Max Welling, professor of computer science, has been awarded European Conference on Computer Vision’s Koenderink Prize in recognition of his computer vision research paper that has “withstood the test of time.” Entitled “Unsupervised Learning of Models for Recognition,” the paper was originally published in 2000. The research paper presents a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition.