David Stutz
TitleCited byYear
Superpixels: An evaluation of the state-of-the-art
D Stutz, A Hermans, B Leibe
Computer Vision and Image Understanding 166, 1-27, 2018
1222018
Understanding convolutional neural networks
D Stutz
Seminar Report, Visual Computing Institute, RWTH Aachen University, 2014
63*2014
Superpixel segmentation: an evaluation
D Stutz
German Conference on Pattern Recognition, 555-562, 2015
232015
Learning 3d shape completion from laser scan data with weak supervision
D Stutz, A Geiger
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
222018
Superpixel segmentation using depth information
D Stutz
RWTH Aachen University, Aachen, Germany, 2014
202014
Learning 3D Shape Completion Under Weak Supervision
D Stutz, A Geiger
International Journal of Computer Vision, 2018
102018
Disentangling adversarial robustness and generalization
D Stutz, M Hein, B Schiele
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
92019
Introduction to Neural Networks
D Stutz
Seminar Report, Human Language Technology and Pattern Recognition Group …, 2014
52014
Learning Shape Completion from Bounding Boxes with CAD Shape Priors
D Stutz
RWTH Aachen University, 2017
32017
Neural Codes for Image Retrieval
D Stutz
Seminar Report, Visual Computing Institute, RWTH Aachen University, 2015
22015
iPiano: Inertial Proximal Algorithm for Non-Convex Optimization
D Stutz
Seminar Report, Aachen Institute for Advanced Study in Computational …, 2016
2016
Supplementary Material for Disentangling Adversarial Robustness and Generalization
D Stutz, M Hein, B Schiele
Supplementary Material for Learning 3D Shape Completion from Laser Scan Data with Weak Supervision
D Stutz, A Geiger
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Articles 1–13