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Hannes Ramon - IEEE Xplore Author Profile

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Author details

Hannes Ramon

Also published under: H. Ramon

Publications

28

Citations

341

Publications by Year

20172021

Co-Authors:

Theonitsa AlexoudiMarkus-Christian AmannYoojin BanJ. BauwelinckFelix Betschon

Show All Co-Authors (51)

Hannes Ramon

Also published under: H. Ramon

Affiliation

IDLab

imec - Ghent University

Ghent, Belgium

Bricsys, Ghent, Belgium

Publication Topics

Arbitrary Waveform Generator,
Silicon Photonics,
Bit Error Rate,
Eye Diagrams,
Photonic Integrated Circuits,
Power Consumption,
Standard Single-mode Fiber,
Digital Signal Processing,
Optical Power,
Mach-Zehnder Modulator,
Optical Amplifier,
Transimpedance Amplifier

Biography

Hannes Ramon (Member, IEEE) received the M.Ss. and Ph.D. degrees in electrical engineering from Ghent University, Ghent, Belgium, in 2015 and 2019, respectively.,In 2015, he joined IDLab Design Group, Department of Information Technology, Ghent University—IMEC, Ghent. His current research interests include high-speed, high-frequency mixed-signal designs for (opto-) electronic communication systems.(Based on document published on 19 February 2021).

Publications

28

Citations

341

Publications by Year

20172021

Co-Authors:

Theonitsa Alexoudi
Markus-Christian Amann
Yoojin Ban
J. Bauwelinck
Felix Betschon

Show All Co-Authors (51)

Author's Published Works

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Showing 1-4 of 4 results

Journals (3)

Conferences (1)

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Junjie Ren(4)
Jing Bai(4)
Zhu Xiao(3)
Licheng Jiao(3)
Zheng Chen(2)
College of Computer Science and Electronic Engineering, Hunan University, Changsha, China(2)
Shenzhen Research Institute, Hunan University, Shenzhen, China(2)
College of Computer Science and Electronics Engineering, Hunan University, Changsha, China(1)
China mobile tietong corporation shanxi branch, Taiyuan, China(1)
School of Artificial Intelligence and the Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education, Xidian University, Xi’an, China(1)
IEEE Transactions on Geoscience and Remote Sensing(1)
IEEE Transactions on Instrumentation and Measurement(1)
IEEE Transactions on Neural Networks and Learning Systems(1)
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium(1)
IEEE(4)
Kuala Lumpur, Malaysia(1)
Object Detection(3)
Bounding Box(2)
Complex Background(2)
Feature Maps(2)
Remote Sensing Images(2)

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An Interpretable Explanation Approach for Signal Modulation Classification

Jing Bai;Yuheng Lian;Yiran Wang;Junjie Ren;Zhu Xiao;Huaji Zhou;Licheng Jiao

IEEE Transactions on Instrumentation and Measurement

Year: 2024 | Volume: 73 | Journal Article |

Cited by: Papers (7)

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Signal modulation classification (SMC) has attracted extensive attention for its wide application in the military and civil fields. The current direction of combining deep-learning (DL) technology with wireless communication technology is developing hotly. DL models are riding high in the field of SMC with their highly abstract feature extraction capability. However, most DL models are decision-ag...Show More

An Interpretable Explanation Approach for Signal Modulation Classification

Jing Bai;Yuheng Lian;Yiran Wang;Junjie Ren;Zhu Xiao;Huaji Zhou;Licheng Jiao

IEEE Transactions on Instrumentation and Measurement

Year: 2024 | Volume: 73 | Journal Article |

Localizing From Classification: Self-Directed Weakly Supervised Object Localization for Remote Sensing Images

Jing Bai;Junjie Ren;Zhu Xiao;Zheng Chen;Chengxi Gao;Talal Ahmed Ali Ali;Licheng Jiao

IEEE Transactions on Neural Networks and Learning Systems

Year: 2024 | Volume: 35, Issue: 12 | Journal Article |

Cited by: Papers (7)

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In recent years, object localization and detection methods in remote sensing images (RSIs) have received increasing attention due to their broad applications. However, most previous fully supervised methods require a large number of time-consuming and labor-intensive instance-level annotations. Compared with those fully supervised methods, weakly supervised object localization (WSOL) aims to recog...Show More

Localizing From Classification: Self-Directed Weakly Supervised Object Localization for Remote Sensing Images

Jing Bai;Junjie Ren;Zhu Xiao;Zheng Chen;Chengxi Gao;Talal Ahmed Ali Ali;Licheng Jiao

IEEE Transactions on Neural Networks and Learning Systems

Year: 2024 | Volume: 35, Issue: 12 | Journal Article |

Few-Shot SAR Ship Image Detection Using Two-Stage Cross-Domain Transfer Learning

Xu Wang;Huaji Zhou;Zheng Chen;Jing Bai;Junjie Ren;Jiao Shi

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium

Year: 2022 | Conference Paper |

Cited by: Papers (4)

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Synthetic Aperture Radar is superior to optical sensors in that it can identify ships at all hours and on all days. Deep learning-based object detection relies on huge amounts of data, yet SAR ship images are challenging to obtain and label. A few-shot cross-domain transfer learning approach for SAR image ship detection is used in this paper. It is divided into two stages: the first uses a large v...Show More

Few-Shot SAR Ship Image Detection Using Two-Stage Cross-Domain Transfer Learning

Xu Wang;Huaji Zhou;Zheng Chen;Jing Bai;Junjie Ren;Jiao Shi

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium

Year: 2022 | Conference Paper |

Object Detection in Large-Scale Remote-Sensing Images Based on Time-Frequency Analysis and Feature Optimization

Jing Bai;Junjie Ren;Yujia Yang;Zhu Xiao;Wentao Yu;Vincent Havyarimana;Licheng Jiao

IEEE Transactions on Geoscience and Remote Sensing

Year: 2022 | Volume: 60 | Journal Article |

Cited by: Papers (17)

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Recently, optical remote-sensing images have been steadily growing in size, as they contain massive data and complex backgrounds. This trend presents several problems for object detection, for example, increased computation time and memory consumption and more false positives due to the complex backgrounds of large-scale images. Inspired by deep neural networks combined with time-frequency analysi...Show More

Object Detection in Large-Scale Remote-Sensing Images Based on Time-Frequency Analysis and Feature Optimization

Jing Bai;Junjie Ren;Yujia Yang;Zhu Xiao;Wentao Yu;Vincent Havyarimana;Licheng Jiao

IEEE Transactions on Geoscience and Remote Sensing

Year: 2022 | Volume: 60 | Journal Article |

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