Deep Learning and Computer Vision

Presentations

• Can (Almost) Unsupervised Artificial Intelligence Learn Chemistry and Physics from Microscopic Observations?

  Invited

  March 18, 2021, 11:30 AM – March 18, 2021, 12:06 PM

  Presenters

  • Sergei Kalinin

    • Oak Ridge National Lab
    • Oak Ridge National Laboratory

  Authors

  • Sergei Kalinin

    • Oak Ridge National Lab
    • Oak Ridge National Laboratory

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• RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior

  ORAL

  March 18, 2021, 12:06 PM – March 18, 2021, 12:18 PM

  Presenters

  • Hong-Ye Hu

    • University of California, San Diego

  Authors

  • Hong-Ye Hu

    • University of California, San Diego

  • Dian Wu

    • University of California, San Diego

  • Yizhuang You

    • University of California, San Diego
    • Department of Physics, University of California, San Diego

  • Bruno Olshausen

    • Berkeley AI Research, Berkeley

  • Yubei Chen

    • Berkeley AI Research, Berkeley

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• High throughput detection and quantification of <i>Giardia lamblia</i> cysts using holographic imaging flow-cytometry and deep learning

  ORAL

  March 18, 2021, 12:18 PM – March 18, 2021, 12:30 PM

  Presenters

  • Zoltan Gorocs

    • University of California, Los Angeles

  Authors

  • Zoltan Gorocs

    • University of California, Los Angeles

  • David Baum

    • University of California, Los Angeles

  • Fang Song

    • University of California, Los Angeles

  • Kevin de Haan

    • University of California, Los Angeles

  • Hatice Ceylan Koydemir

    • University of California, Los Angeles

  • Yunzhe Qui

    • University of California, Los Angeles

  • Zilin Cai

    • University of California, Los Angeles

  • Thamira Skandakumar

    • University of California, Los Angeles

  • Spencer Peterman

    • University of California, Los Angeles

  • Miu Tamamitsu

    • University of California, Los Angeles

  • Aydogan Ozcan

    • University of California, Los Angeles
    • Electrical and Computer Engineering, University of California, Los Angeles

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• Machine learning the Biot-Savart law from quantum sensor data

  ORAL

  March 18, 2021, 12:30 PM – March 18, 2021, 12:42 PM

  Presenters

  • Mark Ku

    • Physics and Astronomy & Materials Science and Engineering, University of Delaware
    • University of Delaware

  Authors

  • Mark Ku

    • Physics and Astronomy & Materials Science and Engineering, University of Delaware
    • University of Delaware

  • Matthew J Turner

    • Quantum Technology Center, University of Maryland
    • University of Maryland, College Park

  • Danyal Bhutto

    • Biomedical Engineering, Boston University

  • Bo Zhu

    • Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School and Massachusetts General Hospital

  • Matthew Rosen

    • Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School and Massachusetts General Hospital

  • Ronald L Walsworth

    • Quantum Technology Center, University of Maryland
    • University of Maryland, College Park

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• Trainable Diffractive Surfaces for Spectral Encoding of Spatial Information

  ORAL

  March 18, 2021, 12:42 PM – March 18, 2021, 12:54 PM

  Presenters

  • Jingxi Li

    • University of California, Los Angeles

  Authors

  • Jingxi Li

    • University of California, Los Angeles

  • Deniz Mengu

    • University of California, Los Angeles

  • Nezih Tolga Yardimci

    • University of California, Los Angeles
    • Electrical and Computer Engineering, University of California, Los Angeles

  • Yi Luo

    • University of California, Los Angeles

  • Xurong Li

    • University of California, Los Angeles

  • Muhammed Veli

    • University of California, Los Angeles

  • Yair Rivenson

    • University of California, Los Angeles

  • Mona Jarrahi

    • University of California, Los Angeles
    • Electrical and Computer Engineering, University of California, Los Angeles

  • Aydogan Ozcan

    • University of California, Los Angeles

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• Ensemble learning enhances the inference accuracy of diffractive deep neural networks

