Volker Fischer

42 papers A* 10A 1B 3Journal 21Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	On Calibration in Multi-Distribution Learning. FAccT Rajeev Verma, Volker Fischer, Eric T. Nalisnick
2025	A*	`conf`	Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Models. ICLR Simon Schrodi, David T. Hoffmann, Max Argus, Volker Fischer, Thomas Brox
2025	J	`jnl`	What Drives Compositional Generalization in Visual Generative Models? CoRR Karim Farid, Rajat Sahay, Yumna Ali Alnaggar, Simon Schrodi, Volker Fischer, Cordelia Schmid, Thomas Brox
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	A*	`conf`	Eureka-Moments in Transformers: Multi-Step Tasks Reveal Softmax Induced Optimization Problems. ICML David T. Hoffmann, Simon Schrodi, Jelena Bratulic, Nadine Behrmann, Volker Fischer, Thomas Brox
2024	J	`jnl`	On Calibration in Multi-Distribution Learning. CoRR Rajeev Verma, Volker Fischer, Eric T. Nalisnick
2024	J	`jnl`	Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Representation Learning. CoRR Simon Schrodi, David T. Hoffmann, Max Argus, Volker Fischer, Thomas Brox
2023	J	`jnl`	Eureka-Moments in Transformers: Multi-Step Tasks Reveal Softmax Induced Optimization Problems. CoRR David T. Hoffmann, Simon Schrodi, Nadine Behrmann, Volker Fischer, Thomas Brox
2023	J	`jnl`	Zero-Shot Visual Classification with Guided Cropping. CoRR Piyapat Saranrittichai, Mauricio Munoz, Volker Fischer, Chaithanya Kumar Mummadi
2022	J	`jnl`	Multi-Attribute Open Set Recognition. CoRR Piyapat Saranrittichai, Chaithanya Kumar Mummadi, Claudia Blaiotta, Mauricio Munoz, Volker Fischer
2022	—	`conf`	Multi-attribute Open Set Recognition. GCPR Piyapat Saranrittichai, Chaithanya Kumar Mummadi, Claudia Blaiotta, Mauricio Munoz, Volker Fischer
2022	—	`conf`	Overcoming Shortcut Learning in a Target Domain by Generalizing Basic Visual Factors from a Source Domain. ECCV (25) Piyapat Saranrittichai, Chaithanya Kumar Mummadi, Claudia Blaiotta, Mauricio Munoz, Volker Fischer
2022	J	`jnl`	Overcoming Shortcut Learning in a Target Domain by Generalizing Basic Visual Factors from a Source Domain. CoRR Piyapat Saranrittichai, Chaithanya Kumar Mummadi, Claudia Blaiotta, Mauricio Munoz, Volker Fischer
2021	A*	`conf`	DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities. ICCV Elias Eulig, Piyapat Saranrittichai, Chaithanya Kumar Mummadi, Kilian Rambach, William Beluch, Xiahan Shi, Volker Fischer
2021	J	`jnl`	DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities. CoRR Elias Eulig, Piyapat Saranrittichai, Chaithanya Kumar Mummadi, Kilian Rambach, William Beluch, Xiahan Shi, Volker Fischer
2021	A*	`conf`	Does enhanced shape bias improve neural network robustness to common corruptions? ICLR Chaithanya Kumar Mummadi, Ranjitha Subramaniam, Robin Hutmacher, Julien Vitay, Volker Fischer, Jan Hendrik Metzen
2021	J	`jnl`	Does enhanced shape bias improve neural network robustness to common corruptions? CoRR Chaithanya Kumar Mummadi, Ranjitha Subramaniam, Robin Hutmacher, Julien Vitay, Volker Fischer, Jan Hendrik Metzen
2021	A*	`conf`	Fostering Generalization in Single-View 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors. CVPR Jan Bechtold, Maxim Tatarchenko, Volker Fischer, Thomas Brox
2021	J	`jnl`	Fostering Generalization in Single-view 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors. CoRR Jan Bechtold, Maxim Tatarchenko, Volker Fischer, Thomas Brox
