Computer Vision Research Group
Develop novel computationally efficient computer vision algorithms for visual understanding, forensic analysis, real/fake image/video detection, and AI-assisted healthcare.
Research Focus Areas
- Perceptual Understanding from Images/Videos
- Efficient Object Detection
- Tracking & Trajectory Prediction
- Image & Video Segmentation
- Healthcare AI
- Visual Change Detection & Analysis
- Image Forensics & Media Provenance
- Face Recognition
This research group forms the Lehigh Computer Vision Group (LCVG) conducting basic and applied research on building robust and efficient AI systems that can perceive and reason about the visual world. Ranging from automation of traditional human tasks such as driving to the upcoming problems on the rise in misinformation, our research group leads vision research to solve complex visual recognition problems for real-world applications. From low-level visual understanding to high level learning tasks, our projects contribute innovative solutions to various facets of vision and learning-based research with additional focus on efficiency, robustness and explainability.