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Geogcn: Geometric Dual-Domain Graph Convolution Network For Point Cloud Denoising., , , , , , и . ICASSP, стр. 1-5. IEEE, (2023)Semantically Contrastive Learning for Low-Light Image Enhancement., , , , , , , и . AAAI, стр. 1555-1563. AAAI Press, (2022)UTOPIC: Uncertainty-aware Overlap Prediction Network for Partial Point Cloud Registration., , , , , , , и . CoRR, (2022)Point attention network for point cloud semantic segmentation., , , , , , и . Sci. China Inf. Sci., 65 (9): 1-14 (2022)Hyperspectral image classification on insufficient-sample and feature learning using deep neural networks: A review., , , , , , и . Int. J. Appl. Earth Obs. Geoinformation, (2021)Automatic Modeling of Urban Facades from Raw LiDAR Point Data., , , , , , и . Comput. Graph. Forum, 35 (7): 269-278 (2016)GFU-Net: A Deep Learning Approach for Automatic Metal Crack Detection., , , , и . NCAA, том 1449 из Communications in Computer and Information Science, стр. 375-388. Springer, (2021)Learning Regularizer for Monocular Depth Estimation with Adversarial Guidance., , , , , , и . ACM Multimedia, стр. 5222-5230. ACM, (2021)Convolutional neural network with median layers for denoising salt-and-pepper contaminations., , , , , и . Neurocomputing, (2021)Detecting Occluded and Dense Trees in Urban Terrestrial Views With a High-Quality Tree Detection Dataset., , , , , , и . IEEE Trans. Geosci. Remote. Sens., (2022)