15 – 20 May 2022
17 – 19 May 2022
San Jose McEnery Convention Center San Jose, California, USA
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5:00 - 5:15
Polarimetric Imaging Using One Fractal SNSPD (SM1D.1) Presenter: Nan Hu, Tianjin University
We demonstrate a polarimetric imaging system with one fractal superconducting nanowire single-photon detector and time-multiplexed photon-counting scheme, which allows us to obtain images with multiple types of contrast.Authors:Nan Hu, Tianjin University / Yun Meng, Tianjin University / Kai Zou, Tianjin University / Yifan Feng, Tianjin University / ZIfan Hao, Tianjin University / Stephan Steinhauer, Royal Institute of Technology (KTH) / Samuel Gyger, Royal Institute of Technology (KTH) / Val Zwiller, Royal Institute of Technology (KTH) / Xiaolong Hu, Tianjin University
5:15 - 5:30
Ultra-High Frequency Vibration Measurement Using Fading Suppressed Coherent φ-OTDR With Randomized Sampling (SM1D.2) Presenter: zhonghong lin, HUST
By applying randomized sampling to interference fading suppressed coherent phase-sensitive optic time domain reflectometry (φ-OTDR) system, quantitative vibration signal measurement with much higher frequency than the Nyquist sampling theorem determined upper limit was demonstrated.Authors:zhonghong lin, HUST / Zhiyong Zhao, HUST / Deming Liu, HUST / Ming Tang, HUST
5:30 - 5:45
Near-Ultraviolet Dual-Comb Spectroscopy With Photon-Counting (SM1D.4) Presenter: Bingxin Xu, Max-Planck Institute of Quantum Optics
A dual-comb interferometer using electro-optic modulators and nonlinear frequency conversion enables linear absorption spectroscopy in the 390-nm region at the single-photon level. Photon-counting instrumentation alleviates the use of high-power lasers.Authors:Bingxin Xu, Max-Planck Institute of Quantum Optics / Theodor Haensch, Max-Planck Institute of Quantum Optics / Nathalie Picqué, Max-Planck Institute of Quantum Optics
5:45 - 6:00
DCT-Cam for Single-Shot Action Recognition (SM1D.3) Presenter: Liang Yu, Department of electronic engineering
We propose a DCT-Cam to capture the video spectrum directly from the scene in a single shot, which can reduce 75% data requirement and achieve the same accuracy for the action recognition.Authors:Liang Yu, Department of electronic engineering / Honghao Huang, Department of electronic engineering / Jingwei Li, Huawei Technologies Co., Ltd / Xiaowen Dong, Huawei Technologies Co., Ltd / Minghua Chen, Department of electronic engineering / Sigang Yang, Department of electronic engineering / Hongwei Chen, Department of electronic engineering