23 Result(s)
-
Chapter and Conference Paper
Synchronization in Two Uncoupled Chaotic Neurons
Using the membrane potential of a chaotic neuron as stimulation signal to synchronize two uncoupled Hindmarsh-Rose (HR) neurons under different initial conditions is discussed. Modulating the corresponding par...
-
Chapter and Conference Paper
Wavelet Transform Based Gaussian Point Spread Function Estimation
Point spread function (PSF) estimation, an essential part for image restoration, has no accurate estimation algorithm at present. Based on the wavelet theory, a new Gaussian PSF accurate estimation algorithm i...
-
Chapter and Conference Paper
Constructing Interface Schemas for Search Interfaces of Web Databases
Many databases have become Web-accessible through form-based search interfaces (i.e., search forms) that allow users to specify complex and precise queries to access the underlying databases. In general, such ...
-
Chapter and Conference Paper
Querying Capability Modeling and Construction of Deep Web Sources
Information in a deep Web source can be accessed through queries submitted on its query interface. Many Web applications need to interact with the query interfaces of deep Web sources such as deep Web crawling...
-
Chapter and Conference Paper
Histogram of Oriented Normal Vectors for Object Recognition with a Depth Sensor
We propose a feature, the Histogram of Oriented Normal Vectors (HONV), designed specifically to capture local geometric characteristics for object recognition with a depth sensor. Through our derivation, the nor...
-
Chapter and Conference Paper
OMEG: Oulu Multi-Pose Eye Gaze Dataset
Data is in a very important position for pattern recognition tasks including eye gaze estimation. In the literature, most researchers used normal face datasets, which are not specifically designed for eye gaze...
-
Chapter and Conference Paper
Function-Guided Energy-Precision Optimization with Precision-Rate-Complexity Bivariate Models
In an intelligent wireless vision sensor network, an intra encoder is used for the energy-precision optimization with two control parameters: sampling ratio and quantization parameter, which have a direct impa...
-
Chapter and Conference Paper
Facial Expression Recognition Based on Group Domain Random Frame Extraction
Modeling the dynamic variation of facial expression from a sequence of images is a key issue in facial expression recognition. However, the analysis of complete sequence temporal information requires significa...
-
Article
Cascading classifier with discriminative multi-features for a specific 3D object real-time detection
Real-time specific 3D object detection plays an important role in intelligent service robots and intelligent surveillance fields. Compared to most existing approaches, which use simple template-matching method...
-
Article
An enhanced siamese angular softmax network with dual joint-attention for person re-identification
For person re-identification (re-ID), a core problem is how to learn discriminative feature representations of pedestrians. In this paper, we propose a novel enhanced siamese angular softmax network (ES-ASnet)...
-
Article
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...
-
Article
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...
-
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...
-
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...
-
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...
-
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...
-
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...
-
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 ...
-
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...
-
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...
