Pavel Korshunov

Pavel Korshunov is a researcher at Idiap Research Institute, Switzerland, working on detection of audio-visual inconsistencies and deepfakes. Previously, he worked on problems related to high-dynamic range imaging, crowdsourcing, and visual privacy. He received a PhD from National University of Singapore and MSc from St. Petersburg State University, Russia. He has over 70 research papers with several best paper awards and is a co-editor of JPEG XT standard.

projects by Pavel Korshunov

Detecting Deepfakes Using Visual Inconsistencies

3 weeks · 6-10 hours per week average · INTERMEDIATE

In this series of liveProjects, you’ll step into the role of a forensics consultant. You’re investigating a ring of cyber criminals who are blackmailing prominent social media personalities with scandalous “deepfake” videos. These videos use a deep learning model to splice a victim’s face onto an actor, creating highly realistic content that can be indistinguishable from the real thing. Your boss wants you to develop a method to efficiently detect these deepfakes from a huge data set of online videos. The method needs to be fast, and also run without needing GPU resources, which are in short supply. Each project in this series covers a different aspect of developing this deepfake detecting solution, with essential computer vision and machine learning skills you can easily transfer to other tasks.