Sergey Tulyakov

Principal Research Scientist

Research Areas Computer Vision, Machine Learning, Deep Learning

Sergey Tulyakov is a Principal Research Scientist heading the Creative Vision team at Snap Research. His work focuses on creating methods for manipulating the world via computer vision and machine learning. This includes style transfer, photorealistic object manipulation and animation, video synthesis, prediction and retargeting. His work has been published as 20+ top conference papers, journals and patents resulting in multiple tech transfers, including Snapchat Pet Tracking, OurBaby Snappable and Real-time Neural Lenses (gender swap, baby face) and others. Before joining Snap Inc., Sergey was with Carnegie Mellon University, Microsoft, NVIDIA. He holds a PhD degree from the University of Trento, Italy.

Publications