Semantic bottlenecks: Quantifying and improving inspectability of deep representations M Losch, M Fritz, B Schiele International Journal of Computer Vision 129, 3136-3153, 2021 | 91* | 2021 |
Visual pathways from the perspective of cost functions and multi-task deep neural networks HS Scholte, MM Losch, K Ramakrishnan, EHF de Haan, SM Bohte cortex 98, 249-261, 2018 | 33 | 2018 |
Detection and segmentation of brain metastases with deep convolutional networks M Losch | 17 | 2015 |
Analyzing the dependency of ConvNets on spatial information Y Fan, Y Xian, MM Losch, B Schiele Pattern Recognition: 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen …, 2021 | 7 | 2021 |
Overlap in performance of CNN's, human behavior and EEG classification N Seijdel, K Ramakrishnan, M Losch, S Scholte Journal of Vision 16 (12), 501-501, 2016 | 6 | 2016 |
On Adversarial Training without Perturbing all Examples M Losch, M Omran, D Stutz, M Fritz, B Schiele International Conference on Learning Representations (ICLR), 2024 | 3 | 2024 |
Certified robust models with slack control and large Lipschitz constants M Losch, D Stutz, B Schiele, M Fritz DAGM German Conference on Pattern Recognition, 574-588, 2023 | 3 | 2023 |
Berlin United-FUmanoids Team Description Paper 2012 D Seifert, S Otte, J Kulick, N Schmude, L Dohrmann, S Heinrich, ... January, 2015 | 2 | 2015 |