Stan Weixian Lei
Papers
1
Total Citations
15
H-Index
1
About
Stan Weixian Lei is a rising researcher in computer vision and embodied AI, with a focus on egocentric perception and human-assistant interaction. His work centers on affordance-centric reasoning—understanding how objects can be used in context—and task completion from a first-person perspective. Lei’s most cited paper, "AssistQ: Affordance-Centric Question-Driven Task Completion for Egocentric Assistant" (2022, 15 citations), introduces a novel framework that enables AI assistants to interpret natural language questions and execute step-by-step tasks by leveraging visual affordances in egocentric video. This contribution bridges the gap between language understanding and physical action, advancing assistive robotics and augmented reality systems. Though early in his career, Lei’s work has already garnered attention for its practical approach to grounding AI in real-world, user-centric scenarios. His research promises to shape how intelligent systems interact with humans in daily environments, making him a notable voice in the next generation of embodied AI researchers.
Research Focus
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Top Papers
- 1