← Authors

Carsten Rother

50 papers · 2006–2025 · 8 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (8) πŸ—ΊοΈ Taxonomy Completionist (78) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (10) 🧭 Keyword Pioneer πŸƒ Academic Marathon (19) 🌟 Keyword Trendsetter Combo (16) 🏠 Conference Loyalist (23) πŸ† Grand Slam πŸ† Keyword Champion 🀝 Dynamic Duo (13) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer ⚑ Prolific Year (9) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (216) πŸ’Ž Century Club (50) πŸ”₯ Unstoppable (10)

Conferences

CVPR (23) ICCV (10) NIPS (6) ECCV (5) AISTATS (2) ICLR (2) AAAI (1) ICML (1)

Top co-authors

Bogdan Savchynskyy (13) Eric Brachmann (12) Alexander Kirillov (7) Frank Michel (6) Alexander Krull (5) Stefan Gumhold (5) Ullrich KΓΆthe (5) Lynton Ardizzone (4) Lisa Hutschenreiter (4) Sebastian Nowozin (4)

Research topics

Computer Vision (1)

Keywords

graphical model (5) semantic segmentation (5) combinatorial optimization (5) image segmentation (5) neural network (4) depth estimation (4) convolutional neural network (4) pose estimation (4) instance segmentation (3) reinforcement learning (3) camera localization (3) 6d pose estimation (3) self-supervised learning (3) computer vision (3) graph matching (3) object detection (3) energy minimization (3) unsupervised learning (2) 3d reconstruction (2) robust optimization (2)

Papers

Towards Optimizing Large-Scale Multi-Graph Matching in Bioimaging CVPR 2025
Discrete Cycle-Consistency Based Unsupervised Deep Graph Matching AAAI 2024
ControlNet-XS: Rethinking the Control of Text-to-Image Diffusion Models as Feedback-Control Systems ECCV 2024
A Comparative Study of Graph Matching Algorithms in Computer Vision ECCV 2022
Neural Head Avatars From Monocular RGB Videos CVPR 2022
Towards Multimodal Depth Estimation From Light Fields CVPR 2022
On the Limits of Pseudo Ground Truth in Visual Camera Re-Localisation ICCV 2021
Fusion Moves for Graph Matching ICCV 2021
Generative Classifiers as a Basis for Trustworthy Image Classification CVPR 2021
Self-Supervised Object Detection via Generative Image Synthesis ICCV 2021
Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task CVPR 2020
Self-Supervised Viewpoint Learning From Image Collections CVPR 2020
Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers ECCV 2020
Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification NIPS 2020
A Primal-Dual Solver for Large-Scale Tracking-by-Assignment AISTATS 2020
Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization AISTATS 2020
Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN) ICLR 2020
Benchmarking the Robustness of Semantic Segmentation Models CVPR 2020
CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus CVPR 2020
Analyzing Inverse Problems with Invertible Neural Networks ICLR 2019
Expert Sample Consensus Applied to Camera Re-Localization ICCV 2019
Panoptic Segmentation CVPR 2019
Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses ICCV 2019
Learning Less Is More - 6D Camera Localization via 3D Surface Regression CVPR 2018
Trust Your Model: Light Field Depth Estimation With Inline Occlusion Handling CVPR 2018
BOP: Benchmark for 6D Object Pose Estimation ECCV 2018
MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models ECCV 2018
InstanceCut: From Edges to Instances With MultiCut CVPR 2017
A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching CVPR 2017
Global Hypothesis Generation for 6D Object Pose Estimation CVPR 2017
Bounding Boxes, Segmentations and Object Coordinates: How Important Is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios? ICCV 2017
PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning CVPR 2017
DSAC - Differentiable RANSAC for Camera Localization CVPR 2017
Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications CVPR 2017
Learning to Push the Limits of Efficient FFT-Based Image Deconvolution ICCV 2017
Uncertainty-Driven 6D Pose Estimation of Objects and Scenes From a Single RGB Image CVPR 2016
Convexity Shape Constraints for Image Segmentation CVPR 2016
Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization NIPS 2016
Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images ICCV 2015
M-Best-Diverse Labelings for Submodular Energies and Beyond NIPS 2015
Inferring M-Best Diverse Labelings in a Single One ICCV 2015
Reflection Modeling for Passive Stereo ICCV 2015
Dense Semantic Image Segmentation with Objects and Attributes CVPR 2014
SphereFlow: 6 DoF Scene Flow from RGB-D Pairs CVPR 2014
Discriminative Non-blind Deblurring CVPR 2013
Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation NIPS 2013
Learning Convex QP Relaxations for Structured Prediction ICML 2013
Depth Super Resolution by Rigid Body Self-Similarity in 3D CVPR 2013
Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance NIPS 2011
Clustering appearance and shape by learning jigsaws NIPS 2006