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  1. No Access

    Chapter and Conference Paper

    Face Recognition Using Neighborhood Preserving Projections

    Subspace learning is one of the main directions for face recognition. In this paper, a novel unsupervised subspace learning method, Neighborhood Preserving Projections (NPP), is proposed. In contrast to tradition...

    Yanwei Pang, Nenghai Yu, Houqiang Li in Advances in Multimedia Information Process… (2005)

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    Chapter and Conference Paper

    A Novel Gabor-LDA Based Face Recognition Method

    In this paper, a novel face recognition method based on Gabor-wavelet and linear discriminant analysis (LDA) is proposed. Given training face images, discriminant vectors are computed using LDA. The function o...

    Yanwei Pang, Lei Zhang, Ming**g Li in Advances in Multimedia Information Process… (2005)

  3. No Access

    Chapter and Conference Paper

    Image Search Reranking with Semi-supervised LPP and Ranking SVM

    Learning to rank is one of the most popular ranking methods used in image retrieval and search reranking. However, the high-dimension of the visual features usually causes the problem of “curse of dimensionali...

    Zhong Ji, Yanru Yu, Yuting Su, Yanwei Pang in Advances in Multimedia Modeling (2013)

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    Chapter and Conference Paper

    Weighted Deformable Part Model for Robust Human Detection

    Due to human pose articulation, variation in human shapes and appearances, especially occlusion between human and objects, one challenging problem in human detection is detect partially or completely occluded ...

    Tianshuo Li, Yanwei Pang, **g Pan, Changshu Liu in Intelligent Computing Theory (2014)

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    Chapter and Conference Paper

    Frequency Domain Directional Filtering Based Rain Streaks Removal from a Single Color Image

    Bad weather conditions, such as rain or snow, degrade outdoor vision system performance. Rain removal from a single image has been investigated extensively. However, existing built rain streak models are great...

    Changbo Liu, Yanwei Pang, Jian Wang, Ai** Yang, **g Pan in Intelligent Computing Theory (2014)

  6. Chapter and Conference Paper

    Interactive Head 3D Reconstruction Based Combine of Key Points and Voxel

    In the 3D reconstruction of the head, we can extract a large number of key points from the face, but not enough key points from the hair. The 3D reconstruction method based key points do well in the facial rec...

    Yanwei Pang, Kun Li, **g Pan, Yuqing He, Changshu Liu in Image and Graphics (2015)

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    Chapter and Conference Paper

    Marginal Fisher Regression Classification for Face Recognition

    This paper presents a novel marginal Fisher regression classification (MFRC) method by incorporating the ideas of marginal Fisher analysis (MFA) and linear regression classification (LRC). The MFRC aims at minimi...

    Zhong Ji, Yunlong Yu, Yanwei Pang in Advances in Multimedia Information Process… (2015)

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    Chapter and Conference Paper

    Enhancement for Dust-Sand Storm Images

    A novel dust-sand storm image enhancement scheme is proposed. The input degraded color image is first convert into CIELAB color space. Then two chromatic components (a* and b*) are combined to perform color cast ...

    Jian Wang, Yanwei Pang, Yuqing He, Changshu Liu in MultiMedia Modeling (2016)

  9. Chapter and Conference Paper

    ECG Waveform Extraction from Paper Records

    Electrocardiogram (ECG) is one of the most practiced methods to detect any abnormalities in human heart function. ECG waveforms are usually recorded as paper form. However, ECG paper records are inconvenient f...

    Jian Wang, Yanwei Pang, Yuqing He, **g Pan in Image and Graphics (2017)

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    Chapter and Conference Paper

    SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation

    Single-stage instance segmentation approaches have recently gained popularity due to their speed and simplicity, but are still lagging behind in accuracy, compared to two-stage methods. We propose a fast singl...

    Jiale Cao, Rao Muhammad Anwer, Hisham Cholakkal in Computer Vision – ECCV 2020 (2020)