51 Result(s)
within
**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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Chapter and Conference Paper
Unsupervised Prototype Adapter for Vision-Language Models
Recently, large-scale pre-trained vision-language models (e.g. CLIP and ALIGN) have demonstrated remarkable effectiveness in acquiring transferable visual representations. To leverage the valuable knowledge encod...
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Article
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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Article
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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Article
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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Article
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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Article
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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Article
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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Article
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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Article
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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Chapter and Conference Paper
Boosting Adversarial Transferability Through Intermediate Feature
Deep neural networks are well known to be vulnerable to adversarial samples in the white-box setting. However, as research progressed, researchers discovered that adversarial samples can perform black-box atta...
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Chapter and Conference Paper
Boosting the Robustness of Neural Networks with M-PGD
Neural networks have achieved state-of-the-art results in many fields. With further research, researchers have found that neural network models are vulnerable to adversarial examples which are carefully design...
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Article
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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Article
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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Article
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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Article
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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Article
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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Article
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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Article
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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Article
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...
