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Jong-Cheol Lee - IEEE Xplore Author Profile

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Author details

Jong-Cheol Lee

Also published under: Jong Cheol Lee

Publications

5

Citations

14

Publications by Year

19972010

Co-Authors:

Dae-Gi BaeDongmok WhangSung Woo HwangHyun-Geun ByunIn-Yeol Lee

Show All Co-Authors (22)

Jong-Cheol Lee

Also published under: Jong Cheol Lee

Affiliation

Research Center of Time-Domain Nano-Functional Devices

Korea University

Seoul, South Korea

SKKU Advanced Institute of Nanotechnology and School of Advanced Materials Science & Engineering

Sungkyunkwan University

Suwon, South Korea

Publication Topics

Clock Cycles,
Data Rate,
External Clock,
Internal Clock,
Memory Cells,
Phase Shift,
Read Operation,
Sense Amplifier,
2D Peak,
Additional Delay,
Area Overhead,
Band Gap

Biography

Jong-Cheol Lee received the B.S. and M.S. degrees in electrical engineering from Yonsei University, Seoul, Korea, in 1996 and 1998, respectively.,He joined Samsung Electronics Company, Yong-in, Korea, in 1998 and has been working on design and test of high-speed SRAM. His work experience includes design and analysis of chip critical timing path including decoder and sense amplifier, power analysis with voltage regulators, and floorplanning of high-speed SRAM. He is currently involved in chip verification for Samsung DDR3 SRAMs.(Based on document published on 27 October 2003).

Publications

5

Citations

14

Publications by Year

19972010

Co-Authors:

Dae-Gi Bae
Dongmok Whang
Sung Woo Hwang
Hyun-Geun Byun
In-Yeol Lee

Show All Co-Authors (22)

Author's Published Works

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Showing 1-11 of 11 results

Conferences (11)

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Single Year
Xiaobing Wang(11)
Dafeng Zhang(7)
Zhenbo Luo(4)
Yingying Jiang(4)
Shuai Liu(3)
Samsung Research China - Beijing (SRC-B), Beijing, China(2)
York University(1)
Samsung R&D Institute China, Beijing(1)
Samsung Research China - Beijing (SRC-B)(1)
Beijing National Research Center for Information Science and Technology, China(1)
2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)(2)
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)(2)
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)(2)
2018 24th International Conference on Pattern Recognition (ICPR)(1)
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)(1)
IEEE(11)
Kyoto, Japan(2)
Nashville, TN, USA(2)
Vancouver, BC, Canada(2)
Beijing, China(1)
Long Beach, CA, USA(1)
Convolutional Neural Network(6)
Convolutional Layers(5)
Bounding Box(4)
Optical Character Recognition(4)
Reconstruction Module(4)

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Results

CLIP-Cluster: CLIP-Guided Attribute Hallucination for Face Clustering

Shuai Shen;Wanhua Li;Xiaobing Wang;Dafeng Zhang;Zhezhu Jin;Jie Zhou;Jiwen Lu

2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Year: 2023 | Conference Paper |

Cited by: Papers (2)

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One of the most important yet rarely studied challenges for supervised face clustering is the large intra-class variance caused by different face attributes such as age, pose, and expression. Images of the same identity but with different face attributes usually tend to be clustered into different sub-clusters. For the first time, we proposed an attribute hallucination framework named CLIP-Cluster...Show More

CLIP-Cluster: CLIP-Guided Attribute Hallucination for Face Clustering

Shuai Shen;Wanhua Li;Xiaobing Wang;Dafeng Zhang;Zhezhu Jin;Jie Zhou;Jiwen Lu

2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Year: 2023 | Conference Paper |

MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results

Yuekun Dai;Chongyi Li;Shangchen Zhou;Ruicheng Feng;Qingpeng Zhu;Qianhui Sun;Wenxiu Sun;Chen Change Loy;Jinwei Gu;Shuai Liu;Hao Wang;Chaoyu Feng;Luyang Wang;Guangqi Shao;Chenguang Zhang;Xiaotao Wang;Lei Lei;Dafeng Zhang;Xiangyu Kong;Guanqun Liu;Mengmeng Bai;Jia Ouyang;Xiaobing Wang;Jiahui Yuan;Xinpeng Li;Chengzhi Jiang;Ting Jiang;Wenjie Lin;Qi Wu;Mingyan Han;Jinting Luo;Lei Yu;Haoqiang Fan;Shuaicheng Liu;Bo Yan;Zhuang Li;Yadong Li;Hongbin Wang;Soonyong Song;Minghan Fu;Rayyan Azam Khan;Fangxiang Wu;Zhao Zhang;Suiyi Zhao;Huan Zheng;Yangcheng Gao;Yanyan Wei;Jiahuan Ren;Bo Wang;Yan Luo;Shuaibo Gao;Wenhui Wu;Sicong Kang;Nikhil Akalwadi;Ankit Raichur;Vinod Patil;Allabakash G;Swaroop A;Amogh Joshi;Chaitra Desai;Ramesh Ashok Tabib;Ujwala Patil;Uma Mudenagudi Sicheng Li;Ruoxi Zhu;Jiazheng Lian;Shusong Xu;Zihao Liu;Sabari Nathan;Priya Kansal

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2023 | Conference Paper |

Cited by: Papers (8)

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Developing and integrating advanced image sensors with novel algorithms in camera systems are prevalent with the increasing demand for computational photography and imaging on mobile platforms. However, the lack of high-quality data for research and the rare opportunity for in-depth exchange of views from industry and academia constrain the development of mobile intelligent photography and imaging...Show More

MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results

Yuekun Dai;Chongyi Li;Shangchen Zhou;Ruicheng Feng;Qingpeng Zhu;Qianhui Sun;Wenxiu Sun;Chen Change Loy;Jinwei Gu;Shuai Liu;Hao Wang;Chaoyu Feng;Luyang Wang;Guangqi Shao;Chenguang Zhang;Xiaotao Wang;Lei Lei;Dafeng Zhang;Xiangyu Kong;Guanqun Liu;Mengmeng Bai;Jia Ouyang;Xiaobing Wang;Jiahui Yuan;Xinpeng Li;Chengzhi Jiang;Ting Jiang;Wenjie Lin;Qi Wu;Mingyan Han;Jinting Luo;Lei Yu;Haoqiang Fan;Shuaicheng Liu;Bo Yan;Zhuang Li;Yadong Li;Hongbin Wang;Soonyong Song;Minghan Fu;Rayyan Azam Khan;Fangxiang Wu;Zhao Zhang;Suiyi Zhao;Huan Zheng;Yangcheng Gao;Yanyan Wei;Jiahuan Ren;Bo Wang;Yan Luo;Shuaibo Gao;Wenhui Wu;Sicong Kang;Nikhil Akalwadi;Ankit Raichur;Vinod Patil;Allabakash G;Swaroop A;Amogh Joshi;Chaitra Desai;Ramesh Ashok Tabib;Ujwala Patil;Uma Mudenagudi Sicheng Li;Ruoxi Zhu;Jiazheng Lian;Shusong Xu;Zihao Liu;Sabari Nathan;Priya Kansal

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2023 | Conference Paper |

FF-Former: Swin Fourier Transformer for Nighttime Flare Removal

Dafeng Zhang;Jia Ouyang;Guanqun Liu;Xiaobing Wang;Xiangyu Kong;Zhezhu Jin

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2023 | Conference Paper |

Cited by: Papers (4)

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In the process of removing nighttime flare, it is crucial to have a large receptive field due to the fact that flare can occupy a substantial portion of an image, even potentially the entire image. However, the conventional window-based Transformer approaches restrict the receptive field within the window, limiting its ability to capture global features. And the flare can cause the dark regions to...Show More

FF-Former: Swin Fourier Transformer for Nighttime Flare Removal

Dafeng Zhang;Jia Ouyang;Guanqun Liu;Xiaobing Wang;Xiangyu Kong;Zhezhu Jin

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2023 | Conference Paper |

MRNET: Multi-Refinement Network for Dual-Pixel Images Defocus Deblurring

Dafeng Zhang;Xiaobing Wang;Zhezhu Jin

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Year: 2023 | Conference Paper |

Cited by: Papers (1)

