Jakob Gawlikowski

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 18

Top Topics

Detect Anomalies

Scene Classification

Top Venues

Artif. Intell. Rev.

IEEE Trans. Geosci. Remote. Sens.

Publications

Ferdinand Rewicki, Jakob Gawlikowski, Julia Niebling, Joachim Denzler
Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-regenerative Life Support System Telemetry. CoRR (2024)
Nis Meinert, Jakob Gawlikowski, Alexander Lavin
The Unreasonable Effectiveness of Deep Evidential Regression. AAAI (2023)
Jakob Gawlikowski, Sudipan Saha, Julia Niebling, Xiao Xiang Zhu
Handling unexpected inputs: incorporating source-wise out-of-distribution detection into SAR-optical data fusion for scene classification. EURASIP J. Adv. Signal Process. 2023 (1) (2023)
Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, Jongseok Lee, Matthias Humt, Jianxiang Feng, Anna M. Kruspe, Rudolph Triebel, Peter Jung, Ribana Roscher, Muhammad Shahzad, Wen Yang, Richard Bamler, Xiaoxiang Zhu
A survey of uncertainty in deep neural networks. Artif. Intell. Rev. 56 (S1) (2023)
Jakob Gawlikowski, Sudipan Saha, Julia Niebling, Xiao Xiang Zhu
Robust Distribution-Shift Aware Sar-Optical data Fusion for Multi-Label Scene Classification. IGARSS (2022)
Frank Nussbaum, Jakob Gawlikowski, Julia Niebling
Structuring Uncertainty for Fine-Grained Sampling in Stochastic Segmentation Networks. NeurIPS (2022)
Jakob Gawlikowski, Sudipan Saha, Anna M. Kruspe, Xiao Xiang Zhu
An Advanced Dirichlet Prior Network for Out-of-Distribution Detection in Remote Sensing. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Ferdinand Rewicki, Jakob Gawlikowski
Estimating Uncertainty of Deep Learning Multi-Label Classifications Using Laplace Approximation. IGARSS (2022)
Nis Meinert, Jakob Gawlikowski, Alexander Lavin
The Unreasonable Effectiveness of Deep Evidential Regression. CoRR (2022)
Sandeep Kumar Singh, Jaya Shradha Fowdur, Jakob Gawlikowski, Daniel Medina
Leveraging Graph and Deep Learning Uncertainties to Detect Anomalous Maritime Trajectories. IEEE Trans. Intell. Transp. Syst. 23 (12) (2022)
Jakob Gawlikowski, Patrick Ebel, Michael Schmitt, Xiao Xiang Zhu
Explaining the Effects of Clouds on Remote Sensing Scene Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (2022)
Cedrique Rovile Njieutcheu Tassi, Jakob Gawlikowski, Auliya Unnisa Fitri, Rudolph Triebel
The impact of averaging logits over probabilities on ensembles of neural networks. AISafety@IJCAI (2022)
Sudipan Saha, Jakob Gawlikowski, Jay Nandy, Xiao Xiang Zhu
Compact Feature Representation for Unsupervised Ood Detection. IGARSS (2022)
Jakob Gawlikowski, Sudipan Saha, Anna M. Kruspe, Xiao Xiang Zhu
Out-of-distribution detection in satellite image classification. CoRR (2021)
Jakob Gawlikowski, Sudipan Saha, Anna M. Kruspe, Xiao Xiang Zhu
Towards Out-of-Distribution Detection for Remote Sensing. IGARSS (2021)
Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, Jongseok Lee, Matthias Humt, Jianxiang Feng, Anna M. Kruspe, Rudolph Triebel, Peter Jung, Ribana Roscher, Muhammad Shahzad, Wen Yang, Richard Bamler, Xiao Xiang Zhu
A Survey of Uncertainty in Deep Neural Networks. CoRR (2021)
Sandeep Kumar Singh, Jaya Shradha Fowdur, Jakob Gawlikowski, Daniel Medina
Leveraging Evidential Deep Learning Uncertainties with Graph-based Clustering to Detect Anomalies. CoRR (2021)
Jakob Gawlikowski, Michael Schmitt, Anna M. Kruspe, Xiaoxiang Zhu
On the Fusion Strategies of Sentinel-1 and Sentinel-2 Data for Local Climate Zone Classification. IGARSS (2020)