Yunfan Lu is a final-year Ph.D. student at HKUST (GZ) advised by Prof. Hui Xiong (Fellow of AAAS, AAAI and IEEE). He has also worked with the Robotics and Perception Group, hosted by Prof. Davide Scaramuzza. He collaborates with Prof. Yusheng Wang (UTokyo), Dr. Xiaogang Xu (CUHK), and Dr. Yanlin Qian (DJI/Hasselblad). He received his master’s degree from UCAS supervised by Prof. Jun Xiao, and his bachelor’s degree from NUST. His long-term goal is to build imaging systems that approach the agility of biological vision.

Feel free to reach out. Email: ylu066@connect.hkust-gz.edu.cn, WeChat: for0toinf.

News

• 2026.07:  Two paper accepted at IEEE-TMM!
• 2026.06:  One paper accepted at ECCV 2026, HESIM!
• 2026.04:  Our workshop “Event-Based Multimodal Vision” has been accepted by ECCV 2026. Stay tuned!
• 2026.03:  One paper accepted at IEEE TMM, DeblurSplat!
• 2026.02:  One paper accepted at CVPR 2026, EvDehaze!
• 2025.11:  Two papers accepted: one at AAAI 2025 and one at IEEE T-AI.!
• 2025.10:  Two paper accepted at IJCV!
• 2025.09:  One paper accepted at IEEE TPAMI!
• 2025.05:  One paper accepted at IEEE TVCG!
• 2025.03:  One paper accepted at CVPR 2025!
• 2025.01:  One paper accepted at ICLR 2025!
• 2024.06:  I was interviewed by China Daily about computational imaging with event cameras. Read the article
• 2024:  Two papers published at ECCV 2024!
• 2024:  Two papers published at CVPR 2024, including one Oral!
• 2023:  One Paper published at CVPR 2023!
• 2022:  One Paper published at ECCV 2022!

Public Service

• I have served as a reviewer for TPAMI, TOG, TRO, IJCV, TIP, TMM, CVPR, ICCV, ECCV, NIPS, ICLR, ICML, AAAI, IJCAI, ACM-MM, ICASSP.
  • Awarded the 2025, 2024 Reviewer Certificate by Prof. Kyoung Mu Lee, the Editor-in-Chief of IEEE TPAMI, for peer review contributions.

Publications

IEEE T-MM 2026

EventVL: Understand Event Streams via Multimodal Large Language Model

Pengteng Li,Yunfan Lu, Pinghao Song, Wuyang Li, Huizai Yao, Hui Xiong

Key Words: Vision Large Language Model, Event Camera

Paper

ECCV 2026

Hybrid Event–Frame Sensors: Modeling, Calibration, and Simulation

Yunfan Lu , Nico Messikommer, Xiaogang Xu, Liming Chen, Yuhan Chen, Nikola Zubic, Davide Scaramuzza, Hui Xiong

Key Words: Hybrid Sensor, Event Camera

Page, Paper

CVPR 2026

From Events to Clarity: The Event-Guided Diffusion Framework for Dehazing

Ling Wang*, Yunfan Lu * , Wenzong Ma, Huizai Yao, Pengteng Li, Hui Xiong† (*Equal contribution)

Key Words: Diffusion Framework , Event Camera

Page, Paper

ECCV W 2026

From Events to Enhancement: A Survey on Event-Based Imaging Technologies

Yunfan Lu, Xiaogang Xu, Pengteng Li, Yusheng Wang, Yi Cui, Huizai Yao, Hui Xiong

Key Words: Event-based imaging, Survey

Paper

IEEE-TMM

DeblurSplat: Traditional SfM-free 3D Gaussian Splatting with EventCamera for Robust Deblurring

Pengteng Li, Pinhao Song, Weiyu Guo, Huizai Yao, Yunfan Lu † , F. Richard Yu, Hui Xiong † († Corresponding author)

Key Words: 3D GS, Event Camera

Paper

IJCV

HR-INR: Continuous Space-Time Video Super-Resolution via Event Camera

Yunfan Lu, Zipeng Wang, Yusheng Wang, Hui Xiong

Key Words: Continuous Space-time Video Super-resolution, Event Temporal Pyramid Representation

Paper, Code

IJCV

SEE: See Everything Every Time - Adaptive Brightness Adjustment for Broad Light Range Images via Events

