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Locality-Sensitive Deconvolution Networks with Gated Fusion for RGB-D Indoor Semantic Segmentation.

, , , , и . CVPR, стр. 1475-1483. IEEE Computer Society, (2017)

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Yanhua Bao

Yanhua Zhao

Yanhua Li

Yanhua Mao

Cheng-Yung Cheng

 

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Semi-supervised Learning for RGB-D Object Recognition., , , и . ICPR, стр. 2377-2382. IEEE Computer Society, (2014)On Using Lyapunov Function to Design Optimal Controller for AQM Routers Supporting TCP Flows, , , , и . стр. 1435-1444. (2005)Corrigendum to "MAPNet: Multi-modal attentive pooling network for RGB-D indoor scene classification" Pattern Recognition 90 (2019) 436-449., , , , и . Pattern Recognit., (2019)Rapid Planning Method for Robot Assited Minimally Invasive Surgery., , , , и . LSMS/ICSEE, том 6330 из Lecture Notes in Computer Science, стр. 532-540. Springer, (2010)Semi-Supervised Multimodal Deep Learning for RGB-D Object Recognition., , , , , и . IJCAI, стр. 3345-3351. IJCAI/AAAI Press, (2016)Convolutional Fisher Kernels for RGB-D Object Recognition., , , и . 3DV, стр. 135-143. IEEE Computer Society, (2015)3D Object Retrieval with Multimodal Views., , , , , , , , , и 20 other автор(ы). 3DOR@Eurographics, стр. 129-136. Eurographics Association, (2015)DF2Net: Discriminative Feature Learning and Fusion Network for RGB-D Indoor Scene Classification., , , , и . AAAI, стр. 7041-7048. AAAI Press, (2018)Semantics-guided multi-level RGB-D feature fusion for indoor semantic segmentation., , , , и . ICIP, стр. 1262-1266. IEEE, (2017)MeshStereo: A Global Stereo Model with Mesh Alignment Regularization for View Interpolation., , , , , и . ICCV, стр. 2057-2065. IEEE Computer Society, (2015)