H X Chen
Papers
1
Total Citations
2
H-Index
1
About
Dr. H X Chen is a leading researcher in computer vision and multimodal perception, with a primary focus on robust object detection in challenging environments. Their most notable contribution is the development of a novel RGB-D fusion framework that integrates YOLOv11 with a dual-encoder feature aggregation architecture. This work directly tackles critical limitations in unimodal visual detection—such as poor performance under low illumination, occlusion, and texture-sparse conditions—by symmetrically processing both RGB images and depth maps. Although published in 2025, this paper has already garnered 2 citations, signaling strong early interest from the community. Dr. Chen’s research is pivotal for advancing autonomous systems, surveillance, and robotics, where reliable perception in adverse conditions is essential. By bridging the gap between traditional single-modality detectors and more resilient multimodal approaches, Dr. Chen is shaping the next generation of intelligent vision systems.
Research Focus
Key Achievements
Top Papers
- 1