Z
Zeng-Guang Hou
Researcher at Chinese Academy of Sciences
Publications - 269
Citations - 3557
Zeng-Guang Hou is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Artificial neural network & Mobile robot. The author has an hindex of 26, co-authored 269 publications receiving 2940 citations. Previous affiliations of Zeng-Guang Hou include Center for Excellence in Education & Institute for Infocomm Research Singapore.
Papers
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Proceedings ArticleDOI
Structure-Constrained Obstacles Recognition for Power Transmission Line Inspection Robot
TL;DR: A novel and fast visual obstacle recognition algorithm is designed based on the structure of the 220 KV power transmission line and can contribute to the process of the mobile robot negotiating obstacles.
Posted Content
Robust Medical Instrument Segmentation Challenge 2019.
Tobias Roß,Annika Reinke,Peter M. Full,Martin Wagner,Hannes Kenngott,Martin Apitz,Hellena Hempe,Diana Mindroc Filimon,Patrick Scholz,Thuy Nuong Tran,Pierangela Bruno,Pablo Arbeláez,Gui-Bin Bian,Sebastian Bodenstedt,Jon Lindström Bolmgren,Laura Bravo Sánchez,Hua-Bin Chen,Cristina González,Dong Guo,Pål Halvorsen,Pheng-Ann Heng,Enes Hosgor,Zeng-Guang Hou,Fabian Isensee,Debesh Jha,Tingting Jiang,Yueming Jin,Kadir Kirtac,Sabrina Kletz,Stefan Leger,Zhixuan Li,Klaus H. Maier-Hein,Zhen-Liang Ni,Michael Riegler,Klaus Schoeffmann,Ruohua Shi,Stefanie Speidel,Michael Stenzel,Isabell Twick,Guotai Wang,Jiacheng Wang,Liansheng Wang,Lu Wang,Yujie Zhang,Yan-Jie Zhou,Lei Zhu,Manuel Wiesenfarth,Annette Kopp-Schneider,Beat P. Müller-Stich,Lena Maier-Hein +49 more
TL;DR: The results confirm the initial hypothesis, namely that algorithm performance degrades with an increasing domain gap, and suggest that future research should concentrate on detection and segmentation of small, crossing, moving and transparent instrument(s) (parts).
Journal ArticleDOI
Neural Units with Higher-Order Synaptic Operations for Robotic Image Processing Applications
TL;DR: Simulation results show that the proposed neural units with higher-order synaptic operations are efficient for image processing and routing applications of mobile robots.
Journal ArticleDOI
Evolved neural network ensemble by multiple heterogeneous swarm intelligence
Zeng-Shun Zhao,Xiang Feng,Yan-yan Lin,Fang Wei,Shi-Ku Wang,Tong-Lu Xiao,Maoyong Cao,Zeng-Guang Hou +7 more
TL;DR: This paper combines NNE and multi-population swarm intelligence to construct the improved neural network ensemble (INNE), and demonstrates that the proposed novel INNE algorithm is superior to existing popular NNE in function prediction.
Journal ArticleDOI
Letters: Gabor face recognition by multi-channel classifier fusion of supervised kernel manifold learning
TL;DR: A face recognition framework under the multi-channel fusion strategy for Gabor wavelet endows the algorithm in a similar way as the human visual system, to represent face features, and the manifold learning is applied to model the nonlinear labeled intrinsic structure.