Simone Schaub-Meyer

49 papers A* 7A 3Journal 28Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Accuracy: What Matters in Designing Well-Behaved Image Classification Models? Trans. Mach. Learn. Res. Robin Hesse, Dogukan Bagci, Bernt Schiele, Simone Schaub-Meyer, Stefan Roth
2026	J	`jnl`	Evaluating Object-Centric Models beyond Object Discovery. CoRR Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth
2026	J	`jnl`	MUFASA: A Multi-Layer Framework for Slot Attention. CoRR Sebastian Bock, Leonie Schüßler, Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth
2026	J	`jnl`	What is Missing? Explaining Neurons Activated by Absent Concepts. CoRR Robin Hesse, Simone Schaub-Meyer, Janina Hesse, Bernt Schiele, Stefan Roth
2025	J	`jnl`	ART: Adaptive Relation Tuning for Generalized Relation Prediction. CoRR Gopika Sudhakaran, Hikaru Shindo, Patrick Schramowski, Simone Schaub-Meyer, Kristian Kersting, Stefan Roth
2025	J	`jnl`	Beyond Accuracy: What Matters in Designing Well-Behaved Models? CoRR Robin Hesse, Dogukan Bagci, Bernt Schiele, Simone Schaub-Meyer, Stefan Roth
2025	A	`conf`	Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model. IROS Jannik Endres, Oliver Hahn, Charles Corbière, Simone Schaub-Meyer, Stefan Roth, Alexandre Alahi
2025	J	`jnl`	Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model. CoRR Jannik Endres, Oliver Hahn, Charles Corbière, Simone Schaub-Meyer, Stefan Roth, Alexandre Alahi
2025	J	`jnl`	Continual Learning Should Move Beyond Incremental Classification. CoRR Rupert Mitchell, Antonio Alliegro, Raffaello Camoriano, Dustin Carrión-Ojeda, Antonio Carta, Georgia Chalvatzaki, Nikhil Churamani, Carlo D'Eramo, Samin Hamidi, Robin Hesse, Fabian Hinder, Roshni Kamath, Vincenzo Lomonaco, Subarnaduti Paul, Francesca Pistilli, Tinne Tuytelaars, Gido M. van de Ven, Kristian Kersting, Simone Schaub-Meyer, Martin Mundt
2025	—	`conf`	Disentangling Polysemantic Channels in Convolutional Neural Networks. CVPR Workshops Robin Hesse, Jonas Fischer, Simone Schaub-Meyer, Stefan Roth
2025	J	`jnl`	Disentangling Polysemantic Channels in Convolutional Neural Networks. CoRR Robin Hesse, Jonas Fischer, Simone Schaub-Meyer, Stefan Roth
2025	—	`conf`	Efficient Masked Attention Transformer for Few-Shot Classification and Segmentation. DAGM GCPR Dustin Carrión-Ojeda, Stefan Roth, Simone Schaub-Meyer
2025	J	`jnl`	Efficient Masked Attention Transformer for Few-Shot Classification and Segmentation. CoRR Dustin Carrión-Ojeda, Stefan Roth, Simone Schaub-Meyer
2025	A*	`conf`	GLASS: Guided Latent Slot Diffusion for Object-Centric Learning. CVPR Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth
2025	J	`jnl`	Knowledge Distillation for Multimodal Egocentric Action Recognition Robust to Missing Modalities. CoRR Maria Santos-Villafranca, Dustin Carrión-Ojeda, Alejandro Pérez-Yus, Jesus Bermudez-Cameo, Josechu J. Guerrero, Simone Schaub-Meyer
2025	—	`conf`	Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery. ICCVW Xinrui Gong, Oliver Hahn, Christoph Reich, Krishnakant Singh, Simone Schaub-Meyer, Daniel Cremers, Stefan Roth
2025	J	`jnl`	Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery. CoRR Xinrui Gong, Oliver Hahn, Christoph Reich, Krishnakant Singh, Simone Schaub-Meyer, Daniel Cremers, Stefan Roth
2025	J	`jnl`	Removing Cost Volumes from Optical Flow Estimators. CoRR Simon Kiefhaber, Stefan Roth, Simone Schaub-Meyer
2024	J	`jnl`	Benchmarking Video Frame Interpolation. CoRR Simon Kiefhaber, Simon Niklaus, Feng Liu, Simone Schaub-Meyer
2024	A*	`conf`	Benchmarking the Attribution Quality of Vision Models. NeurIPS Robin Hesse, Simone Schaub-Meyer, Stefan Roth
2024	J	`jnl`	Benchmarking the Attribution Quality of Vision Models. CoRR Robin Hesse, Simone Schaub-Meyer, Stefan Roth
2024	J	`jnl`	Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals. CoRR Oliver Hahn, Nikita Araslanov, Simone Schaub-Meyer, Stefan Roth
2024	J	`jnl`	Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals. Trans. Mach. Learn. Res. Oliver Hahn, Nikita Araslanov, Simone Schaub-Meyer, Stefan Roth
