Papers
2
Total Citations
105
H-Index
2
About
Xinge You is a leading researcher in computer vision and autonomous systems, with a core focus on trajectory prediction—a critical capability for self-driving cars, robot navigation, and intelligent surveillance. His work addresses the fundamental challenge of forecasting agents’ future paths by integrating visual context with behavioral cues. You’s highly cited 2022 paper, “View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums” (70 citations), introduced a novel Fourier-based hierarchical framework that captures both global motion patterns and local dynamics, significantly improving prediction accuracy. He further advanced the field with “MSN: Multi-Style Network for Trajectory Prediction” (2023, 35 citations), which models the diverse internal personality factors and driving styles that cause agents to behave differently in identical scenes—a key insight for realistic prediction. By bridging spectral analysis with multi-style modeling, You has provided foundational tools for safer, more adaptive autonomous platforms. His work is widely cited in top venues and directly influences practical systems requiring robust, context-aware forecasting.
Research Focus
Key Achievements
Top Papers
- 1
- 2MSN: Multi-Style Network for Trajectory Prediction35 citations · 2023