Keuper, J.[Janis]
Co Author Listing * Adversarial Robustness through the Lens of Convolutional Filters
* CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters
* Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality
* Extended Study of Human-like Behavior under Adversarial Training, An
* FrequencyLowCut Pooling: Plug and Play Against Catastrophic Overfitting
* Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches
* Local Facial Attribute Transfer through Inpainting
* Object Segmentation Using Pixel-Wise Adversarial Loss
* On the Interplay of Convolutional Padding and Adversarial Robustness
* Semi Few-Shot Attribute Translation
* Two-stage Minimum Cost Multicut Approach to Self-supervised Multiple Person Tracking, A
* Watch Your Up-Convolution: CNN Based Generative Deep Neural Networks Are Failing to Reproduce Spectral Distributions
Includes: Keuper, J.[Janis] Keuper, J.
12 for Keuper, J.
Keuper, M.[Margret]
Co Author Listing * 3D Active Surface Model for the Accurate Segmentation of Drosophila Schneider Cell Nuclei and Nucleoli, A
* 3D Deformable Surfaces with Locally Self-Adjusting Parameters: A Robust Method to Determine Cell Nucleus Shapes
* Blind Deconvolution of Widefield Fluorescence Microscopic Data by Regularization of the Optical Transfer Function (OTF)
* Classification robustness to common optical aberrations
* Efficient Decomposition of Image and Mesh Graphs by Lifted Multicuts
* Evaluation of a New Point Clouds Registration Method Based on Group Averaging Features
* Extended Study of Human-like Behavior under Adversarial Training, An
* FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
* FrequencyLowCut Pooling: Plug and Play Against Catastrophic Overfitting
* Higher-Order Minimum Cost Lifted Multicuts for Motion Segmentation
* Higher-Order Multicuts for Geometric Model Fitting and Motion Segmentation
* Intra- & Extra-Source Exemplar-Based Style Synthesis for Improved Domain Generalization
* Intra-Source Style Augmentation for Improved Domain Generalization
* Learning Dilation Factors for Semantic Segmentation of Street Scenes
* Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches
* Learning Where to Look: Generative NAS is Surprisingly Efficient
* Mean Shift Gradient Vector Flow: A Robust External Force Field for 3D Active Surfaces
* Modeling of Sparsely Sampled Tubular Surfaces Using Coupled Curves
* Motion Segmentation Multiple Object Tracking by Correlation Co-Clustering
* Motion Trajectory Segmentation via Minimum Cost Multicuts
* Multi-Class Multi-Instance Count Conditioned Adversarial Image Generation
* Neural Architecture Performance Prediction Using Graph Neural Networks
* Object Segmentation Tracking from Generic Video Cues
* Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation
* On the unreasonable vulnerability of transformers for image restoration - and an easy fix
* Point-Wise Mutual Information-Based Video Segmentation with High Temporal Consistency
* ProbFlow: Joint Optical Flow and Uncertainty Estimation
* Self-supervised Sparse to Dense Motion Segmentation
* Semi-supervised Learning of Edge Filters for Volumetric Image Segmentation
* Solving Minimum Cost Lifted Multicut Problems by Node Agglomeration
* Spectral Graph Reduction for Efficient Image and Streaming Video Segmentation
* STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling
* Two-stage Minimum Cost Multicut Approach to Self-supervised Multiple Person Tracking, A
* Watch Your Up-Convolution: CNN Based Generative Deep Neural Networks Are Failing to Reproduce Spectral Distributions
Includes: Keuper, M.[Margret] Keuper, M.
34 for Keuper, M.
Keupers, M.[Machteld]
Co Author Listing * statistical evaluation of eye-tracking data of screening mammography: Effects of expertise and experience on image reading, A