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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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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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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...
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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...
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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...
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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...
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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...
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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...
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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 ...
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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...