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  1. No Access

    Chapter and Conference Paper

    TopFormer: Topology-Aware Transformer for Point Cloud Registration

    The extraction of robust feature descriptors is crucial for achieving accurate point cloud registration. While the attention mechanism plays an important role in enabling sparse point features to learn global ...

    Sheldon Fung, Wei Pan, **ao Liu, John Yearwood in Computational Visual Media (2024)

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    Chapter and Conference Paper

    Anatomical Landmarks Localization for 3D Foot Point Clouds

    3D anatomical landmarks play an important role in health research. Their automated prediction/localization thus becomes a vital task. In this paper, we introduce a deformation method for 3D anatomical landmark...

    Sheldon Fung, Xuequan Lu, Mantas Mykolaitis, Imran Razzak in Neural Information Processing (2023)

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    Chapter and Conference Paper

    CAMG: Context-Aware Moment Graph Network for Multimodal Temporal Activity Localization via Language

    Temporal Activity Localization via Language (TALL) is a challenging task for language based video understanding, especially when a video contains multiple moments of interest and the language query has words d...

    Yuelin Hu, Yuanwu Xu, Yuejie Zhang, Rui Feng in Natural Language Processing and Chinese Co… (2023)

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    Chapter and Conference Paper

    A Differential Privacy Mechanism for Deceiving Cyber Attacks in IoT Networks

    Protecting Internet of Things (IoT) network from private data breach is a grand challenge. Data breach may occur when networks’ statistical information is disclosed due to network scanning or data stored on th...

    Guizhen Yang, Mengmeng Ge, Shang Gao, Xuequan Lu in Network and System Security (2022)

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    Chapter and Conference Paper

    A Cascaded Approach for Keyframes Extraction from Videos

    Keyframes extraction, a fundamental problem in video processing and analysis, has remained a challenge to date. In this paper, we introduce a novel method to effectively extract keyframes of a video. It consis...

    Yunhua Pei, Zhiyi Huang, Wenjie Yu, Meili Wang in Computer Animation and Social Agents (2020)

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    Chapter and Conference Paper

    Deep Detection for Face Manipulation

    It has become increasingly challenging to distinguish real faces from their visually realistic fake counterparts, due to the great advances of deep learning based face manipulation techniques in recent years. ...

    Disheng Feng, Xuequan Lu, Xufeng Lin in Neural Information Processing (2020)

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    Chapter and Conference Paper

    Deep Patch-Based Human Segmentation

    3D human segmentation has seen noticeable progress in recent years. It, however, still remains a challenge to date. In this paper, we introduce a deep patch-based method for 3D human segmentation. We first ext...

    Dongbo Zhang, Zheng Fang, Xuequan Lu, Hong Qin in Neural Information Processing (2020)

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    Chapter and Conference Paper

    Tag-Based Semantic Features for Scene Image Classification

    The existing image feature extraction methods are primarily based on the content and structure information of images, and rarely consider the contextual semantic information. Regarding some types of images suc...

    Chiranjibi Sitaula, Yong **ang, Anish Basnet, Sunil Aryal in Neural Information Processing (2019)

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    Chapter and Conference Paper

    Unsupervised Deep Features for Privacy Image Classification

    Sharing images online poses security threats to a wide range of users due to the unawareness of privacy information. Deep features have been demonstrated to be a powerful representation for images. However, d...

    Chiranjibi Sitaula, Yong **ang, Sunil Aryal, Xuequan Lu in Image and Video Technology (2019)