Yunfan Lu, Xiaogang Xu, Hao Lu, Yanlin Qian, Pengteng Li, Huizai Yao, Bin Yang, Junyi Li, Qianyi Cai, Weiyu Guo, Hui Xiong

Key Words: Brightness Adjustment, Event-based Imaging, Dataset

Paper, Code

IEEE TPAMI

Low-Light Video Enhancement with an Event Camera: A Large-Scale Real-World Dataset, Novel Method, and More

Kanghao Chen*, Guoqiang Liang*, Yunfan Lu*, Hangyu Li, Lin Wang

Key Words: Low-light Video Enhancement, Large-scale Dataset

Paper, Code

ICLR 2025

RGB-Event ISP: The Dataset and Benchmark

Yunfan Lu, Yanlin Qian, Ziyang Rao, Junren Xiao, Liming Chen, Hui Xiong

Key Words: Event Camera, Image Signal Processor, Color Correction, Denoising

Paper, Code

IEEE TVCG

Self-supervised Learning of Event-guided Video Frame Interpolation for Rolling Shutter Frames

Yunfan Lu*, Guoqiang Liang*, Lin Wang

Key Words: Rolling Shutter Correction, Event-guided Video Frame Interpolation

Paper,Code

CVPR 2025

Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS Demosaicing

Shiyang Zhou, Haijin Zeng, Yunfan Lu, Tong Shao, Ke Tang, Yongyong Chen, Jie Liu, Jingyong Su

Key Words: Hybrid Camera, Binarized NN, HybridEVS Demosaicing

Paper, Code

ECCV 2024

UniINR: Unifying Spatial-Temporal INR for RS Video Correction, Deblur, and Interpolation with an Event Camera

Yunfan Lu, Guoqiang Liang, Yusheng Wang, Lin Wang, Hui Xiong

Key Words: Rolling Shutter Correction, Deblurring, Frame Interpolation

Paper, Code , Video

ECCV 2024

Revisit Event Generation Model: Self-Supervised Learning of Event-to-Video Reconstruction with Implicit Neural Representations

Zipeng Wang,Yunfan Lu, Lin Wang

Key Words: Implicit Neural Representations, Model-based Event-to-Video Reconstruction

Paper, Code

CVPR 2024 (Oral)

Towards Robust Event-guided Low-Light Image Enhancement: A Large-Scale Real-World Event-Image Dataset and Novel Approach Oral

Guoqiang Liang, Kanghao Chen, Hangyu Li,Yunfan Lu, Lin Wang

Key Words: Low-light Enhancement, Real-world dataset

Paper, Code , Dataset Baidu Pan,OneDrive

CVPR W 2024

Event Camera Demosaicing via Swin Transformer and Pixel-focus Loss

Yunfan Lu, Yijie Xu, Wenzong MA, Weiyu Guo, Hui Xiong

Key Words: Event Camera Demosaicing, RAW domain

Paper, MIPI-2024 Workshop Report

CVPR 2023

Learning Spatial-Temporal Implicit Neural Representations for Event-Guided Video Super-Resolution

Yunfan Lu, Zipeng Wang, Minjie Liu, Hongjian Wang, Lin Wang

Key Words: Video Super-Resolution, Implicit Neural Representations

Paper, Code , Dataset pw: cvpr, Video

ECCV 2022

Efficient video deblurring guided by motion magnitude

Yusheng Wang,Yunfan Lu, Ye Gao, Lin Wang, Zhihang Zhong, Yinqiang Zheng, Atsushi Yamashita

Key Words: Video Deblurring, Motion Magnitude Prior

Paper, Code

IEEE T-AI

Vetaverse: Technologies, applications, and visions toward the intersection of metaverse, vehicles, and transportation systems

Pengyuan Zhou, Jinjing Zhu, Yiting Wang,Yunfan Lu, Zixiang Wei, Haolin Shi, Yuchen Ding, Yu Gao, Qinglong Huang, Yan Shi, Ahmad Alhilal, Lik-Hang Lee, Tristan Braud, Pan Hui

Key Words: Vehicular-Metaverse, Intelligent Transportation Systems, Immersive infotainment

Paper

Honors and Awards

• 2019 Scholarship of Summer School by INRIA and Institut Français.
• 2018 China National Scholarship. (Top 0.8%).
• 2017 Silver Medal, The ACM-ICPC Asia Regional Contest 2017 Beijing Site (rank: 34/168).
• 2017 Bronze Medal, The CCF-CCPC China Contest 2017 Qianhuangdao Site (rank: 51/276).

Work Experience