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    Chapter and Conference Paper

    SG-Net: Semantic Guided Network for Image Dehazing

    From traditional handcrafted priors to learning-based neural networks, image dehazing technique has gone through great development. In this paper, we propose an end-to-end Semantic Guided Network (SG-Net (Code...

    Tao Hong, **angyang Guo, Zeren Zhang, **wen Ma in Computer Vision – ACCV 2022 (2023)

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    Chapter and Conference Paper

    SMPG: Adaptive Soft Update for Masked MADDPG

    In multi-agent systems, deep reinforcement learning policy gradient algorithms can converge excessively slowly or even fail to converge if the agent size as well as the state information quickly grows. We cons...

    Yu Zhang, Shijia Zhou, Ning Guo, Tengfei Li, Xuechao Zou in Data Mining and Big Data (2022)

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    Chapter and Conference Paper

    A Non-autoregressive Decoding Model Based on Joint Classification for 3D Human Pose Regression

    Recently, the graph convolution networks (GCN) has been widely applied in 3D human pose regression and has showed encouraging performance. One limitation of this method is that it only models the semantic corr...

    Yuhang Guo, Dongmei Fu, Tao Yang in Pattern Recognition and Computer Vision (2021)

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    Chapter and Conference Paper

    Targeted Attack for Deep Hashing Based Retrieval

    The deep hashing based retrieval method is widely adopted in large-scale image and video retrieval. However, there is little investigation on its security. In this paper, we propose a novel method, dubbed deep...

    Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo in Computer Vision – ECCV 2020 (2020)