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Alexander Bartler
Alexander Bartler
Research Engineer - Autonomous Driving
Bestätigte E-Mail-Adresse bei de.bosch.com
Titel
Zitiert von
Zitiert von
Jahr
Automated Detection of Solar Cell Defects with Deep Learning
A Bartler, L Mauch, B Yang, M Reuter, L Stoicescu
2018 26th European Signal Processing Conference (EUSIPCO), 2035-2039, 2018
782018
Mt3: Meta test-time training for self-supervised test-time adaption
A Bartler, A Bühler, F Wiewel, M Döbler, B Yang
International Conference on Artificial Intelligence and Statistics, 3080-3090, 2022
532022
Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation
RA Marsden, A Bartler, M Döbler, B Yang
arXiv preprint arXiv:2105.02001, 2021
202021
Anomaly Detection Based on Selection and Weighting in Latent Space
Y Liao, A Bartler, B Yang
2021 IEEE 17th International Conference on Automation Science and …, 2021
112021
Ttaps: Test-time adaption by aligning prototypes using self-supervision
A Bartler, F Bender, F Wiewel, B Yang
2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
52022
Grad-LAM: Visualization of Deep Neural Networks for Unsupervised Learning
A Bartler, D Hinderer, B Yang
2020 28th European Signal Processing Conference (EUSIPCO), 1407-1411, 2021
52021
Prompt tuning for parameter-efficient medical image segmentation
M Fischer, A Bartler, B Yang
Medical Image Analysis 91, 103024, 2024
42024
Image Preprocessing for Outdoor Luminescence Inspection of Large Photovoltaic Parks
P Kölblin, A Bartler, M Füller
Energies 14 (9), 2508, 2021
42021
Training Variational Autoencoders with Discrete Latent Variables Using Importance Sampling
A Bartler, F Wiewel, L Mauch, B Yang
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
32019
Prediction of FDG uptake in Lung Tumors from CT Images Using Generative Adversarial Networks
A Liebgott, D Hindere, K Armanious, A Bartler, K Nikolaou, S Gatidis, ...
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
22019
Dirichlet Prior Networks for Continual Learning
F Wiewel, A Bartler, B Yang
2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
12022
Estimation of Bivariate Structural Causal Models by Variational Gaussian Process Regression Under Likelihoods Parametrised by Normalising Flows
N Reick, F Wiewel, A Bartler, B Yang
arXiv preprint arXiv:2109.02521, 2021
12021
Verbundvorhaben: Entwicklung effizienter Solarparküberwachung und systematische Untersuchung der Ausfallwahrscheinlichkeit (PARK); Teilvorhaben:" Bildauswertung und …
P Kölblin, T Kropp, MB Schubert, A Bartler, M Reuter, L Stoicescu, ...
Universität Stuttgart, Institut für Photovoltaik, 2020
2020
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