Xin Yang 0002 - researchr alias

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Viewing Publication 1 - 20 from 20

2023

SGAMTE-Net: A pedestrian trajectory prediction network based on spatiotemporal graph attention and multimodal trajectory endpointsXin Yang 0002, Liao Bingxian, Xiangcheng Wang. apin, 53(24):31165-31180, December 2023. [doi]

VMSG: a video caption network based on multimodal semantic grouping and semantic attentionXin Yang 0002, Xiangchen Wang, Xiaohui Ye, Tao Li 0011. mms, 29(5):2575-2589, October 2023. [doi]

SCCADC-SR: a real image super-resolution based on self-calibration convolution and adaptive dense connectionXin Yang 0002, Hengrui Li, Chenhuan Wu, Tao Li 0011. mta, 82(29):45699-45716, December 2023. [doi]

IST-PTEPN: an improved pedestrian trajectory and endpoint prediction network based on spatio-temporal informationXin Yang 0002, Jiangfeng Fan, Siyuan Xing. mlc, 14(12):4193-4206, December 2023. [doi]

FADLSR: A Lightweight Super-Resolution Network Based on Feature Asymmetric DistillationXin Yang 0002, Hengrui Li, Hanying Jian, Tao Li. cssp, 42(4):2149-2168, April 2023. [doi]

Radar Object Detection Using 3D-2D Encoder-Decoder NetworkYaqi Shen, Dake Zhou, Yichao Gao, Xin Yang 0002. iscsic 2023: 146-150 [doi]

2022

NasmamSR: a fast image super-resolution network based on neural architecture search and multiple attention mechanismXin Yang 0002, Jiangfeng Fan, Chenhuan Wu, Dake Zhou, Tao Li 0011. mms, 28(1):321-334, 2022. [doi]

Fast Image Super-Resolution Based on Limit Gradient Embedding Cascaded ForestXin Yang 0002, Chenhuan Wu, Dake Zhou, Tao Li 0011. cssp, 41(4):2007-2026, 2022. [doi]

An image super-resolution network based on multi-scale convolution fusionXin Yang 0002, Yitian Zhu, Yingqing Guo, Dake Zhou. vc, 38(12):4307-4317, 2022. [doi]

Lightweight image super-resolution with feature cheap convolution and attention mechanismXin Yang 0002, Hengrui Li, Xiaochuan Li. cluster, 25(6):3977-3992, 2022. [doi]

MRDN: A lightweight Multi-stage residual distillation network for image Super-ResolutionXin Yang 0002, Yingqing Guo, Zhiqiang Li, Dake Zhou, Tao Li 0011. eswa, 204:117594, 2022. [doi]

DCU-net: a deformable convolutional neural network based on cascade U-net for retinal vessel segmentationXin Yang 0002, Zhiqiang Li, Yingqing Guo, Dake Zhou. mta, 81(11):15593-15607, 2022. [doi]

MR-UNet: An UNet model using multi-scale and residual convolutions for retinal vessel segmentationXin Yang 0002, Li Liu, Tao Li. imst, 32(5):1588-1603, 2022. [doi]

An improved anchor neighborhood regression SR method based on low-rank constraintXin Yang 0002, Li Liu, Chen Zhu, Yingqing Guo, Dake Zhou. vc, 38(2):405-418, 2022. [doi]

2021

Remote sensing image super-resolution based on convolutional blind denoising adaptive dense connectionXin Yang 0002, Tangxin Xie, Yingqing Guo, Dake Zhou. iet-ipr, 15(11):2508-2520, 2021. [doi]

An image super-resolution deep learning network based on multi-level feature extraction moduleXin Yang 0002, Yifan Zhang, Yingqing Guo, Dake Zhou. mta, 80(5):7063-7075, 2021. [doi]

Retinal vessel segmentation based on an improved deep forestXin Yang 0002, Zhiqiang Li, Yingqing Guo, Dake Zhou. imst, 31(4):1792-1802, 2021. [doi]

Image super-resolution network based on a multi-branch attention mechanismXin Yang 0002, Yingqing Guo, Zhiqiang Li, Dake Zhou. sivp, 15(7):1397-1405, 2021. [doi]

Image Super-Resolution Based on the Down-Sampling Iterative Module and Deep CNNXin Yang 0002, Yifan Zhang, Tao Li, Yingqing Guo, Dake Zhou. cssp, 40(7):3437-3455, 2021. [doi]

Image super-resolution reconstruction based on improved Dirac residual networkXin Yang 0002, Tangxin Xie, Li Liu, Dake Zhou. mssp, 32(4):1065-1082, 2021. [doi]

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