11,714 Result(s)
within
Lu**g Sun
Computer Science
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Article
Cross-Modal Fusion and Progressive Decoding Network for RGB-D Salient Object Detection
Most existing RGB-D salient object detection (SOD) methods tend to achieve higher performance by integrating additional modules, such as feature enhancement and edge generation. There is no doubt that these mo...
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Article
Multi-class differentiation feature representation guided joint dictionary learning for facial expression recognition
The limitation of the small-scale expression samples generally causes the performance degradation for facial expression recognition-based methods. Also, the correlation between different expression is always i...
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Article
Enhancing image steganalysis via integrated reinforcement learning and dilated convolution techniques
In the wake of unparalleled expansion in digital communication platforms, the imperative to bolster security and privacy measures has escalated. Within this landscape, image steganalysis emerges as a pivotal d...
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Article
Lyapunov-based nonlinear model predictive control for the path following of bevel-tip flexible needles in 3D environment
This paper develops a Lyapunov-based nonlinear model predictive control (NMPC) method for the path-following task of bevel-tip flexible needle in 3D environments. First, a nonholonomic and nonlinear kinematic ...
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Article
CMEFS: chaotic map**-based mayfly optimization with fuzzy entropy for feature selection
Swarm intelligence algorithms availably settle the issue of feature selection for classification, whereas the Mayfly Optimization Algorithm (MOA) proposed in recent years has the superiority of high precision,...
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Article
Patchlpr: a multi-level feature fusion transformer network for LiDAR-based place recognition
LiDAR-based place recognition plays a crucial role in autonomous vehicles, enabling the identification of locations in GPS-invalid environments that were previously accessed. Localization in place recognition ...
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Article
A scientometric review of medical flexible needle systems in surgery: signal processing, navigation and control
Flexible needle systems showing multiple advantages in various medical scenarios, characterized by their flexibility, ease of operation, adaptable control and navigation capabilities. This paper presents a sci...
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Article
Progressive image compression for Gaussian mixture model quartile intervals
In this paper, we proposed a novel deep image coding and decoding model for GMMQI (Gaussian mixture model quartile intervals, GMMQI) and a variable rate bit allocation method to optimize the rate distortion pe...
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Article
SplatFlow: Learning Multi-frame Optical Flow via Splatting
The occlusion problem remains a crucial challenge in optical flow estimation (OFE). Despite the recent significant progress brought about by deep learning, most existing deep learning OFE methods still struggl...
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Article
A novel optimization method: wave search algorithm
This paper proposes a novel optimization method inspired by radar technology: wave search algorithm (WSA). The WSA algorithm not only draws on radar technology for its unique algorithmic design for the first t...
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Article
Technological solutions to foster preschool children’s spatial ability: A situational interactive e-book approach
Spatial ability is a significant component of mathematical ability and a foundation for children to master mathematical knowledge. Although many studies have confirmed that technology can enhance children’s le...
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Article
3D Reconstruction of flame temperature field based on lightweight residual network with spatial attention mechanism
Flame temperature field measurement has always been a key topic in combustion research, which is of great significance for combustion state diagnosis and fuel combustion optimization. Deep learning technology ...
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Article
Hierarchical contrastive representation for zero shot learning
Zero-shot learning aims to identify unseen (novel) objects, using only labeled samples from seen (base) classes. Existing methods usually learn visual-semantic interactions or generate absent visual features o...
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Article
De-confounding representation learning for counterfactual inference on continuous treatment via generative adversarial network
Counterfactual inference for continuous rather than binary treatment variables is more common in real-world causal inference tasks. While there are already some sample reweighting methods based on Marginal Str...
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Article
ACL-SAR: model agnostic adversarial contrastive learning for robust skeleton-based action recognition
Human skeleton data have been widely explored in action recognition and the human–computer interface recently, thanks to off-the-shelf motion sensors and cameras. With the widespread usage of deep models on hu...
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Article
Disturbance event triggered-model predictive tracking control for 4WIS–4WID mobile robot
Wheel-ground interactions during operation cause the robot to deviate from the reference trajectory, affecting the stability and safety of the robot. An event-triggered model predictive control based on the ob...
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Article
Deep learning-based classification and application test of multiple crop leaf diseases using transfer learning and the attention mechanism
Crop diseases are among the major natural disasters in agricultural production that seriously restrict the growth and development of crops, threatening food security. Timely classification, accurate identifica...
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Article
Multi-strategy improved sparrow search algorithm based on first definition of ellipse and group co-evolutionary mechanism for engineering optimization problems
The Sparrow Search Algorithm (SSA) is recognized for its rapid convergence and precision in engineering optimization, yet it faces the challenge of premature convergence on complex problems. To address this, a...
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Article
Correction: Efficient integer division computation protocols based on partial homomorphic encryption
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Article
Context-aware adaptive network for UDA semantic segmentation
Unsupervised Domain Adaptation (UDA) plays a pivotal role in enhancing the segmentation performance of models in the target domain by mitigating the domain shift between the source and target domains. However,...
