Alexander Bartler

17 papers A 1B 3Journal 8Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Bosch Street Dataset: A Multi-Modal Dataset with Imaging Radar for Automated Driving. CoRR 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
2024	J	`jnl`	Prompt tuning for parameter-efficient medical image segmentation. Medical Image Anal. Marc Fischer, Alexander Bartler, Bin Yang
2022	B	`conf`	Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation. IJCNN Robert A. Marsden, Alexander Bartler, Mario Döbler, Bin Yang
2022	B	`conf`	Dirichlet Prior Networks for Continual Learning. IJCNN Felix Wiewel, Alexander Bartler, Bin Yang
2022	A	`conf`	MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption. AISTATS Alexander Bartler, Andre Bühler, Felix Wiewel, Mario Döbler, Bin Yang
2022	J	`jnl`	Prompt Tuning for Parameter-efficient Medical Image Segmentation. CoRR Marc Fischer, Alexander Bartler, Bin Yang
2022	B	`conf`	TTAPS: Test-Time Adaption by Aligning Prototypes using Self-Supervision. IJCNN Alexander Bartler, Florian Bender, Felix Wiewel, Bin Yang
2022	J	`jnl`	TTAPS: Test-Time Adaption by Aligning Prototypes using Self-Supervision. CoRR Alexander Bartler, Florian Bender, Felix Wiewel, Bin Yang
2021	—	`conf`	Anomaly Detection Based on Selection and Weighting in Latent Space. CASE Yiwen Liao, Alexander Bartler, Bin Yang
2021	J	`jnl`	Anomaly Detection Based on Selection and Weighting in Latent Space. CoRR Yiwen Liao, Alexander Bartler, Bin Yang
2021	J	`jnl`	Contrastive Learning and Self-Training for Unsupervised Domain Adaptation in Semantic Segmentation. CoRR Robert A. Marsden, Alexander Bartler, Mario Döbler, Bin Yang
2021	J	`jnl`	Estimation of Bivariate Structural Causal Models by Variational Gaussian Process Regression Under Likelihoods Parametrised by Normalising Flows. CoRR Nico Reick, Felix Wiewel, Alexander Bartler, Bin Yang
2021	J	`jnl`	MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption. CoRR Alexander Bartler, Andre Bühler, Felix Wiewel, Mario Döbler, Bin Yang
2020	—	`conf`	Grad-LAM: Visualization of Deep Neural Networks for Unsupervised Learning. EUSIPCO Alexander Bartler, Darius Hinderer, Bin Yang
2019	—	`conf`	Prediction of FDG uptake in Lung Tumors from CT Images Using Generative Adversarial Networks. EUSIPCO Annika Liebgott, Darius Hinderer, Karim Armanious, Alexander Bartler, Konstantin Nikolaou, Sergios Gatidis, Bin Yang
2019	—	`conf`	Training Variational Autoencoders with Discrete Latent Variables Using Importance Sampling. EUSIPCO Alexander Bartler, Felix Wiewel, Lukas Mauch, Bin Yang
2018	—	`conf`	Automated Detection of Solar Cell Defects with Deep Learning. EUSIPCO Alexander Bartler, Lukas Mauch, Bin Yang, Michael Reuter, Liviu Stoicescu