Pietro Perona

Pietro Perona is the Allen E. Puckett Professor of Electrical Engineering and Director, Information Science and Technology at the California Institute of Technology. He is affiliated with the Electrical Engineering department. His research focuses on vision, specifically visual recognition and categorization, with an emphasis on enabling machines to learn to recognize objects like frogs, cars, faces, and trees with minimal human supervision. He has developed projects such as Visipedia, which has led to apps like iNaturalist and Merlin Bird ID. Perona also collaborates on vision systems for studying actions and activities in fruit flies and mice, aiding geneticists and neuroethologists. His work includes studying human visual tasks and leveraging web-based visual abilities.

Pietro Perona is a researcher at the California Institute of Technology with expertise in Computer Vision, Machine Learning, Applied Mathematics, Neuroscience, and Psychology. His work focuses on developing algorithms for object recognition, visual saliency, and scene understanding. He has contributed to datasets such as Caltech-256 and Caltech-UCSD Birds-200, which are widely used in computer vision research. His publications explore topics like one-shot learning, scale-invariant learning, and Bayesian hierarchical models for natural scene categorization. Perona's research bridges computational models with biological systems, emphasizing the integration of mathematical and psychological principles in visual processing.