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Defocus blurring is an inevitable phenomenon in cameras. Though many methods have been proposed, the problem is still challenging because of their low deblurring performance and long processing time. To solve this problem, we propose an efficient Multi-Refinement Network (MRNet) for dual-pixel images defocus deblurring. The MRNet contains two core modules that are alignment module and reconstructi...Show More

MRNET: Multi-Refinement Network for Dual-Pixel Images Defocus Deblurring

Dafeng Zhang;Xiaobing Wang;Zhezhu Jin

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Year: 2023 | Conference Paper |

Dynamic Multi-Scale Network for Dual-Pixel Images Defocus Deblurring with Transformer

Dafeng Zhang;Xiaobing Wang

2022 IEEE International Conference on Multimedia and Expo (ICME)

Year: 2022 | Conference Paper |

Cited by: Papers (9)

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Recent works achieve excellent results in dual-pixel defo-cus deblurring task by using convolutional neural network (CNN), while the scarcity of data limits the exploration and attempt of vision transformer in this task. In this paper, we propose a dynamic multi-scale network, named DMT-Net, for dual-pixel images defocus deblurring. In DMTNet, the feature extraction module is composed of several v...Show More

Dynamic Multi-Scale Network for Dual-Pixel Images Defocus Deblurring with Transformer

Dafeng Zhang;Xiaobing Wang

2022 IEEE International Conference on Multimedia and Expo (ICME)

Year: 2022 | Conference Paper |

NTIRE 2021 Challenge for Defocus Deblurring Using Dual-pixel Images: Methods and Results

Abdullah Abuolaim;Radu Timofte;Michael S. Brown;Dafeng Zhang;Xiaobing Wang;Syed Waqas Zamir;Aditya Arora;Salman Khan;Munawar Hayat;Fahad Shahbaz Khan;Ling Shao;Shuai Liu;Lei Lei;Chaoyu Feng;Zhiwei Xiong;Zeyu Xiao;Ruikang Xu;Yunan Zhu;Dong Liu;Tu Vo;Si Miao;Nisarg A. Shah;Pengwei Liang;Zhiwei Zhong;Xingyu Hu;Yiqun Chen;Chenghua Li;Xiaoying Bai;Chi Zhang;Yiheng Yao;Ruipeng Gang;Sabari Nathan;Thangavelu Ragavendran;Venkatakrishnan Srinija;Venkatakrishnan Srivatsav

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2021 | Conference Paper |

Cited by: Papers (12)

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This paper provides a review of the NTIRE 2021 challenge targeting defocus deblurring using dual-pixel (DP) data. The goal of this single-track challenge was to reduce spatially varying defocus blur present in images captured with a shallow depth of field. The images used in this challenge were obtained using a DP sensor that provided a pair of DP views per captured image. Submitted solutions were...Show More

NTIRE 2021 Challenge for Defocus Deblurring Using Dual-pixel Images: Methods and Results

Abdullah Abuolaim;Radu Timofte;Michael S. Brown;Dafeng Zhang;Xiaobing Wang;Syed Waqas Zamir;Aditya Arora;Salman Khan;Munawar Hayat;Fahad Shahbaz Khan;Ling Shao;Shuai Liu;Lei Lei;Chaoyu Feng;Zhiwei Xiong;Zeyu Xiao;Ruikang Xu;Yunan Zhu;Dong Liu;Tu Vo;Si Miao;Nisarg A. Shah;Pengwei Liang;Zhiwei Zhong;Xingyu Hu;Yiqun Chen;Chenghua Li;Xiaoying Bai;Chi Zhang;Yiheng Yao;Ruipeng Gang;Sabari Nathan;Thangavelu Ragavendran;Venkatakrishnan Srinija;Venkatakrishnan Srivatsav

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2021 | Conference Paper |

NTIRE 2021 Challenge on Image Deblurring

Seungjun Nah;Sanghyun Son;Suyoung Lee;Radu Timofte;Kyoung Mu Lee;Liangyu Chen;Jie Zhang;Xin Lu;Xiaojie Chu;Chengpeng Chen;Zhiwei Xiong;Ruikang Xu;Zeyu Xiao;Jie Huang;Yueyi Zhang;Si Xi;Jia Wei;Haoran Bai;Songsheng Cheng;Hao Wei;Long Sun;Jinhui Tang;Jinshan Pan;Donghyeon Lee;Chulhee Lee;Taesung Kim;Xiaobing Wang;Dafeng Zhang;Zhihong Pan;Tianwei Lin;Wenhao Wu;Dongliang He;Baopu Li;Boyun Li;Teng Xi;Gang Zhang;Jingtuo Liu;Junyu Han;Errui Ding;Guangpin Tao;Wenqing Chu;Yun Cao;Donghao Luo;Ying Tai;Tong Lu;Chengjie Wang;Jilin Li;Feiyue Huang;Hanting Chen;Shuaijun Chen;Tianyu Guo;Yunhe Wang;Syed Waqas Zamir;Aditya Arora;Salman Khan;Munawar Hayat;Fahad Shahbaz Khan;Ling Shao;Yushen Zuo;Yimin Ou;Yuanjun Chai;Lei Shi;Shuai Liu;Lei Lei;Chaoyu Feng;Kai Zeng;Yuying Yao;Xinran Liu;Zhizhou Zhang;Huacheng Huang;Yunchen Zhang;Mingchao Jiang;Wenbin Zou;Si Miao;Yangwoo Kim;Yuejin Sun;Senyou Deng;Wenqi Ren;Xiaochun Cao;Tao Wang;Maitreya Suin;A. N. Rajagopalan;Vinh Van Duong;Thuc Huu Nguyen;Jonghoon Yim;Byeungwoo Jeon;Ru Li;Junwei Xie;Jong-Wook Han;Jun-Ho Choi;Jun-Hyuk Kim;Jong-Seok Lee;Jiaxin Zhang;Fan Peng;David Svitov;Dmitry Pakulich;Jaeyeob Kim;Jechang Jeong

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2021 | Conference Paper |

Cited by: Papers (35)

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Motion blur is a common photography artifact in dynamic environments that typically comes jointly with the other types of degradation. This paper reviews the NTIRE 2021 Challenge on Image Deblurring. In this challenge report, we describe the challenge specifics and the evaluation results from the 2 competition tracks with the proposed solutions. While both the tracks aim to recover a high-quality ...Show More

NTIRE 2021 Challenge on Image Deblurring

Seungjun Nah;Sanghyun Son;Suyoung Lee;Radu Timofte;Kyoung Mu Lee;Liangyu Chen;Jie Zhang;Xin Lu;Xiaojie Chu;Chengpeng Chen;Zhiwei Xiong;Ruikang Xu;Zeyu Xiao;Jie Huang;Yueyi Zhang;Si Xi;Jia Wei;Haoran Bai;Songsheng Cheng;Hao Wei;Long Sun;Jinhui Tang;Jinshan Pan;Donghyeon Lee;Chulhee Lee;Taesung Kim;Xiaobing Wang;Dafeng Zhang;Zhihong Pan;Tianwei Lin;Wenhao Wu;Dongliang He;Baopu Li;Boyun Li;Teng Xi;Gang Zhang;Jingtuo Liu;Junyu Han;Errui Ding;Guangpin Tao;Wenqing Chu;Yun Cao;Donghao Luo;Ying Tai;Tong Lu;Chengjie Wang;Jilin Li;Feiyue Huang;Hanting Chen;Shuaijun Chen;Tianyu Guo;Yunhe Wang;Syed Waqas Zamir;Aditya Arora;Salman Khan;Munawar Hayat;Fahad Shahbaz Khan;Ling Shao;Yushen Zuo;Yimin Ou;Yuanjun Chai;Lei Shi;Shuai Liu;Lei Lei;Chaoyu Feng;Kai Zeng;Yuying Yao;Xinran Liu;Zhizhou Zhang;Huacheng Huang;Yunchen Zhang;Mingchao Jiang;Wenbin Zou;Si Miao;Yangwoo Kim;Yuejin Sun;Senyou Deng;Wenqi Ren;Xiaochun Cao;Tao Wang;Maitreya Suin;A. N. Rajagopalan;Vinh Van Duong;Thuc Huu Nguyen;Jonghoon Yim;Byeungwoo Jeon;Ru Li;Junwei Xie;Jong-Wook Han;Jun-Ho Choi;Jun-Hyuk Kim;Jong-Seok Lee;Jiaxin Zhang;Fan Peng;David Svitov;Dmitry Pakulich;Jaeyeob Kim;Jechang Jeong

