2020 - ACM Fellow For contributions to computer graphics
His main research concerns Artificial intelligence, Computer vision, Algorithm, Computer graphics and Rendering. His work on Computer vision is being expanded to include thematically relevant topics such as Radiance. His Algorithm research incorporates themes from Subspace topology, Solver and Nonlinear system.
His work carried out in the field of Computer graphics brings together such families of science as Field and Representation. His study in Rendering is interdisciplinary in nature, drawing from both Single view, Point cloud, Simulation and Parallel computing. Kun Zhou has researched Facial motion capture in several fields, including Computer facial animation and Facial expression.
His scientific interests lie mostly in Artificial intelligence, Computer vision, Computer graphics, Algorithm and Rendering. His study brings together the fields of Pattern recognition and Artificial intelligence. His Computer vision research is multidisciplinary, incorporating elements of Shading and Radiance.
His study looks at the intersection of Computer graphics and topics like Texture synthesis with Texture. His Algorithm study integrates concerns from other disciplines, such as Path tracing, Polygon mesh, Solver, Mathematical optimization and Nonlinear system. The concepts of his Rendering study are interwoven with issues in Scattering, Ray tracing and Optics.
Kun Zhou spends much of his time researching Artificial intelligence, Computer vision, Pattern recognition, Image and Artificial neural network. His biological study spans a wide range of topics, including Sketch and Graph. His work on One shot expands to the thematically related Computer vision.
His Image study combines topics from a wide range of disciplines, such as Flow, Generalization, Pose and Feature. His Artificial neural network study also includes
Kun Zhou mainly investigates Artificial intelligence, Pattern recognition, Graph, Deep learning and Segmentation. Kun Zhou interconnects Frame, Computer vision and Coupling in the investigation of issues within Artificial intelligence. His work on Texture mapping as part of general Computer vision research is frequently linked to Multiplexing, thereby connecting diverse disciplines of science.
His Pattern recognition study combines topics in areas such as Current, Generalization, Pose and Image. His work deals with themes such as Polygon mesh and Robustness, which intersect with Deep learning. His Segmentation study combines topics in areas such as Base, Point cloud, 3D reconstruction and Set.
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Mesh editing with poisson-based gradient field manipulation
Yizhou Yu;Kun Zhou;Dong Xu;Xiaohan Shi.
international conference on computer graphics and interactive techniques (2004)
FaceWarehouse: A 3D Facial Expression Database for Visual Computing
Chen Cao;Yanlin Weng;Shun Zhou;Yiying Tong.
IEEE Transactions on Visualization and Computer Graphics (2014)
Real-time KD-tree construction on graphics hardware
Kun Zhou;Qiming Hou;Rui Wang;Baining Guo.
international conference on computer graphics and interactive techniques (2008)
Locality sensitive discriminant analysis
Deng Cai;Xiaofei He;Kun Zhou;Jiawei Han.
international joint conference on artificial intelligence (2007)
Large mesh deformation using the volumetric graph Laplacian
Kun Zhou;Jin Huang;John Snyder;Xinguo Liu.
international conference on computer graphics and interactive techniques (2005)
3D shape regression for real-time facial animation
Chen Cao;Yanlin Weng;Stephen Lin;Kun Zhou.
international conference on computer graphics and interactive techniques (2013)
Displaced dynamic expression regression for real-time facial tracking and animation
Chen Cao;Qiming Hou;Kun Zhou.
international conference on computer graphics and interactive techniques (2014)
Subspace gradient domain mesh deformation
Jin Huang;Xiaohan Shi;Xinguo Liu;Kun Zhou.
international conference on computer graphics and interactive techniques (2006)
Synthesis of progressively-variant textures on arbitrary surfaces
Jingdan Zhang;Kun Zhou;Luiz Velho;Baining Guo.
international conference on computer graphics and interactive techniques (2003)
An interactive approach to semantic modeling of indoor scenes with an RGBD camera
Tianjia Shao;Weiwei Xu;Kun Zhou;Jingdong Wang.
international conference on computer graphics and interactive techniques (2012)
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