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Gui-Song Xia

Also published under: Guisong Xia, G. -S. Xia, Gui-song Xia, Gui–Song Xia

Publications

157

Citations

12,901

Publications by Year

20062025

Co-Authors:

Jean-François AujolYu BaiSong BaiXiang BaiQianyue Bao

Show All Co-Authors (277)

Gui-Song Xia

Also published under: Guisong Xia, G. -S. Xia, Gui-song Xia, Gui–Song Xia

Affiliation

School of Artificial Intelligence

Wuhan University

Wuhan, China

Publication Topics

Feature Maps,
Semantic Segmentation,
Image Pairs,
Self-supervised Learning,
Training Set,
3D Reconstruction,
Aerial Images,
Building Footprints,
Convolutional Neural Network,
Dynamic Vision Sensor,
Event Stream,
Object Detection

Biography

Gui-Song Xia received the PhD degree in image processing and computer vision from CNRS LTCI, Télécom ParisTech, Paris, France, in 2011. From 2011 to 2012, he has been a postdoctoral researcher with the Centre de Recherche en Mathématiques de la Decision, CNRS, Paris-Dauphine University, Paris, for one and a half years. He is currently working as a full professor at Wuhan University. He has also been working as visiting scholar with DMA, École Normale Supérieure (ENS-Paris) for two months in 2018. His current research interests include mathematical modeling of images and videos, structure from motion, perceptual grouping, and remote sensing image understanding. He serves on the editorial boards of several journals, including the Pattern Reco...

Publications

157

Citations

12,901

Publications by Year

20062025

Co-Authors:

Jean-François Aujol
Yu Bai
Song Bai
Xiang Bai
Qianyue Bao

Show All Co-Authors (277)

Author's Published Works

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Md Habibur Rahman(2)
Rana Tabassum(2)
Hyoung-Kyu Song(2)
Mohammad Abrar Shakil Sejan(2)
Md Abdul Aziz(2)
Department of Convergence Engineering for Intelligent Drone, Sejong University, Seoul, Republic of Korea(2)
Department of Information and Communication Engineering, Sejong University, Seoul, Republic of Korea(2)
Department of Electronics and Communication Engineering, Sejong University, Seoul, Republic of Korea(1)
Department of Electrical Engineering, Sejong University, Seoul, Republic of Korea(1)
IEEE Access(2)
IEEE(2)
Bidirectional Long Short-term Memory(2)
Deep Learning(2)
Recurrent Neural Network(2)
Wireless(2)
Adaptive Coding(1)

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Bidirectional Deep Learning Decoder for Polar Codes in Flat Fading Channels

Md Abdul Aziz;Md Habibur Rahman;Mohammad Abrar Shakil Sejan;Rana Tabassum;Duck-Dong Hwang;Hyoung-Kyu Song

IEEE Access

Year: 2024 | Volume: 12 | Journal Article |

Cited by: Papers (1)

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One of the main issues facing in the future wireless communications is ultra-reliable and low-latency communication. Polar codes are well-suited for such applications, and recent advancements in deep learning have shown promising results in enhancing polar code decoding performance. We propose a robust decoder based on a bidirectional long short-term memory (Bi-LSTM) network, which processes seque...Show More

Bidirectional Deep Learning Decoder for Polar Codes in Flat Fading Channels

Md Abdul Aziz;Md Habibur Rahman;Mohammad Abrar Shakil Sejan;Rana Tabassum;Duck-Dong Hwang;Hyoung-Kyu Song

IEEE Access

Year: 2024 | Volume: 12 | Journal Article |

Deep Learning Based One Bit-ADCs Efficient Channel Estimation Using Fewer Pilots Overhead for Massive MIMO System

Md Habibur Rahman;Mohammad Abrar Shakil Sejan;Md Abdul Aziz;Rana Tabassum;Jung-In Baik;Hyoung-Kyu Song

IEEE Access

Year: 2024 | Volume: 12 | Journal Article |

Cited by: Papers (3)

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The massive MIMO approach presents an exciting prospect for the upcoming generation of wireless transmission systems. However, the adoption of actual massive MIMO scenarios is hindered by high hardware expenses and increased energy usage, particularly as the quantity of RF modules expands. To address this issue and make massive MIMO more commercially viable, the design of 1-bit analog-to-digital c...Show More

Deep Learning Based One Bit-ADCs Efficient Channel Estimation Using Fewer Pilots Overhead for Massive MIMO System

Md Habibur Rahman;Mohammad Abrar Shakil Sejan;Md Abdul Aziz;Rana Tabassum;Jung-In Baik;Hyoung-Kyu Song

IEEE Access

Year: 2024 | Volume: 12 | Journal Article |

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