classify and locate objects with only image-level supervision. Many WSOD approaches adopt multiple instance learning as the initial model, which is prone to co...
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Article
Principal relation component reasoning-enhanced social relation recognition
Social relationships (SRs) are the basis of human life. Hence, the ability to accurately recognize interpersonal relations in public spaces based on visual observations helps policymakers improve mental health...
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Article
High-speed dense matching algorithm for high-resolution aerial image based on CPU-FPGA
The paper proposes a new initial disparity estimation algorithm based on sparse local feature matching and one-dimensional dynamic programming. The new algorithm solves the problems of long calculation time, h...
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Article
Open AccessA new unsupervised pseudo-siamese network with two filling strategies for image denoising and quality enhancement
Digital image noise may be introduced during acquisition, transmission, or processing and affects readability and image processing effectiveness. The accuracy of established image processing techniques, such a...
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Article
ITFD: an instance-level triplet few-shot detection network under weighted pair-resampling
Few-shot object detection has been widely applied in industrial applications, endangered detection, tumor lesion detection, etc. Although many excellent few-shot detection models have been proposed recently, i...
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Article
A new deep belief network-based multi-task learning for diagnosis of Alzheimer’s disease
Accurate classification of Alzheimer’s disease (AD) and mild cognitive impairment (MCI), especially distinguishing the progressive MCI (pMCI) from stable MCI (sMCI), will be helpful in both reducing the risk o...
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Article
A feature weighted support vector machine and artificial neural network algorithm for academic course performance prediction
Academic performance, a globally understood metric, is utilized worldwide across disparate teaching and learning environments and is regarded as a quantifiable indicator of learning gain. The ability to reliab...
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Article
Adaptive receptive field U-shaped temporal convolutional network for vulgar action segmentation
Temporally detecting and classifying action segments in untrimmed videos are significant for many applications, especially for the detection of vulgar actions such as sucking and caressing in video platform su...
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Article
Application of improved ant colony algorithm in load balancing of software-defined networks
Software-defined networking (SDN) separates the forwarding plane and control plane of the network equipment, adopts a centralized control mode to simplify network deployment and improve network management effi...
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Chapter and Conference Paper
MSP: Learned Query Performance Prediction Using MetaInfo and Structure of Plans
Query performance prediction is important and challenging in database management systems. The traditional cost-based methods perform poorly predicting query performance due to inaccurate cost estimates. In rec...
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Chapter and Conference Paper
Proactive Rumor Control: When Impression Counts
The spread of rumors in online networks threatens public safety and results in economic losses. To overcome this problem, a lot of work studies the problem of rumor control which aims at limiting the spread of...
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Chapter and Conference Paper
User Context-Aware Attention Networks for Answer Selection
Answer selection aims to find the most appropriate answer from a set of candidate answers, playing an increasingly important role in Community-based Question Answering. However, existing studies overlook the c...
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Chapter and Conference Paper
How to Share Medical Data Belonging to Multiple Owners in a Secure Manner
Over the past few years, we have witnessed that the big data analysis technologies based on machine learning and deep learning have brought great change to medical research. The medical data is a special kind ...
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Article
HF-SRGR: a new hybrid feature-driven social relation graph reasoning model
Social relations and interactions between persons form the foundation of human society. Effective recognition of social relationships has great potential for understanding and improving people’s psychology and...