A second-year Master AI student at the University of Amsterdam, Piyush Bagad, has made history by publishing a paper at Computer Vision and Pattern Recognition (CVPR), the world’s most prestigious AI conference. This is the first time a Master AI student from UvA has published at CVPR, which is currently the fourth most cited scientific publication in the world. Bagad’s paper explores the question of whether video-language foundation models have a sense of time, and proposes a method to instill this sense into the model without re-training it completely from scratch. Bagad is a recipient of the Amsterdam Merit Scholarship and has been selected as an ELLIS Honors Student to pursue his Master’s thesis in collaboration with Prof. Andrew Zisserman at the University of Oxford.