2024	J	`jnl`	DIAGen: Diverse Image Augmentation with Generative Models. CoRR Tobias Lingenberg, Markus Reuter, Gopika Sudhakaran, Dominik Gojny, Stefan Roth, Simone Schaub-Meyer
2024	—	`conf`	DIAGen: Semantically Diverse Image Augmentation with Generative Models for Few-Shot Learning. GCPR (1) Tobias Lingenberg, Markus Reuter, Gopika Sudhakaran, Dominik Gojny, Stefan Roth, Simone Schaub-Meyer
2024	J	`jnl`	Guided Latent Slot Diffusion for Object-Centric Learning. CoRR Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth
2024	—	`conf`	Is Synthetic Data all We Need? Benchmarking the Robustness of Models Trained with Synthetic Images. CVPR Workshops Krishnakant Singh, Thanush Navaratnam, Jannik Holmer, Simone Schaub-Meyer, Stefan Roth
2024	J	`jnl`	Is Synthetic Data all We Need? Benchmarking the Robustness of Models Trained with Synthetic Images. CoRR Krishnakant Singh, Thanush Navaratnam, Jannik Holmer, Simone Schaub-Meyer, Stefan Roth
2024	—	`conf`	The Challenges of Relighting from Multi-View Observations. MAM/MANER@ESGR Daniel Siersleben, Rodrigo Ortiz Cayon, Klemen Istenic, Yusuke Tomoto, Simone Schaub-Meyer
2023	—	`conf`	Content-Adaptive Downsampling in Convolutional Neural Networks. CVPR Workshops Robin Hesse, Simone Schaub-Meyer, Stefan Roth
2023	J	`jnl`	Content-Adaptive Downsampling in Convolutional Neural Networks. CoRR Robin Hesse, Simone Schaub-Meyer, Stefan Roth
2023	A*	`conf`	Entropy-driven Unsupervised Keypoint Representation Learning in Videos. ICML Ali Younes, Simone Schaub-Meyer, Georgia Chalvatzaki
2023	A*	`conf`	FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods. ICCV Robin Hesse, Simone Schaub-Meyer, Stefan Roth
2023	J	`jnl`	FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods. CoRR Robin Hesse, Simone Schaub-Meyer, Stefan Roth
2022	A	`conf`	$S^2$-Flow: Joint Semantic and Style Editing of Facial Images. BMVC Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth
2022	J	`jnl`	An information-theoretic approach to unsupervised keypoint representation learning. CoRR Ali Younes, Simone Schaub-Meyer, Georgia Chalvatzaki
2022	A	`conf`	Efficient Feature Extraction for High-resolution Video Frame Interpolation. BMVC Moritz Nottebaum, Stefan Roth, Simone Schaub-Meyer
2022	J	`jnl`	Efficient Feature Extraction for High-resolution Video Frame Interpolation. CoRR Moritz Nottebaum, Stefan Roth, Simone Schaub-Meyer
2022	J	`jnl`	News Globe: Visualization of Geolocalized News Articles. IEEE Computer Graphics and Applications Nicholas Ingulfsen, Simone Schaub-Meyer, Markus Gross, Tobias Günther
2022	J	`jnl`	S CoRR Krishnakant Singh, Simone Schaub-Meyer, Stefan Roth
2021	A*	`conf`	Dense Unsupervised Learning for Video Segmentation. NeurIPS Nikita Araslanov, Simone Schaub-Meyer, Stefan Roth
2021	J	`jnl`	Dense Unsupervised Learning for Video Segmentation. CoRR Nikita Araslanov, Simone Schaub-Meyer, Stefan Roth
2021	A*	`conf`	Fast Axiomatic Attribution for Neural Networks. NeurIPS Robin Hesse, Simone Schaub-Meyer, Stefan Roth
2021	J	`jnl`	Fast Axiomatic Attribution for Neural Networks. CoRR Robin Hesse, Simone Schaub-Meyer, Stefan Roth
2021	—	`conf`	NeurIPS’22 Cross-Domain MetaDL Challenge: Results and lessons learned. NeurIPS (Competition and Demos) Dustin Carrión-Ojeda, Mahbubul Alam, Sergio Escalera, Ahmed K. Farahat, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz, Chetan Gupta, Isabelle Guyon, Joël Roman Ky, Xian Yeow Lee, Xin Liu, Felix Mohr, Manh Hung Nguyen, Emmanuel Pintelas, Stefan Roth, Simone Schaub-Meyer, Haozhe Sun, Ihsan Ullah, Joaquin Vanschoren, Lasitha Vidyaratne, Jiamin Wu, Xiaotian Yin
2020	—	`conf`	Simplifying the Process of Creating Augmented Outdoor Scenes. ICME Workshops Ribin Chalumattu, Simone Schaub-Meyer, Robin Wiethüchter, Severin Klingler, Markus Gross
2020	—	`conf`	Style Transfer for Keypoint Matching Under Adverse Conditions. 3DV Ali Uzpak, Abdelaziz Djelouah, Simone Schaub-Meyer
2019	A*	`conf`	Neural Inter-Frame Compression for Video Coding. ICCV Abdelaziz Djelouah, Joaquim Campos, Simone Schaub-Meyer, Christopher Schroers
2018	—	`—`	Video Frame Interpolation and Editing with Implicit Motion Estimation. Simone Schaub-Meyer