9 Result(s)
within
Conference Paper
Kewei Yang
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Chapter and Conference Paper
ARE-CAM: An Interpretable Approach to Quantitatively Evaluating the Adversarial Robustness of Deep Models Based on CAM
Evaluating the adversarial robustness of deep models is critical for training more robust models. However, few methods are both interpretable and quantifiable. Interpretable evaluation methods cannot quantify ...
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Chapter and Conference Paper
Factors Analysis on Affecting the Sales Volume of K-Pack in Smartfood
Maximizing corporate profitability is one of the goals of managers. Sales plays an important role in the development of a company, as it suggests its performance and success. Based on SMARTFOOD’s low-carbohydr...
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Chapter and Conference Paper
A Novel Investment Strategy for Mixed Asset Allocation Based on Entropy-Based Time Series Prediction
In recent years, the combinational investment of gold and Bitcoin has become a hot spot, and it is expected to achieve a balance between risk aversion and maximum income. Some existing methods lack of timeline...
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Chapter and Conference Paper
\(\text {Face2Face}^\rho \) : Real-Time High-Resolution One-Shot Face Reenactment
Existing one-shot face reenactment methods either present obvious artifacts in large pose transformations, or cannot well-preserve the identity information in the source images, or fail to meet the requirement...
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Chapter and Conference Paper
Image Stylization for Thread Art via Color Quantization and Sparse Modeling
We present an image stylization method to simulate a graceful Chinese art—Random-needle Embroidery designated as Intangible Cultural Heritage. We first develop an effective way to simulate a single thread, and...
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Chapter and Conference Paper
Stitch-Based Image Stylization for Thread Art Using Sparse Modeling
Random-needle Embroidery (RNE) is a graceful Chinese Embroidery art enrolled in the World Intangible Heritage. In this paper, we propose a rendering method to translate a reference image into an art image with...
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Chapter and Conference Paper
Online User Modeling for Interactive Streaming Image Classification
Regarding of the explosive growth of personal images, this paper proposes an online user modeling method for the categorization of the streaming images. In the proposed framework, user interaction is brought i...
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Chapter and Conference Paper
Unsupervised Multiple Object Cosegmentation via Ensemble MIML Learning
Multiple foreground cosegmentation (MFC) has being a new research topic recently in computer vision. This paper proposes a framework of unsupervised multiple object cosegmentation, which is composed of three c...
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Chapter and Conference Paper
Progressive Image Segmentation Using Online Learning
This article proposed a progressive image segmentation, which allow users to segment images according to their preferences without any boring pre-labeling or training stages. We use an online learning method t...
