His main research concerns Artificial intelligence, Computer vision, Topology optimization, Actuator and Pattern recognition. His Artificial intelligence study incorporates themes from Dynamic programming and Facade. His work deals with themes such as Real tree and Geometric shape, which intersect with Computer vision.
His Topology optimization research incorporates themes from Harmonic and Control theory, Sensitivity. The concepts of his Pattern recognition study are interwoven with issues in Interval tree, Computer-generated imagery and Robustness. His Stereopsis research includes themes of Level of detail, Interpolation, Graphics processing unit and Benchmark.
Artificial intelligence, Computer vision, Algorithm, Pattern recognition and Topology optimization are his primary areas of study. His work in Segmentation, Rendering, Point cloud, Deep learning and Pixel is related to Artificial intelligence. His biological study spans a wide range of topics, including Point, Curvature, Principal curvature and Normal.
His Computer vision study frequently involves adjacent topics like Visualization. His Algorithm research incorporates elements of Surface, Mathematical optimization, Kernel and Computer graphics. His Topology optimization study combines topics in areas such as Optimal design, Control theory and Topology.
Xiaopeng Zhang focuses on Artificial intelligence, Pattern recognition, Computer vision, Deep learning and Algorithm. The Artificial intelligence study combines topics in areas such as Point and Graph. His Pattern recognition study integrates concerns from other disciplines, such as Construct, Task and Stroke.
His study deals with a combination of Computer vision and Stage. His Deep learning study which covers Polygon mesh that intersects with Vertex, Computational science, Function, Computation and Upsampling. His studies in Algorithm integrate themes in fields like Optical flow, Rewriting, Compact space and Markov chain.
His primary areas of investigation include Artificial intelligence, Deep learning, Pattern recognition, Solid modeling and Depth map. Xiaopeng Zhang performs integrative study on Artificial intelligence and Detector in his works. His research integrates issues of Algorithm and Point in his study of Deep learning.
His study in the fields of Discriminative model under the domain of Pattern recognition overlaps with other disciplines such as Dirichlet's energy. His Solid modeling research incorporates elements of Data mining and Iterative reconstruction. In his study, Computer vision is inextricably linked to Procedural modeling, which falls within the broad field of Iterative reconstruction.
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On building an accurate stereo matching system on graphics hardware
Xing Mei;Xun Sun;Mingcai Zhou;Shaohui Jiao.
international conference on computer vision (2011)
Plant Growth Modelling and Applications: The Increasing Importance of Plant Architecture in Growth Models
Thierry Fourcaud;Xiao Peng Zhang;Alexia Stokes;Hans Lambers.
Annals of Botany (2007)
Optimized image resizing using seam carving and scaling
Weiming Dong;Ning Zhou;Jean-Claude Paul;Xiaopeng Zhang.
international conference on computer graphics and interactive techniques (2009)
Segment-Tree Based Cost Aggregation for Stereo Matching
Xing Mei;Xun Sun;Weiming Dong;Haitao Wang.
computer vision and pattern recognition (2013)
On topology optimization of damping layer in shell structures under harmonic excitations
Zhan Kang;Xiaopeng Zhang;Shigang Jiang;Gengdong Cheng.
Structural and Multidisciplinary Optimization (2012)
Higher FKBP5, COMT, CHRNA5, and CRHR1 allele burdens are associated with PTSD and interact with trauma exposure: implications for neuropsychiatric research and treatment.
Joseph A Boscarino;Porat M Erlich;Stuart N Hoffman;Xiaopeng Zhang.
Neuropsychiatric Disease and Treatment (2012)
Robust Rooftop Extraction From Visible Band Images Using Higher Order CRF
Er Li;John Femiani;Shibiao Xu;Xiaopeng Zhang.
IEEE Transactions on Geoscience and Remote Sensing (2015)
Long-term effects of fertilization on soil organic carbon changes in continuous corn of northeast China: RothC model simulations.
X.M. Yang;X.P. Zhang;H.J. Fang;P. Zhu.
Environmental Management (2003)
Simple Reconstruction of Tree Branches from a Single Range Image
Zhang-Lin Cheng;Xiao-Peng Zhang;Bao-Quan Chen.
Journal of Computer Science and Technology (2007)
Dynamic topology optimization of piezoelectric structures with active control for reducing transient response
Xiaopeng Zhang;Zhan Kang.
Computer Methods in Applied Mechanics and Engineering (2014)
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