Papers
2
Total Citations
35
H-Index
1
About
Hangyu Li is a leading researcher at the intersection of computer vision and computational imaging, with a primary focus on low-light image and video enhancement using event cameras. His major contributions center on overcoming the critical bottleneck in this field: the lack of large-scale, real-world, spatio-temporally aligned event-image datasets. Li pioneered the creation of such datasets, most notably through his 2024 work, "Towards Robust Event-guided Low-Light Image Enhancement," which has already garnered 34 citations and provides a foundational resource for the community. Building on this, his 2025 paper "EvLight++" extends the paradigm to video, introducing a novel method alongside an even larger event-video dataset. By enabling robust, high-dynamic-range imaging in extreme lighting conditions, Li’s work directly advances applications in autonomous driving, surveillance, and robotics. His research is distinguished by its practical, data-driven approach—addressing real-world limitations rather than relying solely on synthetic benchmarks. With his datasets and methods rapidly becoming standard references, Li is shaping the next generation of event-based vision systems.
Research Focus
Key Achievements
Top Papers
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