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 | 97 | 2018 |
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 | 68 | 2022 |
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 | 23 | 2021 |
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 | 14 | 2021 |
Prompt tuning for parameter-efficient medical image segmentation M Fischer, A Bartler, B Yang Medical Image Analysis 91, 103024, 2024 | 10 | 2024 |
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 | 7 | 2022 |
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 | 7 | 2021 |
Image Preprocessing for Outdoor Luminescence Inspection of Large Photovoltaic Parks P Kölblin, A Bartler, M Füller Energies 14 (9), 2508, 2021 | 5 | 2021 |
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 | 3 | 2019 |
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 | 3 | 2019 |
Dirichlet Prior Networks for Continual Learning F Wiewel, A Bartler, B Yang 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 2 | 2022 |
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 | 2 | 2021 |
Bosch Street Dataset: A Multi-Modal Dataset with Imaging Radar for Automated Driving K Armanious, M Quach, M Ulrich, T Winterling, J Friesen, S Braun, ... arXiv preprint arXiv:2407.12803, 2024 | | 2024 |
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 |