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Resistance-Time Co-Modulated PointNet for Temporal Super-Resolution Simulation of Blood Vessel Flows


Nov 19, 2021
Zhizheng Jiang, Fei Gao, Renshu Gu, Jinlan Xu, Gang Xu, Timon Rabczuk


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LASOR: Learning Accurate 3D Human Pose and Shape Via Synthetic Occlusion-Aware Data and Neural Mesh Rendering


Aug 01, 2021
Kaibing Yang, Renshu Gu, Masahiro Toyoura, Gang Xu


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Salient Objects in Clutter


May 07, 2021
Deng-Ping Fan, Jing Zhang, Gang Xu, Ming-Ming Cheng, Ling Shao

* 348 references, 22 pages, survey 201 models, benchmark 100 models. Online benchmark: http://dpfan.net/SOCBenchmark 

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Temporal Modulation Network for Controllable Space-Time Video Super-Resolution


Apr 30, 2021
Gang Xu, Jun Xu, Zhen Li, Liang Wang, Xing Sun, Ming-Ming Cheng

* This paper is accepted at IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021 

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Image-based Textile Decoding


Jan 02, 2021
Siqiang Chen, Masahiro Toyoura, Takamasa Terada, Xiaoyang Mao, Gang Xu

* Integrated Computer-Aided Engineering, Pre-press, pp. 1-14, 2020 

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Learnability and Robustness of Shallow Neural Networks Learned With a Performance-Driven BP and a Variant PSO For Edge Decision-Making


Aug 13, 2020
Hongmei He, Mengyuan Chen, Gang Xu, Zhilong Zhu, Zhenhuan Zhu

* 36 pages, 21 figues for corresponding eps files 

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A Review on InSAR Phase Denoising


Jan 03, 2020
Gang Xu, Yandong Gao, Jinwei Li, Mengdao Xing

* Accepted by IEEE Geoscience and Remote Sensing Magazine, DOI 10.1109/MGRS.2019.2955120 

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CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation


Aug 28, 2019
Gang Xu, Zhigang Song, Zhuo Sun, Calvin Ku, Zhe Yang, Cancheng Liu, Shuhao Wang, Jianpeng Ma, Wei Xu

* 10 pages, 9 figures, accepted by ICCV 2019 

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BAGS: An automatic homework grading system using the pictures taken by smart phones


Jun 10, 2019
Xiaoshuo Li, Tiezhu Yue, Xuanping Huang, Zhe Yang, Gang Xu


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Shape-from-Mask: A Deep Learning Based Human Body Shape Reconstruction from Binary Mask Images


Jun 22, 2018
Zhongping Ji, Xiao Qi, Yigang Wang, Gang Xu, Peng Du, Qing Wu

* 11 pages 

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