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Research on multi-sensor high dynamic range imaging technology and application 会议论文
First Optics Frontier Conference, Hangzhou, China, 2021-04-24
作者:  Guo, Lulu;  Yi, Hongwei
Adobe PDF(475Kb)  |  收藏  |  浏览/下载：154/0  |  提交时间：2021/07/26
high dynamic range  multi-sensor  image processing  camera  
Application of machine learning in the alignment of off-Axis optical system 会议论文
AOPC 2021: Novel Technologies and Instruments for Astronomical Multi-Band Observations, Beijing, China, 2021-06-20
作者:  Yu, Lei;  Ma, Caiwen;  Fu, Xing;  Yin, Yamei;  Cao, Mingqiang
Adobe PDF(867Kb)  |  收藏  |  浏览/下载：92/0  |  提交时间：2022/01/30
Off-axis Optical System  Alignment  Machine Learning  Neural Network  
Precise Temporal Localization for Complete Actions with Quantified Temporal Structure 会议论文
2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), ELECTR NETWORK, 2021-01-10
作者:  Lu, Chongkai;  Li, Ruimin;  Fu, Hong;  Fu, Bin;  Wang, Yihao;  Lo, Wai-Lun;  Chi, Zheru
Adobe PDF(1301Kb)  |  收藏  |  浏览/下载：114/0  |  提交时间：2021/09/03
Hardware Design of an Image Acquisition Device for Target Observation and Tracking 会议论文
IOP Conference Series: Earth and Environmental Science, Kamakura City, Japan, 2020-10-10
作者:  Bian,He;  Zhang,Haifeng;  Wang,Hua;  Huang,Jijiang
Adobe PDF(721Kb)  |  收藏  |  浏览/下载：157/1  |  提交时间：2021/03/01
Photonic microwave and RF channelizers based on Kerr micro-combs 会议论文
Terahertz, RF, Millimeter, and Submillimeter-Wave Technology and Applications XIV, Virtual, Online, United states, 2021-03-06
作者:  Tan, M.;  Xu, X.;  Wu, J;  Boes, A.;  Nguyen, T.G.;  Chu, S.T.;  Little, B.E.;  Morandotti, R.;  Mitchell, A.;  Moss, D.J.
Adobe PDF(1585Kb)  |  收藏  |  浏览/下载：144/0  |  提交时间：2021/07/12
Microwave photonic  signal channelization  integrated optical frequency comb  
Monocular depth estimation based on a single image: A literature review 会议论文
Twelfth International Conference on Graphics and Image Processing, ICGIP 2020, Xi'an, China, 2020-11-13
作者:  Tian, Yuan;  Hu, Xiaodong
Adobe PDF(487Kb)  |  收藏  |  浏览/下载：177/0  |  提交时间：2021/03/02
Depth estimation  depth cues  probabilistic graphical models  data-driven  CNN