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Deep learning-based magnetic resonance image super-resolution: a survey

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  1. Article

    Open Access

    THP: Tensor-field-driven hierarchical path planning for autonomous scene exploration with depth sensors

    It is challenging to automatically explore an unknown 3D environment with a robot only equipped with depth sensors due to the limited field of view. We introduce THP, a tensor field-based framework for efficient ...

    Yuefeng **, Chenyang Zhu, Yao Duan, Renjiao Yi, Lintao Zheng in Computational Visual Media (2024)

  2. Article

    Open Access

    Learning accurate template matching with differentiable coarse-to-fine correspondence refinement

    Template matching is a fundamental task in computer vision and has been studied for decades. It plays an essential role in manufacturing industry for estimating the poses of different parts, facilitating downs...

    Zhirui Gao, Renjiao Yi, Zheng Qin, Yunfan Ye, Chenyang Zhu in Computational Visual Media (2024)

  3. Article

    Open Access

    Would ChatGPT-facilitated programming mode impact college students’ programming behaviors, performances, and perceptions? An empirical study

    ChatGPT, an AI-based chatbot with automatic code generation abilities, has shown its promise in improving the quality of programming education by providing learners with opportunities to better understand the ...

    Dan Sun, Azzeddine Boudouaia, Chengcong Zhu in International Journal of Educational Techn… (2024)

  4. Article

    Open Access

    6DOF pose estimation of a 3D rigid object based on edge-enhanced point pair features

    The point pair feature (PPF) is widely used for 6D pose estimation. In this paper, we propose an efficient 6D pose estimation method based on the PPF framework. We introduce a well-targeted down-sampling strat...

    Chenyi Liu, Fei Chen, Lu Deng, Renjiao Yi, Lintao Zheng in Computational Visual Media (2024)

  5. Article

    Open Access

    EFECL: Feature encoding enhancement with contrastive learning for indoor 3D object detection

    Good proposal initials are critical for 3D object detection applications. However, due to the significant geometry variation of indoor scenes, incomplete and noisy proposals are inevitable in most cases. Minin...

    Yao Duan, Renjiao Yi, Yuanming Gao, Kai Xu, Chenyang Zhu in Computational Visual Media (2023)

  6. Article

    Open Access

    Government R&D spending as a driving force of technology convergence: a case study of the Advanced Sequencing Technology Program

    This study investigates the impact of government R&D spending on promoting technology convergence. We test the hypotheses that a government funding program positively affects technology convergence, and that t...

    Chen Zhu, Kazuyuki Motohashi in Scientometrics (2023)

  7. Article

    Open Access

    A practical Alzheimer’s disease classifier via brain imaging-based deep learning on 85,721 samples

    Beyond detecting brain lesions or tumors, comparatively little success has been attained in identifying brain disorders such as Alzheimer’s disease (AD), based on magnetic resonance imaging (MRI). Many machine...

    Bin Lu, Hui-**an Li, Zhi-Kai Chang, Le Li, Ning-Xuan Chen in Journal of Big Data (2022)

  8. Article

    Open Access

    ARM3D: Attention-based relation module for indoor 3D object detection

    Relation contexts have been proved to be useful for many challenging vision tasks. In the field of 3D object detection, previous methods have been taking the advantage of context encoding, graph embedding, or ...

    Yuqing Lan, Yao Duan, Chenyi Liu, Chenyang Zhu, Yueshan **ong in Computational Visual Media (2022)