Issam Laradji


Issam Laradji is a PhD student at the University of British Columbia and a research intern at Element AI. His main research interests are in large-scale optimization and computer vision. His recent works include state-of-the-art counting methods, weakly supervised instance segmentation, and fast optimizers for deep learning.