Kaizhang Kang
Kaizhang is a postdoctoral researcher at King Abdullah University of Science and Technology (KAUST), mentored by Professor Wolfgang Heidrich. He received Ph.D. degree this year from Zhejiang University, supervised by Professor Hongzhi Wu. His research focuses on the acquisition and reconstruction of physical information, including high-dimensional appearance, 3D geometry and volumes. During his Ph.D. program, he published five papers as the first author and one as the second author to top conferences and journals, such as SIGGRAPH/ SIGGRAPH Asia, ICCV and TVCG. He also received the Microsoft Asia Fellowship in 2021.
Honors & Awards
Publications
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Neural Reflectance Capture in the View-Illumination Domain
Kaizhang Kang, Minyi Gu, Cihui Xie, Xuanda Yang, Hongzhi Wu and Kun Zhou To appear in IEEE TVCG
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Free-form Scanning of Non-planar Appearance with Neural Trace Photography
Xiaohe Ma, Kaizhang Kang, Ruisheng Zhu, Hongzhi Wu and Kun Zhou ACM Trans. Graph. (Proc. SIGGRAPH 2021), 40, 4 (Aug. 2021), 124.
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Learning Efficient Photometric Feature Transform for Multi-view Stereo
Kaizhang Kang, Cihui Xie, Ruisheng Zhu, Xiaohe Ma, Ping Tan, Hongzhi Wu and Kun Zhou ICCV2021.
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Learning Efficient Illumination Multiplexing for Joint Capture of Reflectance and Shape
Kaizhang Kang, Cihui Xie, Chengan He, Mingqi Yi, Minyi Gu, Zimin Chen, Kun Zhou and Hongzhi Wu ACM Trans. Graph. (Proc. SIGGRAPH Asia 2019), 38, 6 (Nov. 2019), 165.
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Efficient Reflectance Capture Using an Autoencoder
Kaizhang Kang*, Zimin Chen*, Jiaping Wang, Kun Zhou and Hongzhi Wu ( *:Joint first authors) ACM Trans. on Graphics (Proc. SIGGRAPH 2018), 37, 4 (Aug. 2018), 127.
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Projects
get-gloved
Make low cost data glove with Raspberry Pi.