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    Chapter and Conference Paper

    Revisiting TENT for Test-Time Adaption Semantic Segmentation and Classification Head Adjustment

    Test-time adaption is very effective at solving the domain shift problem where the training data and testing data are sampled from different domains. However, most test-time adaption methods made their success...

    Xuanpu Zhao, Qi Chu, Changtao Miao, Bin Liu, Nenghai Yu in Image and Graphics (2023)

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    Chapter and Conference Paper

    Enhancing Adversarial Transferability from the Perspective of Input Loss Landscape

    The transferability of adversarial examples enables the black-box attacks and poses a threat to the application of deep neural networks in real-world, which has attracted great attention in recent years. Regar...

    Yinhu Xu, Qi Chu, Haojie Yuan, Zixiang Luo, Bin Liu, Nenghai Yu in Image and Graphics (2023)

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    Chapter and Conference Paper

    HTCN: Harmonious Text Colorization Network for Visual-Textual Presentation Design

    The selection of text color is a time-consuming and important aspect in the designing of visual-textual presentation layout. In this paper, we propose a novel deep neural network architecture for predicting te...

    Xuyong Yang, **aobin Xu, Yaohong Huang in Pattern Recognition and Computer Vision (2021)

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    Chapter and Conference Paper

    Talking Face Video Generation with Editable Expression

    In rencent years, the convolutional neural network have been proved to be a great success in generating talking face. Existing methods have combined a single face image with speech to generate talking face vid...

    Luchuan Song, Bin Liu, Nenghai Yu in Image and Graphics (2021)

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    Chapter and Conference Paper

    Towards More Powerful Multi-column Convolutional Network for Crowd Counting

    Scale variation has always been one of the most challenging problems for crowd counting. By using multi-column convolutions with different receptive fields to deal with different scales in the scene, the multi...

    Jiabin Zhang, Qi Chu, Weihai Li, Bin Liu, Weiming Zhang, Nenghai Yu in Image and Graphics (2021)

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    Chapter and Conference Paper

    Stereo Visual SLAM Using Bag of Point and Line Word Pairs

    The traditional point-based SLAM algorithm performs poorly due to light changing, low-texture and highly similar scenes, while line segment features can better describe the structural information of the enviro...

    Wei Zhao, Kun Qian, Zhewen Ma, Xudong Ma, Hai Yu in Intelligent Robotics and Applications (2019)