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Computer Science
English
Artificial Intelligence
Image Processing and Computer Vision
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Article
Open AccessUsability of visualizing position and orientation deviations for manual precise manipulation of objects in augmented reality
Manual precise manipulation of objects is an essential skill in everyday life, and Augmented Reality (AR) is increasingly being used to support such operations. In this study, we investigate whether detailed v...
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Dynamic event-triggered adaptive control for state-constrained strict-feedback nonlinear systems with guaranteed feasibility conditions
In this paper, a new dynamic event-triggered control solution is presented for state-constrained strict-feedback nonlinear systems. The current barrier Lyapunov function is required to assume or remove the fea...
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Article
MFDNet: Multi-Frequency Deflare Network for efficient nighttime flare removal
When light is scattered or reflected accidentally in the lens, flare artifacts may appear in the captured photographs, affecting the photographs’ visual quality. The main challenge in flare removal is to elimi...
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Transmission-guided multi-feature fusion Dehaze network
Image dehazing is an important direction of low-level visual tasks, and its quality and efficiency directly affect the quality of high-level visual tasks. Therefore, how to quickly and efficiently process hazy...
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Real-time salient object detection based on accuracy background and salient path source selection
Boundary and connectivity prior are common methods for detecting the image salient object. They often address two problems: 1) if the salient object touches the image boundary, the saliency of the object will ...
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Effective multi-scale enhancement fusion method for low-light images based on interest-area perception OCTM and “pixel healthiness” evaluation
Low-light images suffer from low contrast and low dynamic range. However, most existing single-frame low-light image enhancement algorithms are not good enough in terms of detail preservation and color express...
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Event-Driven Heterogeneous Network for Video Deraining
Restoring clear frames from rainy videos poses a significant challenge due to the swift motion of rain streaks. Traditional frame-based visual sensors, which record dense scene content synchronously, struggle ...
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Preference detection of the humanoid robot face based on EEG and eye movement
The face of a humanoid robot can affect the user experience, and the detection of face preference is particularly important. Preference detection belongs to a branch of emotion recognition that has received mu...
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Open AccessFew-shot anime pose transfer
In this paper, we propose a few-shot method for pose transfer of anime characters—given a source image of an anime character and a target pose, we transfer the pose of the target to the source character. Despi...
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Dual-mechanism surface tension model for SPH-based simulation
We present an innovative Lagrangian dual-mechanism model for simulating versatile surface tension phenomena, designed to replicate the intricate interplay of liquids with textured solid surfaces and the emerge...
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Retraction Note: Editorial: neural computing in next-generation virtual reality technology
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Article
Spatially-Varying Illumination-Aware Indoor Harmonization
In this paper, we address the problem of spatially-varying illumination-aware indoor harmonization. Existing image harmonization works either focus on extracting no more than 2D information (e.g., low-level st...
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Article
Model predictive control for a bending pneumatic muscle based on an online modified generalized Prandtl–Ishlinskii model
Pneumatic actuators exhibit significant potential across various applications owing to their compliance, yet achieving precise motion control remains challenging due to rate-dependent and asymmetric hysteresis...
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Open AccessShadow-aware image colorization
Significant advancements have been made in colorization in recent years, especially with the introduction of deep learning technology. However, challenges remain in accurately colorizing images under certain l...
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Sub-region aware retrieval-based network with multimodal prior knowledge guidance for microvascular invasion prediction in PET/CT imaging
Accurate preoperative microvascular invasion (MVI) prediction using PET/CT imaging is important for guiding surgical plans and treatment strategies for hepatocellular carcinoma (HCC) patients. Deep learning (D...
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View-Invariant Skeleton Action Representation Learning via Motion Retargeting
Current self-supervised approaches for skeleton action representation learning often focus on constrained scenarios, where videos and skeleton data are recorded in laboratory settings. When dealing with estima...
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Refined tri-directional path tracing with generated light portal
The rendering efficiency of Monte Carlo path tracing often depends on the ease of path construction. For scenes with particularly complex visibility, e.g. where the camera and light sources are placed in separ...
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A coarse-to-fine small object detection framework based on a background complexity classification strategy
Object detection has achieved great progress and is used in various tasks. However, detecting small objects with lack of appearance information is still a challenging task. It is found that even if the trainin...
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End-to-end dynamic residual focal transformer network for multimodal medical image fusion
Multimodal medical image fusion aims to improve the clinical practicability of medical images by integrating complementary information from multiple medical images. However, in traditional fusion methods, the ...
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Article
JointMETRO: a 3D reconstruction model for human figures in works of art based on transformer
Sculptures and paintings are an important part of our cultural heritage, and 3D reconstruction of the human in them can help us better preserve and inherit this heritage. By creating 3D models of sculptures an...
