446 Result(s)
within
Yi**ang Chen
English
Artificial Intelligence
Image Processing and Computer Vision
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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
Air combat maneuver decision based on deep reinforcement learning with auxiliary reward
For air combat maneuvering decision, the sparse reward during the application of deep reinforcement learning limits the exploration efficiency of the agents. To address this challenge, we propose an auxiliary ...
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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
Rapid density estimation of tiny pests from sticky traps using Qpest RCNN in conjunction with UWB-UAV-based IoT framework
Precision agriculture has long struggled with the surveillance and control of pests. Traditional methods for estimating pest density and distribution through manual reconnaissance are often time-consuming and ...
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Article
Open AccessTemporally Consistent Enhancement of Low-Light Videos via Spatial-Temporal Compatible Learning
Temporal inconsistency is the annoying artifact that has been commonly introduced in low-light video enhancement, but current methods tend to overlook the significance of utilizing both data-centric clues and ...
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Article
Position information encoding FPN for small object detection in aerial images
Small object detection in aerial images is a challenge in remote sensing. Recently, convolutional neural networks (CNNs) have succeeded by learning localized filters that embed relative spatial information but...
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Article
Learning cooperative strategies in multi-agent encirclement games with faster prey using prior knowledge
Multi-agent encirclement with collision avoidance constitutes a common challenge in the multi-agent confrontation domain, wherein the focus lies in the development of cooperative strategies among agents. Previ...
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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
Few-Shot Stereo Matching with High Domain Adaptability Based on Adaptive Recursive Network
Deep learning based stereo matching algorithms have been extensively researched in areas such as robot vision and autonomous driving due to their promising performance. However, these algorithms require a larg...
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Article
Detecting fake information with knowledge-enhanced AutoPrompt
The rapid growth of fake news on the Internet poses a challenge to accessing authentic information. Fake news detection plays a crucial role in filtering out false information and improving information accurac...
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Article
A Causal Inspired Early-Branching Structure for Domain Generalization
Learning domain-invariant semantic representations is crucial for achieving domain generalization (DG), where a model is required to perform well on unseen target domains. One critical challenge is that standa...
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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
An entity-guided text summarization framework with relational heterogeneous graph neural network
Two of the most crucial issues for text summarization to generate faithful summaries are to make use of knowledge beyond text and to make use of cross-sentence relations in text. Intuitive ways for the two iss...
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Article
Cross-domain few-shot learning based on feature adaptive distillation
Recently, few-shot learning (FSL) has exhibited remarkable performance in computer vision tasks. However, the existing FSL approaches perform poorly when facing data shortages and domain variations between the...
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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
Deep Richardson–Lucy Deconvolution for Low-Light Image Deblurring
Images taken under the low-light condition often contain blur and saturated pixels at the same time. Deblurring images with saturated pixels is quite challenging. Because of the limited dynamic range, the satu...
