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Frederik Pahde
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Cited by
Year
Multimodal Prototypical Networks for Few-shot Learning
F Pahde, M Puscas, T Klein, M Nabi
WACV 2021, 2020
262020
Cross-modal Hallucination for Few-shot Fine-grained Recognition
F Pahde, P Jähnichen, T Klein, M Nabi
CVPR 2018 Workshop on Fine-grained Visual Categorization, 2018
182018
Discriminative hallucination for multi-modal few-shot learning
F Pahde, M Nabi, T Klein, P Jahnichen
2018 25th IEEE International Conference on Image Processing (ICIP), 156-160, 2018
142018
Self Paced Adversarial Training for Multimodal Few-shot Learning
F Pahde, O Ostapenko, P Jähnichen, T Klein, M Nabi
WACV 2019, 2018
112018
Low-Shot Learning from Imaginary 3D Model
F Pahde, M Puscas, J Wolff, T Klein, N Sebe, M Nabi
WACV 2019, 2019
82019
PatClArC: Using Pattern Concept Activation Vectors for Noise-Robust Model Debugging
F Pahde, L Weber, CJ Anders, W Samek, S Lapuschkin
arXiv preprint arXiv:2202.03482, 2022
12022
Self-paced adversarial training for multimodal and 3D model few-shot learning
F Pahde, O Ostapenko, T Klein, M Nabi, M Puscas
US Patent 10,990,848, 2021
12021
Optimizing Explanations by Network Canonization and Hyperparameter Search
F Pahde, GÜ Yolcu, A Binder, W Samek, S Lapuschkin
arXiv preprint arXiv:2211.17174, 2022
2022
Low-shot learning from imaginary 3D model
F Pahde, M Puscas, M Nabi, T Klein
US Patent 11,080,560, 2021
2021
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