Yuxuan Jiang

About

I am currently a PhD student in the Visual Information Laboratory at University of Bristol, supervised by Prof. David Bull and Dr. Fan Zhang. My main research interests include deep learning, computer vision and image/video processing.
I obtained MSc (Distiction) in Communications and Signal Processing from Imperial College London, where I did research on Flexible Array Signal Processing, supervised by Prof. Athanassios Manikas. I completed BEng. degree in Information Engineering at Southeast University under the supervision of Prof. Qiang Cheng.
My current research is mainly focused on image/video super-resolution and video compression.

News & Activities

• Sept 2024: Two papers got accepted by VCIP 2024, Benchmarking Conventional and Learned Video Codecs with a Low-Delay Configuration, BVI-AOM.
• Sept 2024: We participated the the 3rd practical end-to-end image/video compression challenge in IEEE MMSP 2024, and our team is the WINNER in Track 2.
• Sept 2024: We participated the 5th AIM Challenge in Efficient Video Super-Resolution in ECCV 2024, and our submission is the top three winner.
• Seqt 2024: Started working as a Teaching Assistant for unit COMSM0160 - Advanced Visual AI.
• July 2024: The paper on "MTKD: Multi-Teacher Knowledge Distillation for Image Super-Resolution has been accepted by ECCV 2024.
• Feb 2024: One paper got accepted by Picture Coding Symposium (PCS) 2024, low complexity super resolution.
• Feb 2024: Started working as a Teaching Assistant for unit EENGM4100 - Digital Signal Processing Systems.
• Seqt 2023: Started working as a Teaching Assistant for undergraduate unit Engineering Maths.
• Feb 2023: Started working as a Teaching Assistant for MSc unit Data Science Enrichment (DSE).
• Oct 2022: Started my PhD study at University of Bristol.

Publications

MPEG Standard Contributions

1. BVI-AOM dataset (CWG-E082)
   J. Nawala, Y. Jiang , F. Zhang, X. Zhu, J. Sole and D. Bull, A submission to AOM, April 2024.
   

Conference Contributions

1. Benchmarking Conventional and Learned Video Codecs with a Low-Delay Configuration. [paper]
   S. Teng, Y. Jiang, G. Gao, F. Zhang, T. Davis, Z. Liu and D. Bull, accepted by IEEE VCIP, 2024.
   

2. BVI-AOM: A New Training Dataset for Deep Video Compression Optimization. [paper][database]
   J. Nawala, Y. Jiang, F. Zhang, X. Zhu, J. Sole, D. Bull, accepted by IEEE VCIP, 2024.
   

3. MTKD: Multi-Teacher Knowledge Distillation for Image Super-Resolution. [paper][code]
   Y. Jiang, C. Feng, F. Zhang, D. Bull, ECCV, 2024.
   
   
4. Compressing Deep Image Super-resolution Models. [paper][code]
   Y Jiang, J Nawala, F Zhang, D Bull, PCS, 2024.
   

Selected Awards

• Seq 2024: Third Place in the ECCV 2024 AIM Challenge in Efficient Video Super-Resolution (1st in PSNR, 3rd in VMAF and 1st in efficiency)
• Seq 2024: Our team got the Winner of track2 of the video compression challenge held by MMSP2024.
• Aug 2022: University of Bristol - My World PhD scholarship.
• Oct 2021: Imperial College London EEE Department MSc Communications and Signal Processing Outstanding Achievement Prize.