Eunjin Son
Papers
1
Total Citations
9
H-Index
1
About
Eunjin Son is a rising researcher in computer vision and autonomous systems, whose work focuses on monocular depth estimation—a critical task for enabling machines to perceive three-dimensional space from a single image. Her most-cited paper, "Monocular Depth Estimation from a Fisheye Camera Based on Knowledge Distillation" (2023, 9 citations), tackles a pressing challenge in real-world perception: accurately predicting pixel-level distances from wide-angle fisheye cameras, which are essential for collision avoidance in autonomous driving and robotics. By leveraging knowledge distillation, Son’s approach efficiently transfers depth cues from a complex teacher model to a lightweight student network, balancing accuracy with computational practicality. This contribution addresses the distortion and limited field-of-view issues inherent to fisheye lenses, advancing robust environmental understanding. Though early in her career, Son’s work has already garnered attention for its practical relevance, bridging the gap between theoretical depth estimation and deployment in resource-constrained systems. Her research holds promise for safer, more perceptive autonomous agents, marking her as a notable emerging voice in the field.
Research Focus
Key Achievements
Top Papers
- 1