His primary areas of study are Artificial intelligence, Computer vision, Algorithm, Computer graphics and Interpolation. Artificial intelligence and Pattern recognition are commonly linked in his work. Hujun Bao interconnects Iterative method and Deformation in the investigation of issues within Computer vision.
His Algorithm study integrates concerns from other disciplines, such as Basis, Precomputed Radiance Transfer, Solver, Mathematical optimization and Texture mapping. His studies in Computer graphics integrate themes in fields like 3d model, Material transfer and Graphics processing unit. His Interpolation research is multidisciplinary, incorporating elements of Global illumination, Rendering and Bilinear interpolation.
His primary scientific interests are in Artificial intelligence, Computer vision, Algorithm, Computer graphics and Rendering. Hujun Bao regularly links together related areas like Pattern recognition in his Artificial intelligence studies. His research combines Computer graphics and Computer vision.
The study incorporates disciplines such as Polygon mesh, Interpolation, Surface and Solver, Mathematical optimization in addition to Algorithm. His Polygon mesh research includes elements of Mesh generation, Laplacian smoothing, Texture mapping and Topology. Hujun Bao has included themes like Tiled rendering and Software rendering in his Rendering study.
Artificial intelligence, Computer vision, Pattern recognition, Robustness and Pixel are his primary areas of study. His study in Image, Pose, Object, Artificial neural network and Representation is carried out as part of his studies in Artificial intelligence. Hujun Bao works mostly in the field of Computer vision, limiting it down to topics relating to Expression and, in certain cases, Skinning, Construct, Polygon mesh and Animation.
His Pattern recognition research includes themes of Differentiable function, Convolution, Similarity and Structure. As a part of the same scientific family, Hujun Bao mostly works in the field of Robustness, focusing on Inference and, on occasion, Source code, Visualization, Digitization and Stereopsis. His work carried out in the field of Pixel brings together such families of science as Epipolar geometry and Pipeline.
Hujun Bao mostly deals with Artificial intelligence, Computer vision, Robustness, Artificial neural network and Algorithm. Many of his studies involve connections with topics such as Pattern recognition and Artificial intelligence. His work focuses on many connections between Computer vision and other disciplines, such as Expression, that overlap with his field of interest in Skinning, Polygon mesh, Representation and Construct.
Hujun Bao focuses mostly in the field of Robustness, narrowing it down to matters related to Pixel and, in some cases, Point and Shooting range. His study in Artificial neural network is interdisciplinary in nature, drawing from both Feature extraction, Inference, Audio signal and Source code. His Algorithm study combines topics in areas such as Global illumination, Rendering, Lidar, Lidar data and Normal.
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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)
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)
PVNet: Pixel-Wise Voting Network for 6DoF Pose Estimation
Sida Peng;Yuan Liu;Qixing Huang;Xiaowei Zhou.
computer vision and pattern recognition (2019)
Consistent Depth Maps Recovery from a Video Sequence
Guofeng Zhang;Jiaya Jia;Tien-Tsin Wong;Hujun Bao.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2009)
Subspace gradient domain mesh deformation
Jin Huang;Xiaohan Shi;Xinguo Liu;Kun Zhou.
international conference on computer graphics and interactive techniques (2006)
Robust monocular SLAM in dynamic environments
Wei Tan;Haomin Liu;Zilong Dong;Guofeng Zhang.
international symposium on mixed and augmented reality (2013)
Laplacian Regularized Gaussian Mixture Model for Data Clustering
Xiaofei He;Deng Cai;Yuanlong Shao;Hujun Bao.
IEEE Transactions on Knowledge and Data Engineering (2011)
Locality preserving nonnegative matrix factorization
Deng Cai;Xiaofei He;Xuanhui Wang;Hujun Bao.
international joint conference on artificial intelligence (2009)
Real-time voxelization for complex polygonal models
Zhao Dong;Wei Chen;Hujun Bao;Hongxin Zhang.
pacific conference on computer graphics and applications (2004)
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