Jilliam Maria Diaz Barros
|Phone:||+49 631 20575-3650|
Jilliam Díaz completed her Bachelor degree in Electronics Engineering in 2010 at Universidad del Norte, Colombia, with a dissertation in coordination mechanisms in multi-agent systems for target location. She also participated at the Young Researcher program of the Administrative Department of Science, Technology and Innovation -Colciencias- in Colombia, in a project related to intelligent classification of patients during the postoperative period, using neural networks.
She received her Master degree in Computer Vision at the University of Burgundy, France. Her thesis was related to real-time 3D human pose estimation from point clouds and was done at the Laboratoire Electronique, Informatique et Image -Le2i- in collaboration with the Interdisciplinary Centre for Security, Reliability and Trust -SnT-, of the University of Luxembourg.
Jilliam is currently a PhD Research Trainee at the Augmented Vision group at DFKI.
Her main research interests are in the areas of computer vision and machine learning.
CONFIDENCE-AWARE CLUSTERED LANDMARK FILTERING FOR HYBRID 3D FACE TRACKING
In: IEEE (Hrsg.). Proceedings of the 30th ICIP. IEEE International Conference on Image Processing (ICIP-2023), October 8-11, Kuala Lumpur, Malaysia, IEEE, 2023.
Face It!: A Pipeline for Real-Time Performance-Driven Facial Animation
IEEE (Hrsg.). 25th. IEEE International Conference on Image Processing (ICIP-2019) September 22-25 Taipei Taiwan ISBN 978-1-5386-6249-6 IEEE 2019 .
Fusion of Keypoint Tracking and Facial Landmark Detection for Real-Time Head Pose Estimation
IEEE Winter Conference on Applications of Computer Vision (WACV-18), March 12-15, Lake Tahoe, NV/CA, USA
Combined Framework for Real-Time Head Pose Estimation using Facial Landmark Detection and Salient Feature Tracking
International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP-2018), January 27-29, Funchal, Madeira, Portugal
Real-time monocular 6-DOF head pose estimation from salient 2D points
IEEE International Conference on Image Processing (ICIP) IEEE International Conference on Image Processing (ICIP-2017), September 17-20, Beijing, China