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    Chapter and Conference Paper

    Learning Instance and Task-Aware Dynamic Kernels for Few-Shot Learning

    Learning and generalizing to novel concepts with few samples (Few-Shot Learning) is still an essential challenge to real-world applications. A principle way of achieving few-shot learning is to realize a model...

    Rongkai Ma, Pengfei Fang, Gil Avraham, Yan Zuo, Tianyu Zhu in Computer Vision – ECCV 2022 (2022)

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    Chapter and Conference Paper

    Blind Image Decomposition

    We propose and study a novel task named Blind Image Decomposition (BID), which requires separating a superimposed image into constituent underlying images in a blind setting, that is, both the source components i...

    Junlin Han, Weihao Li, Pengfei Fang, Chunyi Sun, Jie Hong in Computer Vision – ECCV 2022 (2022)

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    Chapter and Conference Paper

    Channel Recurrent Attention Networks for Video Pedestrian Retrieval

    Full attention, which generates an attention value per element of the input feature maps, has been successfully demonstrated to be beneficial in visual tasks. In this work, we propose a fully attentional netwo...

    Pengfei Fang, Pan Ji, Jieming Zhou, Lars Petersson in Computer Vision – ACCV 2020 (2021)

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    Chapter and Conference Paper

    An Objects Detection Framework in UAV Videos

    Unmanned aerial vehicles equipped with surveillance system have begun to play an increasingly important role in recent years, which has provided a wealth of valuable information for national security and defen...

    Jianjiang Lu, Pengfei Fang, Yulong Tian in Advances in Computer Science and Education… (2011)