Biography
Research scientist at Samsung AI Cambridge. Previously, Adrian did his PhD studies at the University of Nottingham as part of the Computer Vision Laboratory under the supervision of Dr. Georgios Tzimiropoulos.
His current research interests lie at the intersection of Computer Vision and Machine Learning, with work conducted on topics such as efficient neural networks (via bit quantization and compression) and human analysis (face alignment/recognition/super-resolution and human pose estimation).
All sessions by Adrian Bulat
Efficient deep models via network binarization/quantization
30 Jul 2020
19:00-19:50
Main