33 Result(s)
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Article
**Hai He
Computer Science
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Article
Fast CU partition strategy based on texture and neighboring partition information for Versatile Video Coding Intra Coding
The next generation video coding standard, H.266/Versatile Video Coding (VVC), was released by the Joint Video Exploration Team (JVET) in July 2020. Unlike the previous generation standard H.265/High Efficienc...
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Semantic and geometric information propagation for oriented object detection in aerial images
Unlike the natural scenes, aerial objects are often in arbitrary orientations and surrounded by cluttered backgrounds, causing the heterogeneous object features contaminated with backgrounds and interleaved cl...
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Mixed Entropy Model Enhanced Residual Attention Network for Remote Sensing Image Compression
In recent years, deep learning has been widely employed in the field of image compression, the most significant of which is the lossy image compression method on the basis of convolutional neural networks. And...
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A viewpoint-guided prototype network for 3D shape classification
Multi-view learning methods have achieved remarkable results in 3D shape recognition. However, most of them focus on the visual feature extraction and feature aggregation, while viewpoints (spatial positions o...
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Generalized unsupervised functional map learning for dense correspondence
Inspired by deep functional map methods, we present a generalized unsupervised functional map learning approach for arbitrary 3D shape correspondence. Unlike prior methods, they either require extensive data t...
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Nonlocal-guided enhanced interaction spatial-temporal network for compressed video super-resolution
Although deep-learning based video super-resolution (VSR) studies have achieved excellent progress in recent years, the majority of them do not take into account the impact of lossy compression. A large number...
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Block-correlation-based intra prediction for VVC
The new generation video coding standard Versatile Video Coding (VVC) has been officially released. Many novel technologies were utilized to improve the coding performance. In this paper, we propose an efficient ...
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Image classification based on self-distillation
Convolutional neural networks have been widely used in various application scenarios. To extend the application to some areas where accuracy is critical, researchers have been investigating methods to improve ...
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Topological and geometrical joint learning for 3D graph data
Traditional convolutional neural networks (CNNs) are limited to be directly applied to 3D graph data due to their inherent grid structure. And most of graph-based learning methods use local-to-global hierarchi...
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A nonlocal HEVC in-loop filter using CNN-based compression noise estimation
High-efficiency video coding (HEVC) effectively reduces the amount of video data while unavoidably introducing compression noise. The in-loop filter can enhance the reconstructed frames at the encoder to preve...
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Sequential Enhancement for Compressed Video Using Deep Convolutional Generative Adversarial Network
Compression artifacts cause negative visual perception and are tough to reduce because of the balance between compressibility and fidelity. Despite extensive research on traditional methods, they take insuffic...
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A practical super-resolution method for multi-degradation remote sensing images with deep convolutional neural networks
Recent studies have proved that convolutional neural networks (CNNs) have great potential for image super-resolution (SR) tasks. However, most existing methods rely on paired high-resolution (HR) and low-resol...
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Deep Feature Fusion Network for Compressed Video Super-Resolution
The majority of conventional video super-resolution algorithms aim at reconstructing low-resolution videos after down-sampling. However, numerous low-resolution videos will be further compressed to adapt to th...
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Progressively refined scheme for wireless video sensor networks
In Wireless Video Sensor Networks (WVSNs), the performance of video coding is typically influenced by the condition of wireless channels and the limited battery energy available at the sensor nodes. In order t...
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Geometric machine learning: research and applications
Over the last decade, deep learning has revolutionized many traditional machine learning tasks, ranging from computer vision to natural language processing. Although deep learning has achieved excellent perfor...
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A video compression artifact reduction approach combined with quantization parameters estimation
High Efficiency Video Coding is one of the most widely used Video Coding standards. It could encode videos to bitstream with a high compression rate for transporting, and videos would be reconstructed by decod...
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Engineering-oriented bridge multiple-damage detection with damage integrity using modified faster region-based convolutional neural network
A bridge damage detector with preserving integrity based on modified Faster region-based convolutional neural network (R-CNN) is proposed for multiple damage types. The methodologies of dataset collection, dam...
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Cross-modal multi-relationship aware reasoning for image-text matching
Cross-modal image-text matching has attracted considerable interest in both computer vision and natural language processing communities. The main issue of image-text matching is to learn the compact cross-moda...
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UAMNer: uncertainty-aware multimodal named entity recognition in social media posts
Named Entity Recognition (NER) on social media is a challenging task, as social media posts are usually short and noisy. Recently, some work explores different ways to incorporate the visual information from t...
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A cascaded registration network RCINet with segmentation mask
Traditional deformable registration methods achieve brilliant results and show strong theoretical support but are computational intensive since they optimize each image pair’s objective function. Recently, sup...
