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Abhinav Shrivastava
PhD Student, RI
Email:
Office: EDSH 212
Phone: (412) 268-7414
  Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Ave
Pittsburgh, PA 15213
Advisor(s):  Abhinav Gupta

News and Media
 
Computer Searches Web 24/7 To Analyze Images and Teach Itself Common Sense
November 20, 2013. A computer program called the Never Ending Image Learner (NEIL) is running 24 hours a day at Carnegie Mellon University, searching the Web for images, doing its best to understand them on its own and, as it builds a growing visual database, gathering common sense on a massive scale.
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.