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Journal Articles
- 2024
[j1]Marc Fischer
, Alexander Bartler, Bin Yang:
Prompt tuning for parameter-efficient medical image segmentation. Medical Image Anal. 91: 103024 (2024)
Conference and Workshop Papers
- 2022
- [c9]Alexander Bartler, Andre Bühler, Felix Wiewel, Mario Döbler, Bin Yang:
MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption. AISTATS 2022: 3080-3090 - [c8]Alexander Bartler, Florian Bender, Felix Wiewel, Bin Yang:
TTAPS: Test-Time Adaption by Aligning Prototypes using Self-Supervision. IJCNN 2022: 1-8 - [c7]Robert A. Marsden, Alexander Bartler, Mario Döbler, Bin Yang:
Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation. IJCNN 2022: 1-8 - [c6]Felix Wiewel, Alexander Bartler, Bin Yang:
Dirichlet Prior Networks for Continual Learning. IJCNN 2022: 1-8 - 2021
- [c5]Yiwen Liao, Alexander Bartler, Bin Yang:
Anomaly Detection Based on Selection and Weighting in Latent Space. CASE 2021: 409-415 - 2020
- [c4]Alexander Bartler, Darius Hinderer, Bin Yang:
Grad-LAM: Visualization of Deep Neural Networks for Unsupervised Learning. EUSIPCO 2020: 1407-1411 - 2019
- [c3]Alexander Bartler, Felix Wiewel, Lukas Mauch, Bin Yang:
Training Variational Autoencoders with Discrete Latent Variables Using Importance Sampling. EUSIPCO 2019: 1-5 - [c2]Annika Liebgott, Darius Hinderer, Karim Armanious, Alexander Bartler, Konstantin Nikolaou, Sergios Gatidis, Bin Yang:
Prediction of FDG uptake in Lung Tumors from CT Images Using Generative Adversarial Networks. EUSIPCO 2019: 1-5 - 2018
- [c1]Alexander Bartler, Lukas Mauch, Bin Yang, Michael Reuter, Liviu Stoicescu:
Automated Detection of Solar Cell Defects with Deep Learning. EUSIPCO 2018: 2035-2039
Informal and Other Publications
- 2024
- [i7]Karim Armanious, Maurice Quach, Michael Ulrich, Timo Winterling, Johannes Friesen, Sascha Braun, Daniel Jenet, Yuri Feldman, Eitan Kosman, Philipp Rapp, Volker Fischer, Marc Sons, Lukas Kohns, Daniel Eckstein, Daniela Egbert, Simone Letsch, Corinna Voege, Felix Huttner, Alexander Bartler, Robert Maiwald, Yancong Lin, Ulf Rüegg, Claudius Gläser, Bastian Bischoff, Jascha Freess, Karsten Haug, Kathrin Klee, Holger Caesar:
Bosch Street Dataset: A Multi-Modal Dataset with Imaging Radar for Automated Driving. CoRR abs/2407.12803 (2024) - 2022
- [i6]Alexander Bartler, Florian Bender, Felix Wiewel, Bin Yang:
TTAPS: Test-Time Adaption by Aligning Prototypes using Self-Supervision. CoRR abs/2205.08731 (2022) - [i5]Marc Fischer, Alexander Bartler, Bin Yang:
Prompt Tuning for Parameter-efficient Medical Image Segmentation. CoRR abs/2211.09233 (2022) - 2021
- [i4]Yiwen Liao, Alexander Bartler, Bin Yang:
Anomaly Detection Based on Selection and Weighting in Latent Space. CoRR abs/2103.04662 (2021) - [i3]Alexander Bartler, Andre Bühler, Felix Wiewel, Mario Döbler, Bin Yang:
MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption. CoRR abs/2103.16201 (2021) - [i2]Robert A. Marsden, Alexander Bartler, Mario Döbler, Bin Yang:
Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation. CoRR abs/2105.02001 (2021) - [i1]Nico Reick, Felix Wiewel, Alexander Bartler, Bin Yang:
Estimation of Bivariate Structural Causal Models by Variational Gaussian Process Regression Under Likelihoods Parametrised by Normalising Flows. CoRR abs/2109.02521 (2021)
Coauthor Index
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last updated on 2024-08-25 19:15 CEST by the dblp team
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