2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2021 | Conference Paper |

Arbitrary Shape Scene Text Detection With Adaptive Text Region Representation

Xiaobing Wang;Yingying Jiang;Zhenbo Luo;Cheng-Lin Liu;Hyunsoo Choi;Sungjin Kim

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Year: 2019 | Conference Paper |

Cited by: Papers (136)

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Scene text detection attracts much attention in computer vision, because it can be widely used in many applications such as real-time text translation, automatic information entry, blind person assistance, robot sensing and so on. Though many methods have been proposed for horizontal and oriented texts, detecting irregular shape texts such as curved texts is still a challenging problem. To solve t...Show More

Arbitrary Shape Scene Text Detection With Adaptive Text Region Representation

Xiaobing Wang;Yingying Jiang;Zhenbo Luo;Cheng-Lin Liu;Hyunsoo Choi;Sungjin Kim

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Year: 2019 | Conference Paper |

R2 CNN: Rotational Region CNN for Arbitrarily-Oriented Scene Text Detection

Yingying Jiang;Xiangyu Zhu;Xiaobing Wang;Shuli Yang;Wei Li;Hua Wang;Pei Fu;Zhenbo Luo

2018 24th International Conference on Pattern Recognition (ICPR)

Year: 2018 | Conference Paper |

Cited by: Papers (204)

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Scene text detection is challenging as the input may have different orientations, sizes, font styles, lighting conditions, perspective distortions and languages. This paper addresses the problem by designing a Rotational Region CNN (R2CNN). R2CNN includes a Text Region Proposal Network (Text-RPN) to estimate approximate text regions and a multitask refinement network to get the precise inclined bo...Show More

R2 CNN: Rotational Region CNN for Arbitrarily-Oriented Scene Text Detection

Yingying Jiang;Xiangyu Zhu;Xiaobing Wang;Shuli Yang;Wei Li;Hua Wang;Pei Fu;Zhenbo Luo

2018 24th International Conference on Pattern Recognition (ICPR)

Year: 2018 | Conference Paper |

Deep Residual Text Detection Network for Scene Text

Xiangyu Zhu;Yingying Jiang;Shuli Yang;Xiaobing Wang;Wei Li;Pei Fu;Hua Wang;Zhenbo Luo

2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)

Year: 2017 | Conference Paper |

Cited by: Papers (13)

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Scene text detection is a challenging problem in computer vision. In this paper, we propose a novel text detection network based on prevalent object detection frameworks. In order to obtain stronger semantic feature, we adopt ResNet as feature extraction layers and exploit multi-level feature by combining hierarchical convolutional networks. A vertical proposal mechanism is utilized to avoid propo...Show More

Deep Residual Text Detection Network for Scene Text

Xiangyu Zhu;Yingying Jiang;Shuli Yang;Xiaobing Wang;Wei Li;Pei Fu;Hua Wang;Zhenbo Luo

2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)

Year: 2017 | Volume: 01 | Conference Paper |

End-to-End Scene Text Recognition in Videos Based on Multi Frame Tracking

Xiaobing Wang;Yingying Jiang;Shuli Yang;Xiangyu Zhu;Wei Li;Pei Fu;Hua Wang;Zhenbo Luo

2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)

Year: 2017 | Conference Paper |

Cited by: Papers (16)

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Text detection and recognition in scene images and videos attract much attention in computer vision recently. However, most existing text detection and recognition methods only focus on static images. In this paper an end-to-end scene text recognition method based on multi frame tracking is proposed for text in videos, in which temporal information is employed to improve performance. First, an end...Show More

End-to-End Scene Text Recognition in Videos Based on Multi Frame Tracking

Xiaobing Wang;Yingying Jiang;Shuli Yang;Xiangyu Zhu;Wei Li;Pei Fu;Hua Wang;Zhenbo Luo

2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)

Year: 2017 | Volume: 01 | Conference Paper |

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