Feifan Lv
Papers
1
Total Citations
45
H-Index
1
About
Feifan Lv is a researcher making impactful strides in computer vision, with a primary focus on real-time semantic segmentation—a critical technology for autonomous driving, robotics, and other industrial applications. His most notable contribution is the development of the Multiply Spatial Fusion Network, introduced in his highly cited 2019 paper (45 citations). This work tackles the fundamental challenge of balancing computational efficiency with high-performance segmentation, proposing an innovative CNN architecture that effectively fuses multi-scale spatial information. By enabling faster and more accurate scene understanding, Lv’s research directly supports the deployment of vision systems in real-world, latency-sensitive environments. His work is recognized for its practical significance, bridging the gap between theoretical model design and industrial deployment needs. With growing citation impact, Feifan Lv continues to advance the frontier of efficient visual perception, offering solutions that are both academically rigorous and industrially relevant.
Research Focus
Key Achievements
Top Papers
- 1Real-Time Semantic Segmentation via Multiply Spatial Fusion Network45 citations · 2019