Ang Cao

Affiliation

Department of Electrical and Computer Engineering, University of Michigan, Ann Arbor, MI, USA

Topic

3D Scene,Audio Interface,Camera Pose,Change Detection,Deconvolution,Deep Neural Network,Depth Estimation,Depthwise Convolution,Energy Efficiency,Explicit Representation,Feature Maps,Neural Engineering,Point Cloud,Single Image,Sound Processor,View Direction,View Synthesis,3D Geometry,3D Mesh,3D Representation,3D Volume,Ablation,Alignment Strategy,Back Projection,Bilinear Interpolation,Complete 3D,Complex Motion,Convolutional Layers,Convolutional Neural Network,Coordinate System,Decoding,Deformation Field,Depth Camera,Depth Of Use,Diffusion Model,Dynamic 3D,Dynamic Power,Dynamic Power Consumption,Dynamic Scenes,Edge Length,Elegant Solution,Energy Consumption,Extensive Ablation,Face Detection,Feature Points,Flat Floor,Forward Warping,Frames Per Second,Fully-connected Layer,Generative Adversarial Networks,

Biography

Ang Cao (Member, IEEE) received the B.S. degree in electronics engineering from Wuhan University (WHU), Wuhan, China, in 2018, and the master’s degree in electrical and computer engineering from the University of Michigan, Ann Arbor, MI, USA, in 2020, where he is currently pursuing the Ph.D. degree in computer science and engineering.
Mr. Cao received the Rollin M. Gerstacker Foundation Fellowships in 2020.