Moritz Böhle - RankMe

28 papers A* 7Journal 18Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CASA: Cross-Attention via Self-Attention for Efficient Vision-Language Fusion. CoRR Moritz Böhle, Amélie Royer, Juliette Marrie, Edouard Grave, Patrick Pérez
2025	A*	`conf`	How to Probe: Simple Yet Effective Techniques for Improving Post-hoc Explanations. ICLR Siddhartha Gairola, Moritz Böhle, Francesco Locatello, Bernt Schiele
2025	J	`jnl`	How to Probe: Simple Yet Effective Techniques for Improving Post-hoc Explanations. CoRR Siddhartha Gairola, Moritz Böhle, Francesco Locatello, Bernt Schiele
2025	J	`jnl`	Vision-Speech Models: Teaching Speech Models to Converse about Images. CoRR Amélie Royer, Moritz Böhle, Gabriel de Marmiesse, Laurent Mazaré, Neil Zeghidour, Alexandre Défossez, Patrick Pérez
2024	J	`jnl`	B-Cos Alignment for Inherently Interpretable CNNs and Vision Transformers. IEEE Trans. Pattern Anal. Mach. Intell. Moritz Böhle, Navdeeppal Singh, Mario Fritz, Bernt Schiele
2024	A*	`conf`	B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable. NeurIPS Shreyash Arya, Sukrut Rao, Moritz Böhle, Bernt Schiele
2024	J	`jnl`	B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable. CoRR Shreyash Arya, Sukrut Rao, Moritz Böhle, Bernt Schiele
2024	J	`jnl`	Better Understanding Differences in Attribution Methods via Systematic Evaluations. IEEE Trans. Pattern Anal. Mach. Intell. Sukrut Rao, Moritz Böhle, Bernt Schiele
2024	—	`conf`	Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. ECCV (77) Sukrut Rao, Sweta Mahajan, Moritz Böhle, Bernt Schiele
2024	J	`jnl`	Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. CoRR Sukrut Rao, Sweta Mahajan, Moritz Böhle, Bernt Schiele
2024	—	`conf`	Good Teachers Explain: Explanation-Enhanced Knowledge Distillation. ECCV (73) Amin Parchami-Araghi, Moritz Böhle, Sukrut Rao, Bernt Schiele
2024	J	`jnl`	Good Teachers Explain: Explanation-Enhanced Knowledge Distillation. CoRR Amin Parchami-Araghi, Moritz Böhle, Sukrut Rao, Bernt Schiele
2024	—	`—`	Towards designing inherently interpretable deep neural networks for image classification. Moritz Böhle
2023	J	`jnl`	B-cos Alignment for Inherently Interpretable CNNs and Vision Transformers. CoRR Moritz Böhle, Navdeeppal Singh, Mario Fritz, Bernt Schiele
2023	J	`jnl`	Better Understanding Differences in Attribution Methods via Systematic Evaluations. CoRR Sukrut Rao, Moritz Böhle, Bernt Schiele
2023	J	`jnl`	Holistically Explainable Vision Transformers. CoRR Moritz Böhle, Mario Fritz, Bernt Schiele
2023	J	`jnl`	Optimising for Interpretability: Convolutional Dynamic Alignment Networks. IEEE Trans. Pattern Anal. Mach. Intell. Moritz Böhle, Mario Fritz, Bernt Schiele
2023	A*	`conf`	Studying How to Efficiently and Effectively Guide Models with Explanations. ICCV Sukrut Rao, Moritz Böhle, Amin Parchami-Araghi, Bernt Schiele
2023	J	`jnl`	Studying How to Efficiently and Effectively Guide Models with Explanations. CoRR Sukrut Rao, Moritz Böhle, Amin Parchami-Araghi, Bernt Schiele
2023	J	`jnl`	Temperature Schedules for Self-Supervised Contrastive Methods on Long-Tail Data. CoRR Anna Kukleva, Moritz Böhle, Bernt Schiele, Hilde Kuehne, Christian Rupprecht
2023	A*	`conf`	Temperature Schedules for self-supervised contrastive methods on long-tail data. ICLR Anna Kukleva, Moritz Böhle, Bernt Schiele, Hilde Kuehne, Christian Rupprecht
2022	A*	`conf`	B-cos Networks: Alignment is All We Need for Interpretability. CVPR Moritz Böhle, Mario Fritz, Bernt Schiele
2022	J	`jnl`	B-cos Networks: Alignment is All We Need for Interpretability. CoRR Moritz Böhle, Mario Fritz, Bernt Schiele
2022	A*	`conf`	Towards Better Understanding Attribution Methods. CVPR Sukrut Rao, Moritz Böhle, Bernt Schiele
2022	J	`jnl`	Towards Better Understanding Attribution Methods. CoRR Sukrut Rao, Moritz Böhle, Bernt Schiele
2021	A*	`conf`	Convolutional Dynamic Alignment Networks for Interpretable Classifications. CVPR Moritz Böhle, Mario Fritz, Bernt Schiele
2021	J	`jnl`	Convolutional Dynamic Alignment Networks for Interpretable Classifications. CoRR Moritz Böhle, Mario Fritz, Bernt Schiele
2021	J	`jnl`	Optimising for Interpretability: Convolutional Dynamic Alignment Networks. CoRR Moritz Böhle, Mario Fritz, Bernt Schiele