Jiaqi Deng
Papers
1
Total Citations
5
H-Index
1
About
Jiaqi Deng is a computer vision researcher whose work pushes the boundaries of visual perception beyond standard object detection. Their key research area focuses on understanding not just *what* objects are present and *where* they are located, but also *how* they interact with their environment—specifically through occlusion. Deng’s major contribution is the introduction of a novel benchmark for detecting occlusion states, a critical yet underexplored problem in autonomous driving, robotics, and augmented reality. By formalizing the challenge of recognizing when and how objects are partially hidden, their 2022 paper, "Detection Beyond What and Where: A Benchmark for Detecting Occlusion State," provides a foundational framework for future research. While still early in its impact, with 5 citations, this work has already garnered attention for its forward-thinking approach. Deng’s research is essential for developing more robust perception systems that can operate reliably in cluttered, real-world scenes, making it a valuable resource for students and engineers working on advanced vision tasks.
Research Focus
Key Achievements
Top Papers
- 1