Carsten Rother

papers

787

total citations

papers (15)

Neural Head Avatars From Monocular RGB Videos

CVPR 2022arXiv

247

citations

Benchmarking the Robustness of Semantic Segmentation Models

CVPR 2020arXiv

185

citations

Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task

CVPR 2020arXiv

citations

Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers

ECCV 2020arXiv

citations

Fusion Moves for Graph Matching

ICCV 2021arXiv

citations

Generative Classifiers as a Basis for Trustworthy Image Classification

CVPR 2021arXiv

citations

Discrete Cycle-Consistency Based Unsupervised Deep Graph Matching

AAAI 2024

citations

Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification

NEURIPS 2020arXiv

citations

Self-Supervised Object Detection via Generative Image Synthesis

ICCV 2021arXiv

citations

Towards Multimodal Depth Estimation From Light Fields

CVPR 2022arXiv

citations

Towards Optimizing Large-Scale Multi-Graph Matching in Bioimaging

CVPR 2025

citations

Carsten Rother

papers (15)

Neural Head Avatars From Monocular RGB Videos

Benchmarking the Robustness of Semantic Segmentation Models

Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task

On the Limits of Pseudo Ground Truth in Visual Camera Re-Localisation

CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus

Self-Supervised Viewpoint Learning From Image Collections

A Comparative Study of Graph Matching Algorithms in Computer Vision

Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers

Fusion Moves for Graph Matching

Generative Classifiers as a Basis for Trustworthy Image Classification

Discrete Cycle-Consistency Based Unsupervised Deep Graph Matching

Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification

Self-Supervised Object Detection via Generative Image Synthesis

Towards Multimodal Depth Estimation From Light Fields

Towards Optimizing Large-Scale Multi-Graph Matching in Bioimaging

papers (15)

Neural Head Avatars From Monocular RGB Videos

Benchmarking the Robustness of Semantic Segmentation Models

Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task

On the Limits of Pseudo Ground Truth in Visual Camera Re-Localisation

CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus

Self-Supervised Viewpoint Learning From Image Collections

A Comparative Study of Graph Matching Algorithms in Computer Vision

Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers

Fusion Moves for Graph Matching

Generative Classifiers as a Basis for Trustworthy Image Classification

Discrete Cycle-Consistency Based Unsupervised Deep Graph Matching

Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification

Self-Supervised Object Detection via Generative Image Synthesis

Towards Multimodal Depth Estimation From Light Fields

Towards Optimizing Large-Scale Multi-Graph Matching in Bioimaging