David Ferman


David Ferman is a Deep Learning / Computer Vision researcher, currently working at Flawless AI, with supervision from Pablo Garrido, PhD. His current work focuses on 2D/3D facial landmark detection, facial semantic parsing, transformer/attention-based computer vision techniques, and multi-dataset/domain learning. He has previously worked as a Research Engineer at AI Foundation under supervision from Gaurav Bharaj, PhD, as Senior Machine Learning Engineer at Doma , and obtained his M.S. in Computer Science from UT Austin.


David also previously worked as an illusion show producer, after being a finalist on America's Got Talent and a world champion/record-holding juggler.


Email / LinkedIn

David Ferman

Publications

Few-shot Geometry-Aware Keypoint Localization Few-shot Geometry-Aware Keypoint Localization
Xingzhe He, Gaurav Bharaj, David Ferman, Helge Rhodin, Pablo Garrido
Computer Vision and Pattern Recognition (CVPR), 2023
Multi-Domain Multi-Definition Landmark Localization Multi-Domain Multi-Definition Landmark Localization for Small Datasets
David Ferman, Gaurav Bharaj
European Conference on Computer Vision (ECCV), 2022
Generative Landmarks Generative Landmarks
David Ferman, Gaurav Bharaj
Eurographics (Computer Graphics Forum) Poster, 2021