PhD Researcher in Computer Vision
Visual Information Laboratory · University of Bristol
     

About Me I am a PhD researcher in the Visual Information Laboratory at the University of Bristol, supervised by Prof. Nantheera Anantrasirichai and Prof. David Bull. My PhD is funded by the UKRI MyWorld Strength in Places Programme. I completed both my BSc in Computer Science and MSc in Data Science with Distinction at the University of Bristol. My research focuses on robust image and video restoration under challenging visual conditions, particularly low-light environments. I develop learning-based methods for denoising and restoration, spatio-temporal modelling, motion alignment, and downstream video analysis. My recent work explores pixel-space modelling, visual foundation models, and 3D/4D reconstruction under challenging conditions.

Research Interests

Low-light image & video restoration Robust vision under real-world degradations Spatio-temporal modelling & motion alignment

Visual foundation models Generative & diffusion models 3D/4D reconstruction

News

• May 2026 — Released PixIE, a prompted pixel-space framework for low-light image enhancement.
• April 2026 — Our paper on extreme low-light video enhancement was accepted to ICIP 2026.
• Feb 2026 — Co-authored ELVIS, accepted to CVPR 2026.
• Nov 2025 — Co-authored a paper on Bayesian neural networks for one-to-many mapping, accepted to AAAI 2026.
• Dec 2024 — Invited talk, following the CVMP 2024 Best Paper.
• Nov 2024 — Our conditional diffusion model paper received the Best Paper Award at CVMP 2024 (ACM SIGGRAPH European Conference on Visual Media Production).

Selected Publications

ELVIS: Enhance Low-Light for Video Instance Segmentation in the Dark

Joanne Lin, Ruirui Lin, Yini Li, David Bull, Nantheera Anantrasirichai. CVPR 2026.

PDF Code Project

Dynamic Weight-Based Temporal Aggregation for Low-Light Video Enhancement Under Extreme Noise

Ruirui Lin, Guoxi Huang, Nantheera Anantrasirichai. ICIP 2026.

PDF

PixIE: Prompted Pixel-Space Low-Light Image Enhancement

Ruirui Lin, Guoxi Huang, David Bull, Nantheera Anantrasirichai. arXiv preprint.

arXiv

Bayesian Neural Networks for One-to-Many Mapping

Guoxi Huang, Qian Yang, Ruirui Lin, Zipeng Qi, David Bull, Nantheera Anantrasirichai. AAAI 2026.

Paper Code

Low-Light Video Enhancement with Conditional Diffusion Models and Wavelet Interscale Attention

Ruirui Lin, Qi Sun, Nantheera Anantrasirichai. CVMP Best Paper 2024.

Best Paper Code

BVI-RLV: A Fully Registered Dataset for Low-Light Video Enhancement

Ruirui Lin, Guoxi Huang, Joanne Lin, Qi Sun, Alexandra Malyugina, David R Bull, Nantheera Anantrasirichai.

Dataset arXiv Project