Ce Zheng
Papers
1
Total Citations
10
H-Index
1
About
Ce Zheng is a rising researcher in computer vision and human-robot interaction, with a focus on human-centric visual understanding. His most cited work, "LAMP: Leveraging Language Prompts for Multi-Person Pose Estimation" (2023), has garnered 10 citations and addresses a critical challenge for social robots navigating crowded environments: interpreting human activity through pose estimation. By integrating language prompts into multi-person pose estimation, Zheng's approach bridges natural language and visual perception, enabling robots to better understand and interact with humans in dynamic settings. This work contributes to the broader goal of effective human-robot interaction, where robots must decipher complex social scenes to operate safely and intuitively. Zheng's research sits at the intersection of computer vision, natural language processing, and robotics, with potential applications in autonomous navigation, assistive technology, and public safety. His innovative use of language as a guiding signal for visual tasks marks a notable step toward more context-aware AI systems, making his work relevant for students and researchers exploring embodied AI and human-centered robotics.
Research Focus
Key Achievements
Top Papers
- 1LAMP: Leveraging Language Prompts for Multi-Person Pose Estimation10 citations · 2023