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Bryan Catanzaro
Also published under:B. Catanzaro
Affiliation
NVIDIA
Topic
Speech Synthesis,Image Synthesis,Input Image,3D Mesh,3D Reconstruction,3D Representation,Acoustic Features,Attention Mechanism,Audio Quality,Autoregressive Model,Convolutional Layers,Convolutional Neural Network,Deep Neural Network,Feature Maps,Generative Adversarial Networks,Image Dataset,Image Reconstruction,Latent Code,Loss Function,Mean Opinion Score,Mesh Representation,Multi-view Images,Objective Evaluation,Qualitative Results,Reconstruction Loss,Single Image,Speech Recognition,Subjective Evaluation,Synthetic Images,Target Language,Texture Map,Texture Model,Video Dataset,2D Gaussian,3D Geometry,3D Model Reconstruction,3D Prediction,3D Reconstruction Network,3D Texture,Accuracy Of Model,Accurate Estimation,Action Recognition,Activation Maps,Adaptive Problem,Additional Splitting,Adversarial Training,Affine Transformation,Alignment Loss,Annotation Efforts,Appearance Features,
Biography
Bryan Catanzaro is VP of Applied Deep Learning Research with NVIDIA. He leads a team that researches in new ways to use deep learning for VLSI and computing system design, computer graphics, natural language understanding, and speech. Catanzaro received the Ph.D. degree in electrical engineering and computer sciences from the University of California, Berkeley. He is a member of IEEE and ACM. Contact him at [email protected].