Pedro Felzenszwalb, Professor of Engineering and Computer Science, has just received the 2018 Longuet-Higgins Prize for fundamental contributions in computer vision. The prize recognizes a paper in Computer Vision and Pattern Recognition (CVPR) from 10 years ago, and was awarded to Felzenszwalb’s 2008 paper with David McAllester and Deva Ramanan entitled, "A Discriminatively Trained, Multiscale, Deformable Part Model."
The prize is given annually by the Technical Committee on Pattern Analysis and Machine Intelligence (TCPAMI) at the Conference on Computer Vision and Pattern Recognition, and recognizes CVPR papers from ten years ago with significant impact on computer vision research. The prize is named after theoretical chemist and cognitive scientist H. Christopher Longuet-Higgins. Winners are decided by a committee appointed by the TCPAMI Awards Committee.
The prize was first awarded in 2005, and Felzenszwalb is among a select group of repeat winners. He previously won in 2010 for his 2000 paper with Daniel P. Huttenlocher, "Efficient Matching of Pictorial Structures."