Publications (28)
Analyzing Modular CNN Architectures for Joint Depth Prediction and Semantic Segmentation
Omid Hosseini Jafari, Oliver Groth, Alexander Kirillov +2
Crowd Sourcing Image Segmentation with iaSTAPLE
Dmitrij Schlesinger, Florian Jug, Gene Myers +2
PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning
Alexander Krull, Eric Brachmann, Sebastian Nowozin +3
Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization
Alexander Kirillov, Alexander Shekhovtsov, Carsten Rother +1
Mapping Auto-context Decision Forests to Deep ConvNets for Semantic Segmentation
David L. Richmond, Dagmar Kainmueller, Michael Y. Yang +2
Learning Less is More - 6D Camera Localization via 3D Surface Regression
Eric Brachmann, Carsten Rother
Augmented Reality Meets Computer Vision : Efficient Data Generation for Urban Driving Scenes
Hassan Abu Alhaija, Siva Karthik Mustikovela, Lars Mescheder +2
Stereo Video Deblurring
Anita Sellent, Carsten Rother, Stefan Roth
Implicit Modeling -- A Generalization of Discriminative and Generative Approaches
Dmitrij Schlesinger, Carsten Rother
Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images
Alexander Krull, Eric Brachmann, Frank Michel +3
iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects
Omid Hosseini Jafari, Siva Karthik Mustikovela, Karl Pertsch +2
Lost and Found: Detecting Small Road Hazards for Self-Driving Vehicles
Peter Pinggera, Sebastian Ramos, Stefan Gehrig +3
CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation
Radek Mackowiak, Philip Lenz, Omair Ghori +3
Can Ground Truth Label Propagation from Video help Semantic Segmentation?
Siva Karthik Mustikovela, Michael Ying Yang, Carsten Rother
A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching
Paul Swoboda, Carsten Rother, Hassan Abu Alhaija +2
Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep Learning and Geometric Modeling
Sebastian Ramos, Stefan Gehrig, Peter Pinggera +2
InstanceCut: from Edges to Instances with MultiCut
Alexander Kirillov, Evgeny Levinkov, Bjoern Andres +2
Convexity Shape Constraints for Image Segmentation
Loic A. Royer, David L. Richmond, Carsten Rother +2
Random Forests versus Neural Networks - What's Best for Camera Localization?
Daniela Massiceti, Alexander Krull, Eric Brachmann +2
Joint Training of Generic CNN-CRF Models with Stochastic Optimization
Alexander Kirillov, Dmitrij Schlesinger, Shuai Zheng +3
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems
Jörg H. Kappes, Bjoern Andres, Fred A. Hamprecht +10
Learning an Interactive Segmentation System
Hannes Nickisch, Pushmeet Kohli, Carsten Rother
DSAC - Differentiable RANSAC for Camera Localization
Eric Brachmann, Alexander Krull, Sebastian Nowozin +4
Curvature Prior for MRF-based Segmentation and Shape Inpainting
Alexander Shekhovtsov, Pushmeet Kohli, Carsten Rother
Global Hypothesis Generation for 6D Object Pose Estimation
Frank Michel, Alexander Kirillov, Eric Brachmann +4
Joint Graph Decomposition and Node Labeling: Problem, Algorithms, Applications
Evgeny Levinkov, Jonas Uhrig, Siyu Tang +7
BOP: Benchmark for 6D Object Pose Estimation
Tomas Hodan, Frank Michel, Eric Brachmann +13
Cascades of Regression Tree Fields for Image Restoration
Uwe Schmidt, Jeremy Jancsary, Sebastian Nowozin +2