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Alexei A. Efros
Adjunct Faculty, RI
Email:
Office: NSH 4000B
Phone: (412) 268-3818
  Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213

News and Media
 
The Look of Paris: Visual Data Mining of Google Street View
August 07, 2012. Paris is one of those cities that has a look all its own, something that goes beyond landmarks such as the Eiffel Tower or Notre Dame. Researchers at Carnegie Mellon University and INRIA/Ecole Normale Supérieure in Paris have developed visual data mining software that can automatically detect these sometimes subtle features, such as street signs, streetlamps and balcony railings, that give Paris and other cities a distinctive look.
Robotics Institute Creates Method for Cross-Domain Image Matching
December 06, 2011. Computers can mimic the human ability to find visually similar images, such as photographs of a fountain in summer and in winter, or a photograph and a painting of the same cathedral, by using a technique that analyzes the uniqueness of images, say researchers at Carnegie Mellon University’s School of Computer Science. The research team found that its surprisingly simple technique performed well on a number of visual tasks that normally stump computers, including matching sketches of automobiles with photographs of cars.
Efros Featured on NOVA Website
February 10, 2011. PBS's NOVA science series has posted a video summarizing some of the challenges facing computer vision researchers on its website. Alexei Efros, associate professor of robotics and computer science, is interviewed.
Block-Based Method Helps Computers Decipher Outdoor Scenes
September 09, 2010. Computer vision systems can struggle to make sense of a single image, but a new method devised by computer scientists at Carnegie Mellon University enables computers to gain a deeper understanding of an image by reasoning about the physical constraints of the scene.