Larry Davis

Larry Davis is a Professor affiliated with the University of Maryland, College Park. His research focuses on advanced topics in Computer Vision, Machine Learning, and Pattern Recognition, with a particular emphasis on video analysis, deep learning architectures, and applications in surveillance systems. His work spans multiple domains including adversarial machine learning, efficient video recognition frameworks, and object detection techniques.

Key research areas include:

• Development of scalable video analysis models
• Advances in deep learning for computer vision tasks
• Optimization of neural network architectures
• Multi-camera person re-identification systems

His publications reflect contributions to both foundational methods (e.g., truncated Cauchy matrix factorization) and applied systems (e.g., adversarial attack mitigation on video transformers). Collaborations with researchers like Zuxuan Wu and Ramani Duraiswami highlight his interdisciplinary approach to solving complex visual recognition challenges.