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David Ferstl
David Ferstl
Director, Principal Research Engineer at MagicLeap
Verified email at magicleap.com
Title
Cited by
Cited by
Year
Image Guided Depth Upsampling using Anisotropic Total Generalized Variation
D Ferstl, C Reinbacher, R Ranftl, M Rüther, H Bischof
Computer Vision (ICCV), 2013 IEEE International Conference on, 1-8, 2013
6242013
Semi-supervised semantic segmentation with pixel-level contrastive learning from a class-wise memory bank
I Alonso, A Sabater, D Ferstl, L Montesano, AC Murillo
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
2552021
Variational Depth Superresolution using Example-Based Edge Representations
D Ferstl, M Rüther, H Bischof
IEEE International Conference on Computer Vision, 2015
1062015
A Deep Primal-Dual Network for Guided Depth Super-Resolution
G Riegler, D Ferstl, R Matthias, H Bischof
British Machine Vision Conference, 2016
962016
Hough networks for head pose estimation and facial feature localization
G Riegler, D Ferstl, M Rüther, H Bischof
Journal of Computer Vision 101 (3), 437-458, 2013
442013
Domain adaptation for semantic segmentation via patch-wise contrastive learning
W Liu, D Ferstl, S Schulter, L Zebedin, P Fua, C Leistner
arXiv preprint arXiv:2104.11056, 2021
382021
Learning Depth Calibration of Time-of-Flight Cameras
D Ferstl, C Reinbacher, G Riegler, M Rüther, H Bischof
British Machine Vision Conference (BMVC), 2015
352015
CP-Census: A Novel Model for Dense Variational Scene Flow from RGB-D Data
D Ferstl, G Riegler, M Ruether, H Bischof
British Machine Vision Conference, 2014
152014
A framework for articulated hand pose estimation and evaluation
G Riegler, D Ferstl, M Rüther, H Bischof
Image Analysis: 19th Scandinavian Conference, SCIA 2015, Copenhagen, Denmark …, 2015
142015
Depth data fusion for simultaneous localization and mapping—RGB-DD SLAM
K Walas, M Nowicki, D Ferstl, P Skrzypczyński
2016 IEEE international conference on multisensor fusion and integration for …, 2016
92016
aTGV-SF: Dense Variational Scene Flow through Projective Warping and Higher Order Regularization
D Ferstl, C Reinbacher, G Riegler, M Rüther, H Bischof
International Conference on 3D Vision, 2014
92014
Pseudo flow consistency for self-supervised 6d object pose estimation
Y Hai, R Song, J Li, D Ferstl, Y Hu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
82023
Multi-Modality Depth Map Fusion using Primal-Dual Optimization
D Ferstl, R Ranftl, M Rüther, H Bischof
Computational Photography (ICCP), 2013 IEEE International Conference on, 1-8, 2013
72013
Depth coded shape from focus
M Lenz, D Ferstl, M Rüther, H Bischof
Computational Photography (ICCP), 2012 IEEE International Conference on, 1-8, 2012
42012
Integral Shape from Focus
D Ferstl, M Lenz, M Rüther, H Bischof
Computer Vision Winter Workshop 2012, 8, 2012
22012
Real-Time Hand Gesture Recognition in a Virtual 3D Environment
D Ferstl, M Rüther, H Bischof
German and Austrian Association for Pattern Recognition (DAGM), Computer …, 2012
22012
Free-Moving Object Reconstruction and Pose Estimation with Virtual Camera
H Shi, Y Hu, D Koguciuk, JT Lin, M Salzmann, D Ferstl
arXiv preprint arXiv:2405.05858, 2024
2024
MedEyeTrac-a System for optical Monitoring of Eye Positions in tomographic Imaging and Radiotherapy of Eye Tumors
P Winkler, M Rüther, D Ferstl, R Flitsch, T Konrad, W Wackernagel, ...
Strahlentherapie und Onkologie 190, 119-119, 2014
2014
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