Talks in the ‘MBC Symposium: Deep Learning’ Category

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• Recent Talks

  • Protected: Professor Federico Capasso (Harvard School of Engineering and Applied Science): “Flat Optics Unifies Semiconductor and Optical Technology: From Metalenses to Cameras and Smart Sensors” (06/12/2022)
  • Protected: Professor Susana Marcos (University of Rochester, New York):Ophthalmic imaging: from Optical bench to the eye care clinic (06/12/2022)
  • Protected: Professor Chrysanthe Preza (University of Memphis):”Engineering microscopes using computational imaging” (05/19/2022)
  • Protected: Professor Guillermo Sapiro (Duke University): “Computational Behavioral Coding for Developmental Disorders” (05/18/2022)
  • Protected: Professor Liang Gao (UCLA): “Ultrafast light field tomography” (05/08/2022)
  • Protected: Hao Li (Pinscreen, UC Berkeley): “AI Synthesis for the Metaverse: From avatars to 3D scenes “ (04/20/2022)
  • Protected: Matthew Tancik (UC Berkeley): “3D Asset Generation using Neural Radiance Fields” (04/13/2022)
  • Protected: Professor Michael Brown (York University, Canada): “Rethinking the Camera Pipeline to Improve Photographic and Scientific Applications” (04/06/2022)
  • Protected: Dr. Marc Levoy (Stanford, Adobe): “Computational photography at the point of capture on mobile cameras” (04/03/2022)
  • Protected: Dr. Yifan Wang (Stanford): “Neuralize” geometry processing pipeline (03/17/2022)

• Topics

  3D augmented reality brain brain imaging camera CLB CNI CNS Cognitive Neuroscience computational imaging computer vision computing deep-learning digital imaging fMRI image sensor ipython law learning light field imaging machine learning MBC medical imaging medical technology memory microscopy MRI MR Methods neural circuitry neural coding neural computation neural network Neuroscience photography podcast programming psychology python retina scien social psychology statistics tutorial virtual reality vision

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