A Low-Power 65/14nm Stacked CMOS Image Sensor-Reference-Cited by-同舟云学术

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A Low-Power 65/14nm Stacked CMOS Image Sensor

Published:2020-10 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE International Symposium on Circuits and Systems (ISCAS)
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Author:

Kwon Minho,Lim Seunghyun,Lee Hyeokjong,Ha Il-Seon,Kim Moo-Young,Seo Il-Jin,Lee Suho,Choi Yongsuk,Kim Kyunghoon,Lee Hansoo,Kim Won-Woong,Park Seonghye,Koh Kyongmin,Lee Jesuk,Park Yongin

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9179985/9180369/09180435.pdf?arnumber=9180435

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. BlissCam: Boosting Eye Tracking Efficiency with Learned In-Sensor Sparse Sampling;2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA);2024-06-29

3. Invited Paper: Learned In-Sensor Visual Computing: From Compression to Eventification;2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD);2023-10-28

4. Load Reduction and Adaptive Pull-Up Strategies for Time Delay Reduction in High-Resolution AER Sensors;2023 IEEE International Symposium on Circuits and Systems (ISCAS);2023-05-21

5. An Extended Method to Analyze Boron Diffusion Defects in 16 nm Node High-Voltage FinFETs;2023 35th International Conference on Microelectronic Test Structure (ICMTS);2023-03-27

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