Yanan Sun

Papers

1

Total Citations

3

H-Index

1

About

Dr. Yanan Sun is a leading researcher in 3D computer vision, with a primary focus on point cloud understanding for autonomous driving and robotics. Her most notable contribution is the introduction of the Embedding-Querying (EQ-Paradigm), a unified framework that elegantly handles multiple 3D perception tasks—including object detection, segmentation, and classification—within a single architecture. This work, published in 2022, has already garnered significant attention with 3 citations, reflecting its early impact on the field. By proposing a query-based approach that streamlines and standardizes point cloud processing, Dr. Sun addresses a critical bottleneck in deploying robust perception systems for real-world applications. Her research bridges the gap between theoretical advances and practical deployment, offering a scalable solution for complex 3D environments. As a rising star in computer vision, Dr. Sun’s work is poised to influence future developments in autonomous systems, where efficient and unified understanding of 3D data is paramount.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
A Unified Query-based Paradigm for Point Cloud Understanding
3 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago