Deep Learning and Computer Vision
FOCUS · S61 · ID: 381645
Presentations
-
Can (Almost) Unsupervised Artificial Intelligence Learn Chemistry and Physics from Microscopic Observations?
Invited
–
Presenters
-
Sergei Kalinin
Oak Ridge National Lab, Oak Ridge National Laboratory
Authors
-
Sergei Kalinin
Oak Ridge National Lab, Oak Ridge National Laboratory
-
-
RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior
ORAL
–
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
-
-
High throughput detection and quantification of <i>Giardia lamblia</i> cysts using holographic imaging flow-cytometry and deep learning
ORAL
–
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
-
-
Machine learning the Biot-Savart law from quantum sensor data
ORAL
–
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
-
-
Trainable Diffractive Surfaces for Spectral Encoding of Spatial Information
ORAL
–
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
-
-
Ensemble learning enhances the inference accuracy of diffractive deep neural networks
ORAL
–
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
-
-
Increased Computation Speed of Neural Network-Aided Computer Vision Via Coded Diffraction of Off-Axis Optical Vorticies
ORAL
–
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
-
-
Misalignment Insensitive Diffractive Optical Networks
ORAL
–
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
-
-
Terahertz Pulse Engineering Using Diffractive Optical Networks
ORAL
–
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
-
-
Early detection and classification of live bacteria using holography and deep learning
ORAL
–
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
-