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Normalized Attention Inter-Channel Pooling (NAIP) for Deep Convolutional Neural Network Regularization
Deep learning methods have recently attracted attention in solving various tasks through their learning and determining capability for powerful...
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MARF: A Memory-Aware CLFLUSH-Based Intra- and Inter-CPU Side-Channel Attack
In this work, we conduct in-depth characterization to quantify the impact of DRAM refresh, the location of the target memory object within a...
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Learning inter-class optical flow difference using generative adversarial networks for facial expression recognition
Facial expression recognition is a fine-grained task because different emotions have subtle facial movements. This paper proposes to learn...
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Difference-guided multi-scale spatial-temporal representation for sign language recognition
Sign language recognition (SLR) is a challenging task, which requires a thorough understanding of spatial-temporal visual features for translating it...
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Improving SLIC superpixel by color difference-based region merging
Superpixel-based segmentation has been widely used as a primary prepossessing step to simplify the subsequent image processing tasks. Since...
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PhysFormer++: Facial Video-Based Physiological Measurement with SlowFast Temporal Difference Transformer
Remote photoplethysmography (rPPG), which aims at measuring heart activities and physiological signals from facial video without any contact, has...
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Multi-phase Liver-Specific DCE-MRI Translation via A Registration-Guided GAN
In the diagnosis of liver lesions, Gd-EOB-DTPA-enhanced magnetic resonance imaging (MRI) at the hepatobiliary phase (GED-HBP) is particularly...
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Human-Object Interaction Detection with Channel Aware Attention
Human-object interaction detection (HOI) is a fundamental task in computer vision, which requires locating instances and predicting their...
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Practical Phase Shift Model for RIS-Assisted D2D Communication Systems
Device-to-Device (D2D) communications, a promising spectrum and energy-effective solution, have been developed alongside the evolution of the...
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Adaptive recurrent nonnegative matrix factorization with phase compensation for Single-Channel speech enhancement
The speech signals are affected by the background noise distortion that is unfavorable to both the intelligibility as well as the speech quality....
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Digital Channel Equalizer Using Functional Link Artificial Neural Network Trained with Quantum Aquila Optimizer
In digital communication, channel equalization plays an important role in mitigating the effects of inter-symbol interference, non-linearity and...
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ICE-GCN: An interactional channel excitation-enhanced graph convolutional network for skeleton-based action recognition
Thanks to the development of depth sensors and pose estimation algorithms, skeleton-based action recognition has become prevalent in the computer...
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Cross-Modality Visible-Infrared Person Re-Identification with Multi-scale Attention and Part Aggregation
In the cross-modality visible-infrared person re-identification (VI-ReID) task, the cross-modality matching degree of visible-infrared images is low...
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A novel 2-phase consensus with customized feedback based group decision-making involving heterogeneous decision-makers
In Group Decision-Making (GDM), decision-makers (DMs) who are experts take wise decisions. But in systems such as smart cities, IoT, and e-democracy,...
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Modality-Specific Effect of Cueing on Inter-Manual Coordination in Bimanual Force Control Tasks with Accentuated- or Attenuated-Force Production
Little is known about how perceptual modality affects the inter-manual coordination in bimanual force control tasks with accentuated- or...
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Research on Distributed Beamforming Algorithm Based on Inter-satellite Link
The inter-satellite link load belongs to a system with limited power volume, and generally has low antenna gain and weak transmission capacity. Aimed...
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LGCANet: lightweight hand pose estimation network based on HRNet
Hand pose estimation is a fundamental task in computer vision with applications in virtual reality, gesture recognition, autonomous driving, and...
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Complementary Attention Network for Weakly Supervised Temporal Action Localization
Weakly supervised temporal action localization effectively reduces the expensive cost of manual labeling. Some works are implemented based on the...
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CLGFormer: Cross-Level-Guided transformer for RGB-D semantic segmentation
RGB-D semantic segmentation has been widely studied and obtained remarkable performance. However, traditional methods fall short in exploiting...
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Self-knowledge distillation enhanced binary neural networks derived from underutilized information
Binarization efficiently compresses full-precision convolutional neural networks (CNNs) to achieve accelerated inference but with substantial...
