Carsten Rother
50 papers · 2006–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π Academic Marathon (19) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (10)
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(10)
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Keyword Pioneer
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Academic Marathon
(19)
π
Keyword Trendsetter Combo
(16)
π
Conference Loyalist
(23)
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Grand Slam
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Keyword Champion
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Dynamic Duo
(13)
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Trend Setter
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Conference Pioneer
β‘
Prolific Year
(9)
β
The Questioner
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Keyword Collector
(216)
π
Century Club
(50)
π₯
Unstoppable
(10)
Conferences
CVPR (23)
ICCV (10)
NIPS (6)
ECCV (5)
AISTATS (2)
ICLR (2)
AAAI (1)
ICML (1)
Top co-authors
Research topics
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