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David Stutz
David Stutz
Research Scientist, DeepMind
在 deepmind.com 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Superpixels: An evaluation of the state-of-the-art
D Stutz, A Hermans, B Leibe
Computer Vision and Image Understanding 166, 1-27, 2018
5662018
Disentangling adversarial robustness and generalization
D Stutz, M Hein, B Schiele
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
2952019
Understanding convolutional neural networks
D Stutz
Seminar Report, Visual Computing Institute, RWTH Aachen University, 2014
266*2014
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
2402018
Confidence-calibrated adversarial training: Generalizing to unseen attacks
D Stutz, M Hein, B Schiele
International Conference on Machine Learning, 9155-9166, 2020
1402020
Learning 3D Shape Completion Under Weak Supervision
D Stutz, A Geiger
International Journal of Computer Vision, 2018
1012018
Adversarial training against location-optimized adversarial patches
S Rao, D Stutz, B Schiele
European conference on computer vision, 429-448, 2020
842020
Relating adversarially robust generalization to flat minima
D Stutz, M Hein, B Schiele
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
562021
Learning optimal conformal classifiers
D Stutz, AT Cemgil, A Doucet
arXiv preprint arXiv:2110.09192, 2021
532021
Superpixel segmentation: An evaluation
D Stutz
Pattern Recognition: 37th German Conference, GCPR 2015, Aachen, Germany …, 2015
472015
Bit error robustness for energy-efficient dnn accelerators
D Stutz, N Chandramoorthy, M Hein, B Schiele
Proceedings of Machine Learning and Systems 3, 569-598, 2021
372021
Superpixel segmentation using depth information
D Stutz
RWTH Aachen University, Aachen, Germany, 2014
252014
Capabilities of gemini models in medicine
K Saab, T Tu, WH Weng, R Tanno, D Stutz, E Wulczyn, F Zhang, ...
arXiv preprint arXiv:2404.18416, 2024
172024
Robustifying token attention for vision transformers
Y Guo, D Stutz, B Schiele
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
162023
Improving robustness by enhancing weak subnets
Y Guo, D Stutz, B Schiele
European Conference on Computer Vision, 320-338, 2022
142022
Learning Shape Completion from Bounding Boxes with CAD Shape Priors
D Stutz
RWTH Aachen University, 2017
142017
Random and adversarial bit error robustness: Energy-efficient and secure DNN accelerators
D Stutz, N Chandramoorthy, M Hein, B Schiele
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (3), 3632-3647, 2022
132022
Neural Codes for Image Retrieval
D Stutz
Seminar Report, Visual Computing Institute, RWTH Aachen University, 2015
122015
Improving robustness of vision transformers by reducing sensitivity to patch corruptions
Y Guo, D Stutz, B Schiele
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
92023
Introduction to Neural Networks
D Stutz
Seminar Report, Human Language Technology and Pattern Recognition Group …, 2014
82014
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