Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Kyeongryeol Bong"'
Autor:
Hyunsung Kim, Sungyeob Yoo, Jaewan Bae, Kyeongryeol Bong, Yoonho Boo, Karim Charfi, Hyo-Eun Kim, Hyun Suk Kim, Jinseok Kim, Byungjae Lee, Jaehwan Lee, Myeongbo Shim, Sungho Shin, Jeong Seok Woo, Joo-Young Kim, Sunghyun Park, Jinwook Oh
Publikováno v:
2022 IEEE Hot Chips 34 Symposium (HCS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::183c0f357c57eac0186032b27874ee09
https://doi.org/10.1109/hcs55958.2022.9895619
https://doi.org/10.1109/hcs55958.2022.9895619
Publikováno v:
IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 8:873-883
A low-power scalable 3-D face frontalization processor is proposed for accurate face recognition in mobile devices. In spite of recent improvement in face recognition accuracy mainly from convolutional neural networks (CNNs), their performance is lim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24ecda57278b69769386a9d9d8d57b15
https://doi.org/10.1109/jetcas.2018.2845663
https://doi.org/10.1109/jetcas.2018.2845663
Publikováno v:
IEEE Journal of Solid-State Circuits. 53:115-123
A Low-power convolutional neural network (CNN)-based face recognition system is proposed for the user authentication in smart devices. The system consists of two chips: an always-on CMOS image sensor (CIS)-based face detector (FD) and a low-power CNN
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7da2fe95971478872ddc2712ceb3e8a4
https://doi.org/10.1109/jssc.2017.2767705
https://doi.org/10.1109/jssc.2017.2767705
Publikováno v:
IEEE Micro. 37:30-38
The authors propose a low-power convolutional neural network (CNN)-based face recognition system for user authentication in smart devices. The system comprises two chips: an always-on functional CMOS image sensor (CIS) for imaging and face detection
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4d8784f20c8304cc822c72442f7e2e7
https://doi.org/10.1109/mm.2017.4241350
https://doi.org/10.1109/mm.2017.4241350
Autor:
Hoi-Jun Yoo, Kyoung-Rog Lee, Jihee Lee, Jaeeun Jang, Gyeonghoon Kim, Kyuho Jason Lee, Changhyeon Kim, Kyeongryeol Bong
Publikováno v:
IEEE Journal of Solid-State Circuits. 52:139-150
The advanced driver assistance system (ADAS) for adaptive cruise control and collision avoidance is strongly dependent upon the robust image recognition technology such as lane detection, vehicle/pedestrian detection, and traffic sign recognition. Ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67f9fadffa817561fec21c1bd3ce5468
https://doi.org/10.1109/jssc.2016.2617317
https://doi.org/10.1109/jssc.2016.2617317
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 63:2180-2188
A low-latency and low-power stereo matching accelerator is monolithically integrated with a CMOS image sensor (CIS) for mobile applications. To reduce the overall latency, focal-plane processing is adopted by using the proposed analog census transfor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f6968aa5f8bac2284ce1495a207a6d9
https://doi.org/10.1109/tcsi.2016.2619718
https://doi.org/10.1109/tcsi.2016.2619718
Publikováno v:
IEEE Journal of Solid-State Circuits. 51:1032-1040
A CMOS image sensor (CIS)-based gaze estimation processor (GEP) is proposed for the next-generation user interface (UI) of the smart glasses. It integrates a functional CIS, a RISC, and an ellipse fitting engine (EFE) on a single chip to reduce the p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::031646573c293c4c5ab2039a3e73a088
https://doi.org/10.1109/jssc.2015.2504466
https://doi.org/10.1109/jssc.2015.2504466
Autor:
Youchang Kim, Seong-Wook Park, Dongjoo Shin, Kyuho Jason Lee, Injoon Hong, Kyeongryeol Bong, Hoi-Jun Yoo
Publikováno v:
IEEE Journal of Solid-State Circuits. 51:45-55
A low-power object recognition (OR) system with intuitive gaze user interface (UI) is proposed for battery-powered smart glasses. For low-power gaze UI, we propose a low-power single-chip gaze estimation sensor, called gaze image sensor (GIS). In GIS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74d1a25c7bd6ab9ddacbf7e2dcc55a1b
https://doi.org/10.1109/jssc.2015.2476786
https://doi.org/10.1109/jssc.2015.2476786
Autor:
Kyuho Jason Lee, Seong-Wook Park, Jinwook Oh, Youchang Kim, Kyeongryeol Bong, Dongjoo Shin, Injoon Hong, Sungpill Choi, Hoi-Jun Yoo, Gyeonghoon Kim
Publikováno v:
ISSCC
Augmented reality (AR) is being investigated in advanced displays for the augmentation of images in a real-world environment. Wearable systems, such as head-mounted display (HMD) systems, have attempted to support real-time AR as a next generation UI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf5e0052a321efc4a1b63558b261a737
https://doi.org/10.1109/jssc.2014.2352303
https://doi.org/10.1109/jssc.2014.2352303
Publikováno v:
SoCC
A tile-based semi-global matching (SGM) processor with lossless data compression is proposed. The 8×8 tile-base processing and the P2-less data compression can reduce the external memory access by 85% without any change in the processing result. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05361ab7e936b3eca5e602c89c529286
https://doi.org/10.1109/socc.2017.8225998
https://doi.org/10.1109/socc.2017.8225998