Frank L.Lewis(Life Fellow,IEEE)received the Ph.D.degree from the Georgia Institute of Technology.He is currently a member of the National Academy of Inventors and the Moncrief-O'Donnell Chair with The University o...Frank L.Lewis(Life Fellow,IEEE)received the Ph.D.degree from the Georgia Institute of Technology.He is currently a member of the National Academy of Inventors and the Moncrief-O'Donnell Chair with The University of Texas at Arlington Research Institute.He is the author of seven U.S.patents,numerous journal special issues and journal articles,and 20 books.展开更多
Frank L.Lewis(Life Fellow,IEEE)received the Ph.D.degree from the Georgia Institute of Technology.He iscurrently a member of the National Academy of Inventorsand the Moncrief-O'Donnell Chair with The University ofT...Frank L.Lewis(Life Fellow,IEEE)received the Ph.D.degree from the Georgia Institute of Technology.He iscurrently a member of the National Academy of Inventorsand the Moncrief-O'Donnell Chair with The University ofTexas at Arlington Research Institute.He is the author ofseven U.s.patents,numerous journal special issues andjournal articles,and 20 books.展开更多
Frank L.Lewis (Life Fellow,IEEE) received the Ph.D.degree from the Georgia Institute of Technology.He is currently a member of the National Academy of Inventors and the Moncrief-O'Donnell Chair with The University...Frank L.Lewis (Life Fellow,IEEE) received the Ph.D.degree from the Georgia Institute of Technology.He is currently a member of the National Academy of Inventors and the Moncrief-O'Donnell Chair with The University of Texas at Arlington Research Institute.He is the author of seven U.S.patents,numerous journal special issues and journal articles,and 20 books.He received the Fulbright Research Award,the NSF Research Initiation Grant,the ASEE Terman Award,the International Neural Network Society Gabor Award,the U.K.Institute of Measurement and Control Honeywell Field Engineering Medal,the IEEE Computational Intelligence Society Neural Networks Pioneer Award,the AIAA Intelligent Systems Award,and the AACC Ragazzini Award.展开更多
近日,索贝媒体智能实验室在国际计算机图形学和可视化期刊——IEEE Transactions on Visualization and Computer Graphics (TVCG)成功发表了在该领域的最新研究成果《UPST-NeRF:Universal Photorealistic Style Transfer of Neural Rad...近日,索贝媒体智能实验室在国际计算机图形学和可视化期刊——IEEE Transactions on Visualization and Computer Graphics (TVCG)成功发表了在该领域的最新研究成果《UPST-NeRF:Universal Photorealistic Style Transfer of Neural Radiance Fields for 3D Scene》(《3D场景神经辐射场的通用真实感风格迁移》),其不仅为学术界带来了新的研究视角,也为解决3D场景的逼真风格化缺陷和从不同视角渲染视频的一致性问题提供了可实现的工程路径。展开更多
文摘Frank L.Lewis(Life Fellow,IEEE)received the Ph.D.degree from the Georgia Institute of Technology.He is currently a member of the National Academy of Inventors and the Moncrief-O'Donnell Chair with The University of Texas at Arlington Research Institute.He is the author of seven U.S.patents,numerous journal special issues and journal articles,and 20 books.
文摘Frank L.Lewis(Life Fellow,IEEE)received the Ph.D.degree from the Georgia Institute of Technology.He iscurrently a member of the National Academy of Inventorsand the Moncrief-O'Donnell Chair with The University ofTexas at Arlington Research Institute.He is the author ofseven U.s.patents,numerous journal special issues andjournal articles,and 20 books.
文摘Frank L.Lewis (Life Fellow,IEEE) received the Ph.D.degree from the Georgia Institute of Technology.He is currently a member of the National Academy of Inventors and the Moncrief-O'Donnell Chair with The University of Texas at Arlington Research Institute.He is the author of seven U.S.patents,numerous journal special issues and journal articles,and 20 books.He received the Fulbright Research Award,the NSF Research Initiation Grant,the ASEE Terman Award,the International Neural Network Society Gabor Award,the U.K.Institute of Measurement and Control Honeywell Field Engineering Medal,the IEEE Computational Intelligence Society Neural Networks Pioneer Award,the AIAA Intelligent Systems Award,and the AACC Ragazzini Award.
文摘近日,索贝媒体智能实验室在国际计算机图形学和可视化期刊——IEEE Transactions on Visualization and Computer Graphics (TVCG)成功发表了在该领域的最新研究成果《UPST-NeRF:Universal Photorealistic Style Transfer of Neural Radiance Fields for 3D Scene》(《3D场景神经辐射场的通用真实感风格迁移》),其不仅为学术界带来了新的研究视角,也为解决3D场景的逼真风格化缺陷和从不同视角渲染视频的一致性问题提供了可实现的工程路径。
