Zhiwei Xiong
Papers
1
Total Citations
28
H-Index
1
About
Zhiwei Xiong is a leading researcher in computer vision and computational imaging, with a focus on high dynamic range (HDR) perception and RAW-domain object detection. His most impactful work, "Toward RAW Object Detection: A New Benchmark and A New Model" (2023, 28 citations), pioneers the direct processing of RAW sensor data for object detection—a critical advancement for applications like autonomous driving and robotics, where traditional RGB-based methods struggle under extreme lighting conditions such as glare or low light. By introducing a new benchmark and model that leverage HDR information from RAW images, Xiong addresses a fundamental gap in vision systems, enabling more robust and reliable detection in real-world scenarios. His contributions bridge the gap between sensor physics and high-level vision tasks, earning recognition for pushing the boundaries of practical computer vision. With a growing citation impact, Xiong’s work is shaping the next generation of perception systems that operate directly on raw sensor streams, promising safer and more adaptive autonomous technologies.
Research Focus
Key Achievements
Top Papers
- 1Toward RAW Object Detection: A New Benchmark and A New Model28 citations · 2023