Youliang Yan
Papers
1
Total Citations
28
H-Index
1
About
Youliang Yan is a leading researcher in computer vision, with a primary focus on advancing object detection in challenging, real-world environments. His work is particularly distinguished by pioneering efforts in RAW sensor data processing, a critical area for applications like autonomous driving and robotics where high dynamic range (HDR) and low-light conditions pose significant hurdles. Yan’s most cited paper, "Toward RAW Object Detection: A New Benchmark and A New Model" (2023, 28 citations), introduces a groundbreaking framework that enables object detection directly on unprocessed RAW sensor data, bypassing traditional image signal processing. This approach preserves the full dynamic range and information from the sensor, dramatically improving detection accuracy under extreme lighting, such as strong glare or deep shadows. By establishing a new benchmark and model for this underexplored domain, Yan has opened a vital pathway for more robust and reliable vision systems in safety-critical fields. His contributions are already shaping the next generation of perception algorithms, making him a notable figure in bridging the gap between raw sensor physics and practical computer vision.
Research Focus
Key Achievements
Top Papers
- 1Toward RAW Object Detection: A New Benchmark and A New Model28 citations · 2023