Margret Keuper

Trans. Mach. Learn. Res., 2024

Learning the essential in less than 2k additional weights - a simple approach to improve image classification stability under corruptions.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2024

FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training.

[BibT_eX]

[DOI]

Tejaswini Medi

CoRR, 2024

How Do Training Methods Influence the Utilization of Vision Models?

[BibT_eX]

[DOI]

CoRR, 2024

Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation.

[BibT_eX]

[DOI]

Yuxuan Zhou

Mario Fritz

CoRR, 2024

Domain-Aware Fine-Tuning of Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2024

Beware of Aliases - Signal Preservation is Crucial for Robust Image Restoration.

[BibT_eX]

[DOI]

CoRR, 2024

VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis.

[BibT_eX]

[DOI]

CoRR, 2024

Are Vision Language Models Texture or Shape Biased and Can We Steer Them?

[BibT_eX]

[DOI]

Muhammad Jehanzeb Mirza

CoRR, 2024

Implicit Representations for Constrained Image Segmentation.

[BibT_eX]

[DOI]

Jan Philipp Schneider

Proceedings of the Forty-first International Conference on Machine Learning, 2024

CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

MultiMax: Sparse and Multi-Modal Attention Learning.

[BibT_eX]

[DOI]

Yuxuan Zhou

Mario Fritz

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Task Driven Sensor Layouts - Joint Optimization of Pixel Layout and Network Parameters.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computational Photography, 2024

Improving Feature Stability During Upsampling - Spectral Artifacts and the Importance of Spatial Context.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Improving Native CNN Robustness with Filter Frequency Regularization.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Higher-Order Multicuts for Geometric Model Fitting and Motion Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Improving Stability during Upsampling - on the Importance of Spatial Context.

[BibT_eX]

[DOI]

CoRR, 2023

As large as it gets: Learning infinitely large Filters via Neural Implicit Functions in the Fourier Domain.

[BibT_eX]

[DOI]

CoRR, 2023

Fix your downsampling ASAP! Be natively more robust via Aliasing and Spectral Artifact free Pooling.

[BibT_eX]

[DOI]

CoRR, 2023

An Evaluation of Zero-Cost Proxies - from Neural Architecture Performance to Model Robustness.

[BibT_eX]

[DOI]

Michael Möller

CoRR, 2023

Happy People - Image Synthesis as Black-Box Optimization Problem in the Discrete Latent Space of Deep Generative Models.

[BibT_eX]

[DOI]

Jan Christian Schwedhelm

Claudia Schillings

CoRR, 2023

Overcoming Topology Agnosticism: Enhancing Skeleton-Based Action Recognition through Redefined Skeletal Topology Awareness.

[BibT_eX]

[DOI]

CoRR, 2023

Differentiable Sensor Layouts for End-to-End Learning of Task-Specific Camera Parameters.

[BibT_eX]

[DOI]

CoRR, 2023

CosPGD: a unified white-box adversarial attack for pixel-wise prediction tasks.

[BibT_eX]

[DOI]

CoRR, 2023

Intra-Source Style Augmentation for Improved Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection.

[BibT_eX]

[DOI]

Peter Lorenz

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Neural Architecture Design and Robustness: A Dataset.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Classification robustness to common optical aberrations.

[BibT_eX]

[DOI]

Patrick Müller

Alexander Braun

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

On the unreasonable vulnerability of transformers for image restoration - and an easy fix.

[BibT_eX]

[DOI]

Kanchana Vaishnavi Gandikota

Paramanand Chandramouli

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Local Spherical Harmonics Improve Skeleton-Based Hand Action Recognition.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

FullFormer: Generating Shapes Inside Shapes.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

An Evaluation of Zero-Cost Proxies - From Neural Architecture Performance Prediction to Model Robustness.

[BibT_eX]

[DOI]

Michael Moeller

Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

An Extended Study of Human-like Behavior under Adversarial Training.

[BibT_eX]

[DOI]

Paul Gavrikov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Divide & Bind Your Attention for Improved Generative Semantic Nursing.

[BibT_eX]

[DOI]

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Aliasing and adversarial robust generalization of CNNs.

[BibT_eX]

[DOI]

Mach. Learn., 2022

Hypergraph Transformer for Skeleton-based Action Recognition.

[BibT_eX]

[DOI]

CoRR, 2022

FrequencyLowCut Pooling - Plug & Play against Catastrophic Overfitting.

[BibT_eX]

[DOI]

CoRR, 2022

Learning to Solve Minimum Cost Multicuts Efficiently Using Edge-Weighted Graph Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Trading off Image Quality for Robustness is not Necessary with Regularized Deterministic Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Robust Models are less Over-Confident.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning Where to Look - Generative NAS is Surprisingly Efficient.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

FrequencyLowCut Pooling - Plug and Play Against Catastrophic Overfitting.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Optimizing Edge Detection for Image Segmentation with Multicut Penalties.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition, 2022

SP-ViT: Learning 2D Spatial Priors for Vision Transformers.

[BibT_eX]

[DOI]

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Arrow R-CNN for handwritten diagram recognition.

[BibT_eX]

[DOI]

Bernhard Schäfer

Int. J. Document Anal. Recognit., 2021

Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?

