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    Chapter and Conference Paper

    Accelerating CNN Training by Pruning Activation Gradients

    Sparsification is an efficient approach to accelerate CNN inference, but it is challenging to take advantage of sparsity in training procedure because the involved gradients are dynamically changed. Actually, ...

    Xucheng Ye, Pengcheng Dai, Junyu Luo, **n Guo, Yingjie Qi in Computer Vision – ECCV 2020 (2020)

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    Article

    Scene classification-oriented saliency detection via the modularized prescription

    Saliency detection technology has been greatly developed and applied in recent years. However, the performance of current methods is not satisfactory in complex scenes. One of the reasons is that the performan...

    Chunlei Yang, Jiexin Pu, Yongsheng Dong, Guo-sen **e, Yanna Si in The Visual Computer (2019)

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    Article

    Multi-scale counting and difference representation for texture classification

    Multi-scale analysis has been widely used for constructing texture descriptors by modeling the coefficients in transformed domains. However, the resulting descriptors are not robust to the rotated textures whe...

    Yongsheng Dong, **wang Feng, Chunlei Yang, **aohong Wang in The Visual Computer (2018)

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    Article

    Salient object detection in complex scenes via D-S evidence theory based region classification

    In complex scenes, multiple objects are often concealed in cluttered backgrounds. Their saliency is difficult to be detected by using conventional methods, mainly because single color contrast can not shoulder...

    Chunlei Yang, Jiexin Pu, Yongsheng Dong, Zhonghua Liu, Lingfei Liang in The Visual Computer (2017)

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    Chapter and Conference Paper

    Slap Fingerprint Recognition for HD Mobile Phones

    This paper proposes an efficient recognition algorithm for the four finger slaps captured by HD mobile phones. Firstly, statistical histogram is used to segment the minutiae set extracted from a slap image; se...

    Yongliang Zhang, Hongtao Wu, Congmin Huang, **lei Yang in Biometric Recognition (2015)

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    Chapter and Conference Paper

    Automatic Prosodic Events Detection Using a Two-Stage SVM/CRF Sequence Classifier with Acoustic Features

    To benefit from the maximum-margin nature of SVMs and also from the ability of CRFs to model correlations between neighboring features, this paper utilizes a two-stage SVM/CRF sequence classifier to detect pro...

    Mingming Chen, Wenju Liu, Zhanlei Yang, Pengfei Hu in Pattern Recognition (2012)

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    Chapter and Conference Paper

    Latent Topic Model Based on Gaussian-LDA for Audio Retrieval

    In this paper,we introduce a new topic model named Gaussian-LDA, which is more suitable to model continuous data. Topic Model based on latent Dirichlet allocation (LDA) is widely used for the statistical analy...

    Pengfei Hu, Wenju Liu, Wei Jiang, Zhanlei Yang in Pattern Recognition (2012)

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    Chapter and Conference Paper

    Speech Fragment Decoding Techniques Using Silent Pause Detection

    Silent pause frequently occurs in spontaneous speech. When recognizing spontaneous speech, silent pause tends to degrade the performance of typical speech recognizers. This paper proposes a fragment decoding m...

    Zhanlei Yang, Wenju Liu, Wei Jiang, Pengfei Hu, Mingming Chen in Pattern Recognition (2012)

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    Chapter and Conference Paper

    Monaural Voiced Speech Separation with Multipitch Tracking

    Separating voiced speech from its mixtures with interferences in monaural condition is not only an important but also challenging task. As multipitch tracking can enable much better performance of speech separ...

    Wei Jiang, Pengfei Hu, Shan Liang, Wenju Liu, Zhanlei Yang in Pattern Recognition (2012)

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    Chapter and Conference Paper

    Efficient Large-Scale Image Data Set Exploration: Visual Concept Network and Image Summarization

    When large-scale online images come into view, it is very important to construct a framework for efficient data exploration. In this paper, we build exploration models based on two considerations: inter-concep...

    Chunlei Yang, **aoyi Feng, **ye Peng, Jian** Fan in Advances in Multimedia Modeling (2011)

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    Chapter

    Incorporate Visual Analytics to Design a Human-Centered Computing Framework for Personalized Classifier Training and Image Retrieval

    Human has always been a part of the computational loop. The goal of human-centered multimedia computing is to explicitly address human factors at all levels of multimedia computations. In this chapter, we have...

    Yuli Gao, Chunlei Yang, Yi Shen in Advances in Information and Intelligent Sy… (2009)