2020	A*	`conf`	SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks. NeurIPS Fabian Fuchs, Daniel E. Worrall, Volker Fischer, Max Welling
2020	J	`jnl`	SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks. CoRR Fabian B. Fuchs, Daniel E. Worrall, Volker Fischer, Max Welling
2019	A*	`conf`	Grid Saliency for Context Explanations of Semantic Segmentation. NeurIPS Lukas Hoyer, Mauricio Munoz, Prateek Katiyar, Anna Khoreva, Volker Fischer
2019	J	`jnl`	Grid Saliency for Context Explanations of Semantic Segmentation. CoRR Lukas Hoyer, Mauricio Munoz, Prateek Katiyar, Anna Khoreva, Volker Fischer
2019	—	`conf`	Group Pruning Using a Bounded-ℓ GCPR Chaithanya Kumar Mummadi, Tim Genewein, Dan Zhang, Thomas Brox, Volker Fischer
2019	J	`jnl`	Group Pruning using a Bounded-Lp norm for Group Gating and Regularization. CoRR Chaithanya Kumar Mummadi, Tim Genewein, Dan Zhang, Thomas Brox, Volker Fischer
2019	—	`conf`	Short-Term Prediction and Multi-Camera Fusion on Semantic Grids. ICCV Workshops Lukas Hoyer, Patrick Kesper, Anna Khoreva, Volker Fischer
2019	J	`jnl`	Short-Term Prediction and Multi-Camera Fusion on Semantic Grids. CoRR Lukas Hoyer, Patrick Kesper, Volker Fischer
2018	A	`conf`	Functionally Modular and Interpretable Temporal Filtering for Robust Segmentation. BMVC Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke
2018	J	`jnl`	Functionally Modular and Interpretable Temporal Filtering for Robust Segmentation. CoRR Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke
2018	B	`conf`	Hierarchical Recurrent Filtering for Fully Convolutional DenseNets. ESANN Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke
2018	J	`jnl`	Hierarchical Recurrent Filtering for Fully Convolutional DenseNets. CoRR Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke
2018	A*	`conf`	The streaming rollout of deep networks - towards fully model-parallel execution. NeurIPS Volker Fischer, Jan Köhler, Thomas Pfeil
2018	J	`jnl`	The streaming rollout of deep networks - towards fully model-parallel execution. CoRR Volker Fischer, Jan Köhler, Thomas Pfeil
2017	—	`conf`	Adversarial Examples for Semantic Image Segmentation. ICLR (Workshop) Volker Fischer, Mummadi Chaithanya Kumar, Jan Hendrik Metzen, Thomas Brox
2017	J	`jnl`	Adversarial Examples for Semantic Image Segmentation. CoRR Volker Fischer, Mummadi Chaithanya Kumar, Jan Hendrik Metzen, Thomas Brox
2017	B	`conf`	Learning Semantic Prediction using Pretrained Deep Feedforward Networks. ESANN Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke
2017	—	`conf`	On Detecting Adversarial Perturbations. ICLR (Poster) Jan Hendrik Metzen, Tim Genewein, Volker Fischer, Bastian Bischoff
2017	J	`jnl`	On Detecting Adversarial Perturbations. CoRR Jan Hendrik Metzen, Tim Genewein, Volker Fischer, Bastian Bischoff
2017	A*	`conf`	Universal Adversarial Perturbations Against Semantic Image Segmentation. ICCV Jan Hendrik Metzen, Mummadi Chaithanya Kumar, Thomas Brox, Volker Fischer
2017	J	`jnl`	Universal Adversarial Perturbations Against Semantic Image Segmentation. CoRR Jan Hendrik Metzen, Mummadi Chaithanya Kumar, Thomas Brox, Volker Fischer
2016	B	`conf`	Multispectral Pedestrian Detection using Deep Fusion Convolutional Neural Networks. ESANN Jörg Wagner, Volker Fischer, Michael Herman, Sven Behnke
2015	A*	`conf`	Inverse reinforcement learning of behavioral models for online-adapting navigation strategies. ICRA Michael Herman, Volker Fischer, Tobias Gindele, Wolfram Burgard