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Yibo Yang

Publications

Citations

817

Publications by Year

20182025

Co-Authors:

Fengxiang BieGuangliang ChengDavid A. CliftonJiequan CuiHenghui Ding

Show All Co-Authors (47)

Yibo Yang

Affiliation

King Abdullah University of Science and Technology, Thuwal, Saudi Arabia

Publication Topics

Semantic Segmentation,
Multi-scale Features,
Object Detection,
Query Features,
Segmentation Task,
Vision Transformer,
Current Frame,
Dense Prediction,
Diffusion Model,
Effects Of Components,
Feature Aggregation,
Image Captioning

Biography

Yibo Yang received the PhD degree from Peking University, in 2021. He is a research scientist with KAUST. His research interests include machine learning and computer vision. He has published more than 30 publications in top-tier journals and conferences. He was awarded the CAAI Wuwenjun AI Science and Technology Award, First Prize of Natural Science (5-th contributor) and the CAAI Wuwenjun Outstanding Ph.D. Dissertation Award. He was also awarded the first prize in BMTT challenge 2021, the Innovative Award in MS COCO challenge 2019, and the Runner-up Award in MS COCO challenge 2018.(Based on document published on 27 December 2024).

Publications

Citations

817

Publications by Year

20182025

Co-Authors:

Fengxiang Bie
Guangliang Cheng
David A. Clifton
Jiequan Cui
Henghui Ding

Show All Co-Authors (47)

Author's Published Works

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Showing 1-4 of 4 results

Conferences (3)

Journals (1)

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Soha Safwat(4)
Maria Fayez(1)
Osman Hegazy(1)
Ibrahim Eldesouky Fattoh(1)
Ramez Yousri(1)
Faculty of Computers and Information, Cairo University, Giza, Egypt(2)
Department of Information Technology, Faculty of Computers and Artificial Intelligence, Beni-Suef University, Beni Suef, Egypt(1)
Faculty of Computer Science, October University for Modern, Giza, Egypt(1)
Software Engineering, Egyptian Chinese University, Cairo, Egypt(1)
Department of Computer Science, Faculty of Computer Science, MSA University, Cairo, Egypt(1)
2016 SAI Computing Conference (SAI)(2)
2023 International Conference on Computer and Applications (ICCA)(1)
IEEE Access(1)
IEEE(4)
London, UK(2)
Cairo, Egypt(1)
Class Labels(2)
Long Short-term Memory(2)
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Hybrid Deep Learning Model Based on GAN and RESNET for Detecting Fake Faces

Soha Safwat;Ayat Mahmoud;Ibrahim Eldesouky Fattoh;Farid Ali

IEEE Access

Year: 2024 | Volume: 12 | Journal Article |

Cited by: Papers (2)

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While human brains have the ability to distinguish face characteristics, the use of advanced technology and artificial intelligence blurs the difference between actual and modified images. The evolution of digital editing applications has led to the fabrication of very lifelike false faces, making it harder for humans to discriminate between real and made ones. Because of this, techniques like dee...Show More

Hybrid Deep Learning Model Based on GAN and RESNET for Detecting Fake Faces

Soha Safwat;Ayat Mahmoud;Ibrahim Eldesouky Fattoh;Farid Ali

IEEE Access

Year: 2024 | Volume: 12 | Journal Article |

How Big Can It Get? A comparative analysis of LLMs in architecture and scaling

Ramez Yousri;Soha Safwat

2023 International Conference on Computer and Applications (ICCA)

Year: 2023 | Conference Paper |

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Large Language models (LLMs) are increasingly becoming an integral part of our society. They play important roles in education, marketing and healthcare. These models exhibit emergent behavior when scaled, however such scaling might have its disadvantages as well. As a way to combat such disadvantages, new architectures and types of models have been designed. In this paper, we show the different a...Show More

How Big Can It Get? A comparative analysis of LLMs in architecture and scaling

Ramez Yousri;Soha Safwat

2023 International Conference on Computer and Applications (ICCA)

Year: 2023 | Conference Paper |

A mapreduce fuzzy techniques of big data classification

Osman Hegazy;Soha Safwat;Malak El Bakry

2016 SAI Computing Conference (SAI)

Year: 2016 | Conference Paper |

Cited by: Papers (15)

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Due to the huge increase in the size of the data it becomes troublesome to perform efficient analysis using the current traditional techniques. Big data put forward a lot of challenges due to its several characteristics like volume, velocity, variety, variability, value and complexity. Today there is not only a necessity for efficient data mining techniques to process large volume of data but in a...Show More

A mapreduce fuzzy techniques of big data classification

Osman Hegazy;Soha Safwat;Malak El Bakry

2016 SAI Computing Conference (SAI)

Year: 2016 | Conference Paper |

Comparative study of clustering medical images

Maria Fayez;Soha Safwat;Ehab Hassanein

2016 SAI Computing Conference (SAI)

Year: 2016 | Conference Paper |

Cited by: Papers (5)

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Due to the fast growing of the images data repositories, there is a big challenge to organize these repositories and make them easy to search and mine to get knowledge. Image clustering goal is to link each image in an image database with a class label, so similar images are grouped and have the same class label and which are different from other images in a database. Image clustering organize ima...Show More

Comparative study of clustering medical images

Maria Fayez;Soha Safwat;Ehab Hassanein

2016 SAI Computing Conference (SAI)

Year: 2016 | Conference Paper |

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