Learning Geometric Invariance Features and Discrimination Representation for Image Classification via Spatial Transform Network and XGBoost Modeling. - Liye Mei; Xiaopeng Guo; Wang Yin (IEEA, 2018)

Yes, "Attention Is All You Need", for Exemplar based Colorization. - Wang Yin; Peng Lu; Zhaoran Zhao; Xujun Peng (ACM Multimedia, 2021)

Enhance Image Style Transfer with Depth Spatial Modulation. - Yang Peng; Peng Lu; Wang Yin (IC-NIDC, 2023)

RLSCNet: A Residual Line-Shaped Convolutional Network for Vanishing Point Detection. - Wei Wang; Peng Lu; Xujun Peng; Wang Yin; Zhaoran Zhao (MMM (2), 2023)

PV-YOLO: Lightweight YOLO for Photovoltaic Panel Fault Detection. - Wang Yin; Shen Lingxin; Li Maohuan; Sun Qianlai; Li Xiaosong (IEEE Access, 2023)

COLORFLOW: A Conditional Normalizing Flow for Image Colorization. - Wang Yin; Peng Lu; Xujun Peng (ICASSP, 2024)

SpatialcoGCN: deconvolution and spatial information-aware simulation of spatial transcriptomics data via deep graph co-embedding. - Wang Yin; You Wan; Yuan Zhou (Briefings Bioinform., 2024)

Automatic quantitative intelligent assessment of neonatal general movements with video tracking. - Xinrui Huang; Chunling Huang; Wang Yin; Hesong Huang; Zhuoheng Xie; Yuchuan Huang; Meining Chen; Xinyue Fan; Xiaoteng Shang; Zeyu Peng; You Wan; Tongyan Han; et al. (Displays, 2024)

A self-supervised spatio-temporal attention network for video-based 3D infant pose estimation. - Wang Yin; Linxi Chen; Xinrui Huang; Chunling Huang; Zhaohong Wang; Yang Bian; You Wan; Yuan Zhou 018; Tongyan Han; Ming Yi (Medical Image Anal., 2024)