Yanyan Wei
Papers
1
Total Citations
2
H-Index
1
About
Yanyan Wei is a rising researcher in computer vision and robotics, whose work centers on advancing embodied intelligence through robust perception of articulated objects. Her key research areas include 3D pose estimation, differentiable rendering, and category-level object understanding—critical for enabling robots to interact with everyday objects like cabinets, drawers, and doors. Wei’s most notable contribution, "Towards Robust Category-level Articulation Pose Estimation via Integrated Differentiable Rendering" (2025), tackles the persistent challenge of estimating the pose of articulated objects under kinematic constraints and self-occlusion. By integrating differentiable rendering into the estimation pipeline, her approach achieves greater robustness and accuracy, directly supporting downstream tasks such as manipulation, grasping, and human-robot interaction. Though early in her career, this work has already garnered attention with 2 citations, signaling its potential impact. Wei’s research bridges the gap between visual perception and physical interaction, offering practical solutions for robots operating in unstructured human environments. Her innovative use of rendering-based optimization marks a promising direction for the field, positioning her as a researcher to watch in the quest for more capable and adaptable robotic systems.
Research Focus
Key Achievements
Top Papers
- 1