Moritz Böhle

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 19

Top Topics

Telecommunication Networks

Image Alignment

Benchmark Datasets

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Sukrut Rao, Sweta Mahajan, Moritz Böhle, Bernt Schiele
Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. CoRR (2024)
Moritz Böhle, Navdeeppal Singh, Mario Fritz, Bernt Schiele
B-Cos Alignment for Inherently Interpretable CNNs and Vision Transformers. IEEE Trans. Pattern Anal. Mach. Intell. 46 (6) (2024)
Amin Parchami-Araghi, Moritz Böhle, Sukrut Rao, Bernt Schiele
Good Teachers Explain: Explanation-Enhanced Knowledge Distillation. CoRR (2024)
Sukrut Rao, Moritz Böhle, Bernt Schiele
Better Understanding Differences in Attribution Methods via Systematic Evaluations. IEEE Trans. Pattern Anal. Mach. Intell. 46 (6) (2024)
Sukrut Rao, Moritz Böhle, Bernt Schiele
Better Understanding Differences in Attribution Methods via Systematic Evaluations. CoRR (2023)
Moritz Böhle, Navdeeppal Singh, Mario Fritz, Bernt Schiele
B-cos Alignment for Inherently Interpretable CNNs and Vision Transformers. CoRR (2023)
Anna Kukleva, Moritz Böhle, Bernt Schiele, Hilde Kuehne, Christian Rupprecht
Temperature Schedules for self-supervised contrastive methods on long-tail data. ICLR (2023)
Moritz Böhle, Mario Fritz, Bernt Schiele
Optimising for Interpretability: Convolutional Dynamic Alignment Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Anna Kukleva, Moritz Böhle, Bernt Schiele, Hilde Kuehne, Christian Rupprecht
Temperature Schedules for Self-Supervised Contrastive Methods on Long-Tail Data. CoRR (2023)
Moritz Böhle, Mario Fritz, Bernt Schiele
Holistically Explainable Vision Transformers. CoRR (2023)
Sukrut Rao, Moritz Böhle, Amin Parchami-Araghi, Bernt Schiele
Studying How to Efficiently and Effectively Guide Models with Explanations. ICCV (2023)
Sukrut Rao, Moritz Böhle, Amin Parchami-Araghi, Bernt Schiele
Using Explanations to Guide Models. CoRR (2023)
Sukrut Rao, Moritz Böhle, Bernt Schiele
Towards Better Understanding Attribution Methods. CVPR (2022)
Moritz Böhle, Mario Fritz, Bernt Schiele
B-cos Networks: Alignment is All We Need for Interpretability. CVPR (2022)
Sukrut Rao, Moritz Böhle, Bernt Schiele
Towards Better Understanding Attribution Methods. CoRR (2022)
Moritz Böhle, Mario Fritz, Bernt Schiele
B-cos Networks: Alignment is All We Need for Interpretability. CoRR (2022)
Moritz Böhle, Mario Fritz, Bernt Schiele
Optimising for Interpretability: Convolutional Dynamic Alignment Networks. CoRR (2021)
Moritz Böhle, Mario Fritz, Bernt Schiele
Convolutional Dynamic Alignment Networks for Interpretable Classifications. CVPR (2021)
Moritz Böhle, Mario Fritz, Bernt Schiele
Convolutional Dynamic Alignment Networks for Interpretable Classifications. CoRR (2021)