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CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds


Dec 31, 2020
Yiming Zeng, Yue Qian, Zhiyu Zhu, Junhui Hou, Hui Yuan, Ying He


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ParaNet: Deep Regular Representation for 3D Point Clouds


Dec 05, 2020
Qijian Zhang, Junhui Hou, Yue Qian, Juyong Zhang, Ying He


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Deep Magnification-Arbitrary Upsampling over 3D Point Clouds


Nov 25, 2020
Yue Qian, Junhui Hou, Sam Kwong, Ying He

* 12 pages, 10 figures 

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Deep Patch-based Human Segmentation


Jul 11, 2020
Dongbo Zhang, Zheng Fang, Xuequan Lu, Hong Qin, Antonio Robles-Kelly, Chao Zhang, Ying He

* submitted for review 

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MOPS-Net: A Matrix Optimization-driven Network forTask-Oriented 3D Point Cloud Downsampling


May 12, 2020
Yue Qian, Junhui Hou, Yiming Zeng, Qijian Zhang, Sam Kwong, Ying He

* 12 pages, 11 figures, 7 tables 

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PUGeo-Net: A Geometry-centric Network for 3D Point Cloud Upsampling


Mar 07, 2020
Yue Qian, Junhui Hou, Sam Kwong, Ying He

* 17 pages, 10 figures 

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STD-Net: Structure-preserving and Topology-adaptive Deformation Network for 3D Reconstruction from a Single Image


Mar 07, 2020
Aihua Mao, Canglan Dai, Lin Gao, Ying He, Yong-jin Liu

* 14 pages,5 figures 

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Spotting Macro- and Micro-expression Intervals in Long Video Sequences


Feb 05, 2020
Ying He, Su-Jing Wang, Jingting Li, Moi Hoon Yap

* 7 pages, 4 figures and 3 tables 

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Kernel-Free Image Deblurring with a Pair of Blurred/Noisy Images


Mar 27, 2019
Chunzhi Gu, Xuequan Lu, Ying He, Chao Zhang


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