Research
// areas of focus
01
Computational Imaging
Developing algorithms that leverage frequency domain representations to extract richer information from camera sensor data, enabling more robust perception in challenging conditions.
02
Computer Vision
Bird's-eye-view perception and map segmentation from multi-camera setups. Transforming perspective images into top-down semantic maps for autonomous navigation.
03
Machine Learning
Novel data augmentation strategies operating in the frequency domain. Designing training procedures that improve model generalization without additional data collection.
04
Autonomous Driving
End-to-end perception systems for self-driving vehicles. Camera-only approaches that achieve competitive performance with LiDAR-based methods at lower cost.