Chengyu Qiao
Papers
2
Total Citations
30
H-Index
2
About
Chengyu Qiao is a researcher in computer vision and 3D scene understanding, with a focus on semantic and geometric perception for autonomous systems. His work bridges the gap between semantics and geometry, particularly through simultaneous semantic segmentation and depth completion—a core challenge for applications like robot navigation, AR/VR, and autonomous driving. His 2020 paper on this topic, which enforces boundary constraints to improve joint prediction, has garnered 20 citations, reflecting its relevance to the field. Qiao also contributes to 3D reconstruction using catadioptric systems, where he developed a single-camera multi-mirror setup for multi-stereo reconstruction, enabling large field-of-view 3D scene capture in a single shot. This 2019 work, with 10 citations, addresses practical limitations in omnidirectional imaging for robotics and surveillance. By integrating semantic and depth cues, Qiao’s research advances robust scene parsing, with potential impact on real-time autonomous navigation and immersive virtual environments. His work is notable for tackling both algorithmic and system-level challenges in perception.
Research Focus
Key Achievements
Top Papers
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- 2