Talks in the ‘MBC Symposium: Deep Learning’ Category

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• Recent Talks

  • Protected: Liang Shi (MIT): “Learning-based 3D Computer-Generated Holography” (06/03/2021)
  • Protected: Dr. Matt Pharr (NVIDIA): ” Real-Time Ray Tracing and the Reinvention of the Graphics Pipeline” (05/27/2021)
  • Protected: Professor Michael Kudenov (NCSU): “Mantis shrimp–inspired organic photodetector for simultaneous hyperspectral and polarimetric imaging-enabling advanced single-pixel architectures” (05/27/2021)
  • Protected: Professor Eero Simoncelli (NYU): “Photographic Image Priors in the Era of Machine Learning” (05/14/2021)
  • Protected: Professor Angjoo Kanazawa (UC Berkeley): “Pushing the Boundaries of Novel View Synthesis” (05/06/2021)
  • Protected: Dr. Julien Martel (Stanford): “Neural Representations: Coordinate Based Networks for Fitting Signals, Derivatives, and Integrals” (05/05/2021)
  • Protected: Dr. Andrew (Beau) Watson (Apple): “The Chromatic Pyramid of Visibility” (04/22/2021)
  • Protected: Professor Andreas Geiger ( University of Tübingen): “Neural Implicit Representations for 3D Vision” (04/14/2021)
  • Protected: Professor Steve Seitz (University of Washington and Google): ” Slow Glass” (04/08/2021)
  • Protected: Professor Hany Farid (UC Berkeley): “Photographic Forensic Identification” (04/05/2021)

• 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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