Deep Learning Computer Vision

Presentations

• A neural network can hear the shape of a drum

  ORAL

  March 16, 2022, 3:00 PM – March 16, 2022, 3:12 PM

  Presenters

  • Yueqi Zhao

    • UC San Diego
    • University of California, San Diego

  Authors

  • Yueqi Zhao

    • UC San Diego
    • University of California, San Diego

  • Michael M Fogler

    • University of California, San Diego

  View abstract →

• Deepfake Video Detection Using Biologically Inspired Geometric Deep Learning

  ORAL

  March 16, 2022, 3:12 PM – March 16, 2022, 3:24 PM

  Presenters

  • Jansen Wong

    • Great Neck South High School

  Authors

  • Steven Luo

    • Evergreen Valley High School

  • Jansen Wong

    • Great Neck South High School

  • Yash Agarwal

    • Dougherty Valley High School

  • Aayush Sheth

    • Tesla STEM High School

  • Krish Jain

    • Redmond High School

  • Eric Zhu

    • Princeton High School

  • Eric Guan

    • North Carolina School of Science and Mathematics

  • Nilesh Chaturvedi

    • Department of Applied Mathematics and Statistics, Stony Brook University

  • Pawel Polak

    • Department of Applied Mathematics and Statistics, Stony Brook University

  View abstract →

• Unsupervised Machine Learning for Spatio-Temporal Characterization of Nanoscale Phenomena Imaged via Ultrafast Electron Microscopy

  ORAL

  March 16, 2022, 3:24 PM – March 16, 2022, 3:36 PM

  Presenters

  • Thomas E Gage

    • Argonne National Laboratory

  Authors

  • Faran Zhou

    • Argonne National Laboratory

  • Thomas E Gage

    • Argonne National Laboratory

  • Haihua Liu

    • Argonne National Laboratory

  • Ilke Arslan

    • Argonne National Laboratory

  • Haidan Wen

    • Argonne National Laboratory

  • Maria K Chan

    • Argonne National Laboratory

  View abstract →

• Semantic Segmentation for Analysis of Melting of Nanoscale Ice via Fully Convolutional Neural Networks

  ORAL

  March 16, 2022, 3:36 PM – March 16, 2022, 3:48 PM

  Presenters

  • Arun Baskaran

    • Argonne National Laboratory

  Authors

  • Arun Baskaran

    • Argonne National Laboratory

  • Yulin Lin

    • Argonne National Laboratory

  • Jianguo Wen

    • Argonne National Laboratory

  • Maria K Chan

    • Argonne National Laboratory

  View abstract →

• One Visualization is Worth 1000 Words: Toward Automated Data Recovery and Interpretation from Past 3D Visualizations

  ORAL

  March 16, 2022, 3:48 PM – March 16, 2022, 4:00 PM

  Publication: This work builds on Brandt, L.E. and Freeman, W.T. (2021) Toward Automatic Interpretation of 3D Plots.

  Presenters

  • Laura E Brandt

    • MIT CSAIL

  Authors

  • Laura E Brandt

    • MIT CSAIL

  • William T Freeman

    • MIT CSAIL, NSF IAIFI

  View abstract →

• Lithium Metal Battery Characterization using X-ray Imaging and Machine Learning

  ORAL

  March 16, 2022, 4:00 PM – March 16, 2022, 4:12 PM

  Publication: [1] Noack, Zwart, Ushizima, Fukuto, Yager, Elbert, Murray, Stein, Doerk, Tsai, Li, Freychet, Zhernenkov, Holman, Lee, Chen, Rotenberg, Weber, Le Goc, Boehm, Steffens, Mutti, Sethian, "Gaussian Processes for Autonomous Data Acquisition at Large-Scale X-Ray and Neutron Scattering Facilities", Nature Reviews Physics, 2021.
  [2] Ushizima, McCormick, Parkinson, "Accelerating Microstructural Analytics with Dask for Volumetric X-ray Imaging", PyHPC, 9th Workshop on Python for High-Performance and Scientific Computing, Supercomputing Nov 2020.
  [3] Ushizima and Noack, Gaussian Processes and Deep Learning for Experimental Data, Machine Learning and Data in Polymer Physics II, APS March Meeting 2021.
  [4] Siqueira, Ushizima, van der Walt, Large-scale segmentation using fully convolutional neural networks, https://arxiv.org/pdf/2101.04823.pdf.

  Presenters

  • Daniela Ushizima

    • Lawrence Berkeley National Laboratory, UC Berkeley, UC San Francisco

  Authors

  • Daniela Ushizima

    • Lawrence Berkeley National Laboratory, UC Berkeley, UC San Francisco

  • Ying Huang

    • National Fuel Cell Research Center, UC Irvine

  • Jerome Quenum

    • UC Berkeley, Lawrence Berkeley National Laboratory

  • David Perlmutter

    • Lawrence Berkeley National Laboratory

  • Dilworth Parkinson

    • Lawrence Berkeley National Laboratory

  • Iryna Zenyuk

    • National Fuel Cell Research Center, UC Irvine

  View abstract →