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    Camouflaged object detection based on context-aware and boundary refinement

    Camouflaged Object Detection (COD) has been increasingly studied and the detection performance has been greatly improved based on deep learning models in recent years. However, the context and boundary informa...

    Caijuan Shi, Bijuan Ren, Houru Chen, Lin Zhao, Chunyu Lin, Yao Zhao in Applied Intelligence (2023)

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    Attention-based context aggregation network for monocular depth estimation

    Depth estimation is a traditional computer vision task, which plays a crucial role in understanding 3D scene geometry. Recently, algorithms that combine the multi-scale features extracted by the dilated convol...

    Yuru Chen, Haitao Zhao, Zhengwei Hu in International Journal of Machine Learning … (2021)

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    Fuzzy Control Under Time-Varying Universe and Phase Optimization in Traffic Lights (ICSSE 2020)

    As the pace of life accelerates, people are troubled by spending too much time on commuting, and people’s waiting time for travel can be reduced by reasonable strategy of traffic control. Previous research on ...

    Cang Zhou, Hong Mo, **uru Chen, Huan Wen in International Journal of Fuzzy Systems (2021)

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    Discrete convolutional CRF networks for depth estimation from monocular infrared images

    Predicting the depth of a scene from monocular infrared images, which plays a crucial role in understanding three-dimensional structures, is one of the challenging tasks in machine learning and computer vision...

    Qianqian Wang, Haitao Zhao, Zhengwei Hu in International Journal of Machine Learning … (2021)