Heng Bai
Papers
1
Total Citations
38
H-Index
1
About
Heng Bai is a prominent researcher in the field of computer vision, with a primary focus on 3D object detection and autonomous driving perception. His most-cited work, "A survey of 3D object detection" (2021), has garnered 38 citations and provides a comprehensive overview of state-of-the-art techniques, including LiDAR-based, camera-based, and multi-modal fusion approaches. This survey has become a key reference for researchers and practitioners seeking to understand the evolving landscape of 3D perception, particularly in the context of autonomous vehicles and robotics. Bai’s contributions extend beyond surveys, as he has actively advanced methods for improving detection accuracy and efficiency in complex environments. His work is recognized for its clarity and depth, helping to bridge the gap between theoretical advances and practical deployment. With a growing citation impact, Heng Bai continues to shape the direction of 3D vision research, making his profile essential reading for students and researchers interested in the intersection of deep learning, sensor fusion, and real-world perception systems.
Research Focus
Key Achievements
Top Papers
- 1A survey of 3D object detection38 citations · 2021