Yu-Chen Wei
Papers
1
Total Citations
83
H-Index
1
About
Yu-Chen Wei is a leading researcher in computer vision, with a primary focus on 3D object detection and 6D pose estimation using deep learning. His most cited work, "A Comprehensive Review on 3D Object Detection and 6D Pose Estimation With Deep Learning" (2021), has garnered 83 citations, establishing him as a key voice in this rapidly evolving field. In this comprehensive survey, Wei systematically categorizes and analyzes methods for detecting objects in three dimensions—considering size, position, and orientation—while also addressing the complex challenge of estimating an object’s full six-degree-of-freedom pose. His contributions provide a critical roadmap for researchers and practitioners, synthesizing advances that underpin applications in robotics, autonomous driving, and augmented reality. By clarifying the distinctions and synergies between 3D detection and 6D pose estimation, Wei’s work has helped shape contemporary research agendas and inspired further innovation. His review remains an essential reference for students and engineers seeking to understand the state of the art, reflecting his impact as both a synthesizer of knowledge and a driver of progress in deep learning-based vision systems.
Research Focus
Key Achievements
Top Papers
- 1