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  1. No Access

    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)

  3. No Access

    Chapter and Conference Paper

    Eventually-Consistent Replicated Relations and Updatable Views

    Distributed systems have to live with weak consistency, such as eventual consistency, if high availability is the primary goal and network partitioning is unexceptional. Local-first applications are examples o...

    Joachim Thomassen, Weihai Yu in New Trends in Database and Information Systems (2023)

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    Chapter and Conference Paper

    Capturing the Lighting Inconsistency for Deepfake Detection

    The rapid development and widely spread of deepfake techniques have raised severe societal concerns. Thus detecting such forgery contents has become a hot research topic. Many deepfake detection methods have b...

    Wenxuan Wu, Wenbo Zhou, Weiming Zhang, Han Fang in Artificial Intelligence and Security (2022)

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    Chapter and Conference Paper

    Elastic Deep Learning Using Knowledge Distillation with Heterogeneous Computing Resources

    In deep neural networks, using more layers and parameters generally improves the accuracy of the models, which get bigger. Such big models have high computational complexity and big memory requirements, which ...

    Daxiang Dong, Ji Liu, ** Wang, Weibao Gong in Euro-Par 2021: Parallel Processing Worksho… (2022)

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    Chapter and Conference Paper

    Noise Simulation-Based Deep Optical Watermarking

    Digital watermarking is an important branch of information hiding, which effectively guarantees the robustness of embedded watermarks in distorted channels. To embed the watermark into the host carrier, tradit...

    Feng Wang, Hang Zhou, Han Fang, Weiming Zhang in Artificial Intelligence and Security (2022)

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    Chapter and Conference Paper

    Supporting Undo and Redo for Replicated Registers in Collaborative Applications

    A collaborative application supporting eventual consistency may temporarily violate global invariant. Users may make mistakes. Undo and redo are a generic tool to restore global invariant and correct mistakes....

    Eric Brattli, Weihai Yu in Cooperative Design, Visualization, and Engineering (2021)

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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

    Augmenting SQLite for Local-First Software

    Local-first software aims at both the ability to work offline on local data and the ability to collaborate across multiple devices. CRDTs (conflict-free replicated data types) are abstractions for offline and ...

    Iver Toft Tomter, Weihai Yu in New Trends in Database and Information Systems (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)

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    Chapter and Conference Paper

    Research on Cloud Computing Based on Deep Analysis to Typical Platforms

    Cloud Computing, as a long-term dream of turning the computation to a public utility, has the potential to make IT industry great changed: making software more charming as a service and changing the way hardwa...

    Tianze **a, Zheng Li, Nenghai Yu in Cloud Computing (2009)

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    Chapter and Conference Paper

    APFA: Asynchronous Parallel Finite Automaton for Deep Packet Inspection in Cloud Computing

    Security in cloud computing is getting more and more important recently. Besides passive defense such as encryption, it is necessary to implement real-time active monitoring, detection and defense in the cloud...

    Yang Li, Zheng Li, Nenghai Yu, Ke Ma in Cloud Computing (2009)