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
- 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, IJCV, TIP, TMM, CVPR, ICCV, ECCV, NIPS, ICLR, ICML, AAAI, IJCAI, ACM-MM, ICASSP.
- Awarded the 2024 Reviewer Certificate by Prof. Kyoung Mu Lee, the Editor-in-Chief of IEEE TPAMI, for peer review contributions.
📝 Publications
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
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
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
Three-Dimensional Model of the Moon with Semantic Information of Craters Based on Chang’e Data
Yunfan Lu, Yifan Hu, Jun Xiao, Lupeng Liu, Long Zhang, Ying Wang
Key Words: Chang E Dataset, 3D model of the Moon, Crater Information
📑 Underviewed Papers
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
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
🎖 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
- 2023.09 - 2024.12, HKUST (gz), Teaching Assistant for courses Data Mining (taught by Prof. Xiong) and Autonomous AI (taught by Prof. Junwei Liang).
- 2021.04 - 2022.01, HONOR, Senior Algorithm Engineer in Beijing, China, Sensor and Algorithm Solutions Department, led by Dr. Ye Gao.
- 2020.07 - 2021.04, DJI, Algorithm Engineer in Shenzhen, China, Machine Learning Department, led by Dr. Menglong Zhu.
- 2019.05 - 2020.02, Tencent, Multimedia Laboratory, Research Intern in Beijing, China, led by Dr. Shan Liu.