232 Result(s)
within
Yuhang **
Computer Science
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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
SES-YOLOv8n: automatic driving object detection algorithm based on improved YOLOv8
The perception system in autonomous driving mainly uses object detection algorithms to obtain the distribution of obstacles for recognition and analysis. Current object detection algorithms have rapidly develo...
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Article
Open AccessSemantic guidance incremental network for efficiency video super-resolution
In video streaming, bandwidth constraints significantly affect client-side video quality. Addressing this, deep neural networks offer a promising avenue for implementing video super-resolution (VSR) at the use...
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Article
Fourth-order partial differential diffusion model with adaptive Laplacian kernel for low-dose CT image processing
Low-dose computed tomography (LDCT) reduces radiation damage to patients, however, it adds noise and artifacts to the reconstructed images, which deteriorates the quality of CT images. To address the problem o...
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Article
Wideband chaos generation using a VCSEL with intensity modulation optical injection for random number generation
In conclusion, a scheme for broadband chaos generation is proposed and demonstrated based on a VCSEL with subharmonic modulation optical injection. A 1/2 sub-harmonic modulation signal is injected into the VCS...
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Article
Convergence and stability of the Milstein scheme for stochastic differential equations with piecewise continuous arguments
This work develops the Milstein scheme for commutative stochastic differential equations with piecewise continuous arguments (SDEPCAs), which can be viewed as stochastic differential equations with time-depend...
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Article
Luminance domain-guided low-light image enhancement
Images captured under low-light conditions often suffer from low contrast, high noise, and uneven brightness due to nightlight, backlight, and shadow. These challenges make it difficult to use them as high-qua...
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Article
An isolated symmetrical 2T2R cell enabling high precision and high density for RRAM-based in-memory computing
In-memory computing (IMC), leveraging emerging memories, holds significant promise in overcoming memory limitations and improving energy efficiency. However, the prevailing IMC array structure based on seriall...
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Article
Skin lesion image segmentation based on improved U-shaped network
Skin lesion segmentation is an important step to help us in skin cancer diagnosis. However, skin lesions have variable shapes, fuzzy boundaries, and various colors, which bring challenges to the accurate segme...
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Article
Error-Aware Conversion from ANN to SNN via Post-training Parameter Calibration
Spiking Neural Network (SNN), originating from the neural behavior in biology, has been recognized as one of the next-generation neural networks. Conventionally, SNNs can be obtained by converting from pre-tra...
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Article
A comparative study of super-resolution algorithms for video streaming application
The escalating consumption of superior quality streaming videos among digital users has intensified the exploration of Video Super-Resolution (VSR) methodologies. Implementing VSR on the user end enhances vide...
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Article
Open AccessPEB-TAXO: Projecting Entities as Boxes for Taxonomy Expansion
As domain knowledge evolves, new concepts (entities) continuously emerge, leading to a decrease in the coverage of existing taxonomies with hierarchical structures, thus necessitating the continual expansion o...
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Article
Open AccessMaxwell’s Demon in MLP-Mixer: towards transferable adversarial attacks
Models based on MLP-Mixer architecture are becoming popular, but they still suffer from adversarial examples. Although it has been shown that MLP-Mixer is more robust to adversarial attacks compared to convolu...
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Chapter and Conference Paper
DeepChrom: A Diffusion-Based Framework for Long-Tailed Chromatin State Prediction
Chromatin state reflects distinct biological roles of the genome that can systematically characterize regulatory elements and their functional interaction. Despite extensive computational studies, accurate pre...
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Chapter and Conference Paper
Lidar-Inertial SLAM Method for Accurate and Robust Map**
In recent studies on LiDAR SLAM, the achievement of robust optimized LiDAR odometry is the primary objective. For the map** part, some studies focus on improving the processing of point cloud, while others a...
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Chapter and Conference Paper
TU-Former: A Hybrid U-Shaped Transformer Network for SAR Image Denoising
In order to obtain a better synthetic aperture radar (SAR) image noise suppression effect, we combine Convolutional Neural Network (CNN) and Transformer network to construct a U-shaped hybrid Transformer (TU-f...
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Chapter and Conference Paper
An Efficient and Lightweight Structure for Spatial-Temporal Feature Extraction in Video Super Resolution
Video Super Resolution (VSR) model based on deep convolutional neural network (CNN) uses multiple Low-Resolution (LR) frames as input and has a strong ability to recover High-Resolution (HR) frames and maintai...
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Chapter and Conference Paper
TICondition: Expanding Control Capabilities for Text-to-Image Generation with Multi-Modal Conditions
Text-to-image generation models have achieved significant advancements, enabling the generation of high-quality and diverse images. However, solely relying on text prompts often leads to limited control over i...
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Chapter and Conference Paper
High-Resolution Feature Representation Driven Infrared Small-Dim Object Detection
Infrared small-dim object detection is a challenging task due to the small size, weak features, lack of prominent structural information, and vulnerability to background interference. During the process of dee...
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Chapter and Conference Paper
Consistent and Accurate Segmentation for Serial Infant Brain MR Images with Registration Assistance
The infant brain develops dramatically during the first two years of life. Accurate segmentation of brain tissues is essential to understand the early development of both normal and disease changes. However, t...
