Luyang Zhu
Papers
2
Total Citations
89
H-Index
2
About
Luyang Zhu is a leading researcher at the intersection of computer vision and robotics, with a primary focus on 3D perception, depth estimation, and the challenging domain of transparent object reconstruction. Their most significant contribution is the pioneering work on "RGB-D Local Implicit Function for Depth Completion of Transparent Objects" (2021), which has garnered 85 citations. This research directly tackles a critical failure point in standard RGB-D sensors: their inability to capture depth for transparent objects due to light refraction and absorption. By introducing a novel local implicit function that leverages both RGB and depth cues, Zhu’s method enables robots to perceive and interact with transparent surfaces—a long-standing bottleneck in manipulation tasks. This work is foundational for advancing robotic grasping and scene understanding in real-world environments. Zhu’s research has been instrumental in pushing the boundaries of what robots can see and handle, making a lasting impact on the field of robotic perception and 3D computer vision.
Research Focus
Key Achievements
Top Papers
- 1RGB-D Local Implicit Function for Depth Completion of Transparent Objects85 citations · 2021
- 2