[BibT_eX]

[DOI]

CoRR, 2021

Detecting AutoAttack Perturbations in the Frequency Domain.

[BibT_eX]

[DOI]

CoRR, 2021

DARTS for Inverse Problems: a Study on Hyperparameter Sensitivity.

[BibT_eX]

[DOI]

CoRR, 2021

Estimating the Robustness of Classification Models by the Structure of the Learned Feature-Space.

[BibT_eX]

[DOI]

CoRR, 2021

Uncertainty in minimum cost multicuts for image and motion segmentation.

[BibT_eX]

[DOI]

Amirhossein Kardoost

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

MSM: Multi-stage Multicuts for Scalable Image Clustering.

[BibT_eX]

[DOI]

Kalun Ho

Avraam Chatzimichailidis

Proceedings of the High Performance Computing - ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24, 2021

Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Smooth Variational Graph Embeddings for Efficient Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier Domain.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Multi-Class Multi-Instance Count Conditioned Adversarial Image Generation.

[BibT_eX]

[DOI]

Amrutha Saseendran

Kathrin Skubch

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Spectral Distribution Aware Image Generation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Motion Segmentation & Multiple Object Tracking by Correlation Co-Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Smooth Variational Graph Embeddings for Efficient Neural Architecture Search.

[BibT_eX]

[DOI]

David Friede

Arber Zela

Frank Hutter

CoRR, 2020

NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search.

[BibT_eX]

[DOI]

CoRR, 2020

Unsupervised Multiple Person Tracking using AutoEncoder-Based Lifted Multicuts.

[BibT_eX]

[DOI]

Kalun Ho

CoRR, 2020

A Benders Decomposition Approach to Correlation Clustering.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2020

Object Segmentation Tracking from Generic Video Cues.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Unsupervised Bootstrapping of Active Learning for Entity Resolution.

[BibT_eX]

[DOI]

Anna Primpeli

Christian Bizer

Proceedings of the Semantic Web - 17th International Conference, 2020

Neural Architecture Performance Prediction Using Graph Neural Networks.

[BibT_eX]

[DOI]

David Friede

Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

Watch Your Up-Convolution: CNN Based Generative Deep Neural Networks Are Failing to Reproduce Spectral Distributions.

[BibT_eX]

[DOI]

Ricard Durall

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Self-supervised Sparse to Dense Motion Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

A Two-Stage Minimum Cost Multicut Approach to Self-supervised Multiple Person Tracking.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

A Variational-Sequential Graph Autoencoder for Neural Architecture Performance Prediction.

[BibT_eX]

[DOI]

David Friede

CoRR, 2019

Unmasking DeepFakes with simple Features.

[BibT_eX]

[DOI]

CoRR, 2019

Massively Parallel Benders Decomposition for Correlation Clustering.

[BibT_eX]

[DOI]

Maneesh Singh

Julian Yarkony

CoRR, 2019

2018

Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Solving Minimum Cost Lifted Multicut Problems by Node Agglomeration.

[BibT_eX]

[DOI]

Amirhossein Kardoost

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

ProbFlow: Joint Optical Flow and Uncertainty Estimation.

[BibT_eX]

[DOI]

Anne S. Wannenwetsch

Stefan Roth

Proceedings of the IEEE International Conference on Computer Vision, 2017

Higher-Order Minimum Cost Lifted Multicuts for Motion Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Learning Dilation Factors for Semantic Segmentation of Street Scenes.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 39th German Conference, 2017

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

A Multi-cut Formulation for Joint Segmentation and Tracking of Multiple Objects.

[BibT_eX]

[DOI]

CoRR, 2016

RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling.

[BibT_eX]

[DOI]

CoRR, 2016

Point-Wise Mutual Information-Based Video Segmentation with High Temporal Consistency.

[BibT_eX]

[DOI]

Thomas Brox

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Segmentation in Point Clouds from RGB-D Using Spectral Graph Reduction.

[BibT_eX]

[DOI]

Thomas Brox

Proceedings of the Perspectives in Shape Analysis, 2016

2015

Efficient Decomposition of Image and Mesh Graphs by Lifted Multicuts.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Motion Trajectory Segmentation via Minimum Cost Multicuts.

[BibT_eX]

[DOI]

Bjoern Andres

Thomas Brox

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Spectral Graph Reduction for Efficient Image and Streaming Video Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Variational attenuation correction in two-view confocal microscopy.

[BibT_eX]

[DOI]

BMC Bioinform., 2013

Variational attenuation correction of two-view confocal microscopic recordings.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Blind Deconvolution of Widefield Fluorescence Microscopic Data by Regularization of the Optical Transfer Function (OTF).

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Blind deconvolution with PSF regularization for wide-field microscopy.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Modeling of Sparsely Sampled Tubular Surfaces Using Coupled Curves.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition, 2012

2011

Hierarchical Markov Random Fields for mast cell segmentation in electron microscopic recordings.

[BibT_eX]

[DOI]

Thorsten Schmidt

Marta Rodriguez-Franco

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010

Evaluation of a New Point Clouds Registration Method Based on Group Averaging Features.

[BibT_eX]

[DOI]

Maja Temerinac-Ott