  ORAL

  March 18, 2021, 12:54 PM – March 18, 2021, 1:06 PM

  Presenters

  • Md Sadman Sakib Rahman

    • University of California, Los Angeles

  Authors

  • Md Sadman Sakib Rahman

    • University of California, Los Angeles

  • Jingxi Li

    • University of California, Los Angeles

  • Deniz Mengu

    • University of California, Los Angeles
    • Electrical and Computer Engineering, University of California, Los Angeles

  • Yair Rivenson

    • Electrical and Computer Engineering, University of California, Los Angeles
    • University of California, Los Angeles

  • Aydogan Ozcan

    • University of California, Los Angeles
    • Electrical and Computer Engineering, University of California, Los Angeles

  View abstract →

• Increased Computation Speed of Neural Network-Aided Computer Vision Via Coded Diffraction of Off-Axis Optical Vorticies

  ORAL

  March 18, 2021, 1:06 PM – March 18, 2021, 1:18 PM

  Presenters

  • Altai Perry

    • University of California, Riverside

  Authors

  • Altai Perry

    • University of California, Riverside

  • Baurzhan Muminov

    • University of California, Riverside

  • Luat T. Vuong

    • University of California, Riverside

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• Misalignment Insensitive Diffractive Optical Networks

  ORAL

  March 18, 2021, 1:18 PM – March 18, 2021, 1:30 PM

  Presenters

  • Deniz Mengu

    • University of California, Los Angeles
    • Electrical and Computer Engineering, University of California, Los Angeles

  Authors

  • Deniz Mengu

    • University of California, Los Angeles
    • Electrical and Computer Engineering, University of California, Los Angeles

  • Yifan Zhao

    • Electrical and Computer Engineering, University of California, Los Angeles

  • Nezih Tolga Yardimci

    • University of California, Los Angeles
    • Electrical and Computer Engineering, University of California, Los Angeles

  • Yair Rivenson

    • Electrical and Computer Engineering, University of California, Los Angeles
    • University of California, Los Angeles

  • Mona Jarrahi

    • University of California, Los Angeles
    • Electrical and Computer Engineering, University of California, Los Angeles

  • Aydogan Ozcan

    • University of California, Los Angeles
    • Electrical and Computer Engineering, University of California, Los Angeles

  View abstract →

• Terahertz Pulse Engineering Using Diffractive Optical Networks

  ORAL

  March 18, 2021, 1:30 PM – March 18, 2021, 1:42 PM

  Presenters

  • Muhammed Veli

    • University of California, Los Angeles

  Authors

  • Muhammed Veli

    • University of California, Los Angeles

  • Deniz Mengu

    • University of California, Los Angeles
    • Electrical and Computer Engineering, University of California, Los Angeles

  • Nezih Tolga Yardimci

    • University of California, Los Angeles
    • Electrical and Computer Engineering, University of California, Los Angeles

  • Yi Luo

    • University of California, Los Angeles

  • Jingxi Li

    • University of California, Los Angeles

  • Yair Rivenson

    • University of California, Los Angeles

  • Mona Jarrahi

    • University of California, Los Angeles
    • Electrical and Computer Engineering, University of California, Los Angeles

  • Aydogan Ozcan

    • University of California, Los Angeles
    • Electrical and Computer Engineering, University of California, Los Angeles

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• Early detection and classification of live bacteria using holography and deep learning

  ORAL

  March 18, 2021, 1:42 PM – March 18, 2021, 1:54 PM

  Presenters

  • Hongda Wang

    • University of California, Los Angeles

  Authors

  • Hongda Wang

    • University of California, Los Angeles

  • Hatice Ceylan Koydemir

    • University of California, Los Angeles

  • Yunzhe Qiu

    • University of California, Los Angeles

  • Bijie Bai

    • University of California, Los Angeles

  • Yibo Zhang

    • University of California, Los Angeles

  • Yiyin Jin

    • University of California, Los Angeles

  • Sabiha Tok

    • University of California, Los Angeles

  • Enis Cagatay Yilmaz

    • University of California, Los Angeles

  • Esin Gumustekin

    • University of California, Los Angeles

  • Yair Rivenson

    • University of California, Los Angeles

  • Aydogan Ozcan

    • University of California, Los Angeles
    • Electrical and Computer Engineering, University of California, Los Angeles

  View abstract →