Kristen Grauman Awarded J.K. Aggarwal Prize for Image Matching Research

Texas Computer science professor Kristen Grauman is the recipient of the 2018 J.K. Aggarwal Prize from the International Association for Pattern Recognition (IAPR) for her contributions to the field of image matching and retrieval.

Grauman researches computer vision, a field of computer science using machine learning and image processing to make artificially-intelligent systems “understand” images and video. 

The prize is intended to recognize young scientists under the age of 40 whose research has made a significant impact on a field relevant to IAPR. This is the seventh J.K. Aggarwal Prize, and it has been awarded every other year since 2006. The prize is given in honor of professor J.K. Aggarwal for his work in pattern recognition and for his participation in IAPR.

The prize was presented to Grauman during the 24th International Conference on Pattern Recognition (ICPR) in Beijing, China on August 20-24. Prize recipients present an invited talk at the conference and contribute to a special issue of the Pattern Recognition Letters journal.