99 Result(s)
within
Yi**ang Chen
Artificial Intelligence
Computer Graphics
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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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Article
Distribution-decouple learning network: an innovative approach for single image dehazing with spatial and frequency decoupling
Image dehazing methods face challenges in addressing the high coupling between haze and object feature distributions in the spatial and frequency domains. This coupling often results in oversharpening, color d...
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Article
Open AccessDeep learning-driven automated quality assessment of ultra-widefield optical coherence tomography angiography images for diabetic retinopathy
Image quality assessment (IQA) of fundus images constitutes a foundational step in automated disease analysis. This process is pivotal in supporting the automation of screening, diagnosis, follow-up, and relat...
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Article
GAMNet: a gated attention mechanism network for grading myopic traction maculopathy in OCT images
Myopic traction maculopathy (MTM) is a retinal disease caused by tractional forces on the macula, serving as a major contributor to irreversible visual impairment in highly myopic eyes. Given the clinical dive...
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Article
Feature distribution normalization network for multi-view stereo
As a key technique in 3D reconstruction, research in multi-view stereo (MVS) has made significant progress with the development of deep learning. However, MVS faces challenges due to inconsistent feature distr...
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Article
QEAN: quaternion-enhanced attention network for visual dance generation
The study of music-generated dance is a novel and challenging image generation task. It aims to input a piece of music and seed motions, then generate natural dance movements for the subsequent music. Transfor...
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Article
ISOD: improved small object detection based on extended scale feature pyramid network
Rapid and accurate target detection is one of the inevitable requirements of intelligent construction site. To meet the speed requirements and improve detection accuracy, an improved small object detection (IS...
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Article
CS-VITON: a realistic virtual try-on network based on clothing region alignment and SPM
Image-based virtual try-on involves generating an image of a person wearing a given clothing. Existing virtual try-on works suffer from the problem of misaligned regions between the predicted segmentation map ...
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Article
Multi-scale aggregation feature pyramid with cornerness for underwater object detection
Underwater object detection is a fascinating but challengeable subject in computer vision. Features are difficult to extract due to the color cast and blur of underwater images. Moreover, given the small scale...
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Article
A point cloud self-learning network based on contrastive learning for classification and segmentation
In the field of point cloud representation learning, many self-supervised learning methods aim to address the issue of conventional supervised learning methods relying heavily on labeled data. Particularly in ...
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Chapter and Conference Paper
DSQA-LLM: Domain-Specific Intelligent Question Answering Based on Large Language Model
Question Answering (QA) is crucial for humans to access vast knowledge bases, but there is a lack of attention towards representing raw, unstructured questions and answers in specific fields. Additionally, the...
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Chapter and Conference Paper
Overlap** Fingerprint Segmentation and Separation Based on Deep Learning
This study focuses on the application of semantic segmentation to address the challenge of overlap** fingerprint images with noisy backgrounds. Our approach involves excluding non-fingerprint regions and emp...
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Chapter and Conference Paper
Fingerprint Image Enhancement Method Based on U-Net Model
Fingerprint image enhancement is a vital image processing technology that finds applications in fingerprint identification, matching, and biometric authentication. Its objective is to improve the performance a...
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Article
Dual-attention U-Net and multi-convolution network for single-image rain removal
Images taken on rainy days have rain streaks of varying degrees of intensity, which seriously affect the visibility of the background scene. Aiming at the above problems, we propose a rain mark removal algorit...
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Article
Dtsr: detail-enhanced transformer for image super-resolution
Recently, Transformer has achieved remarkable success in image super-resolution (SR). However, most existing methods adopt the window-based self-attention to balance performance and computational overhead, whi...
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Article
Redundant same sequence point cloud registration
Many point cloud registration methods rely on establishing correspondence pairs in order to solve the registration problem. However, their performance significantly deteriorates when the given point clouds con...
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Article
FFANet: dual attention-based flow field-aware network for wall identification
Deep learning-based approaches for understanding and analyzing 3D flow field grids have been extensively studied in recent years due to their importance in exploring the physical mechanisms of flow fields. How...
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Article
A method of smoothing laser spot deformation
Spot size is an important parameter in laser-quality detection. However, the size of the spot is easily affected by environmental factors such as light. In this paper, we propose improved Kalman filter algorit...
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Article
Open AccessNeural 3D reconstruction from sparse views using geometric priors
Sparse view 3D reconstruction has attracted increasing attention with the development of neural implicit 3D representation. Existing methods usually only make use of 2D views, requiring a dense set of input vi...
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Article
CTUNet: automatic pancreas segmentation using a channel-wise transformer and 3D U-Net
Diabetes, pancreatic cancer, and pancreatitis are all diseases of the pancreas, which seriously threaten people’s lives. The pancreas has a special anatomical structure, its size, shape, and position are varia...
