• S. Haller, P. Swoboda and B. Savchynskyy. Exact MAP-Inference by Confining Combinatorial Search with LP Relaxation. Accepted to AAAI 2018. [pdf]


  • A. Arnab, S. Zheng, S. Jayasumana, B. Romera-Paredes, M. Larsson, A. Kirillov, B. Savchynskyy, C. Rother, F. Kahl, and P.H.S. Torr. Conditional Random Fields meet Deep Neural Networks for Semantic Segmentation. IEEE Signal Processing Magazine Special Issue in Deep Learning for Visual Understanding White Paper. 2017 (accepted).
  • H. Abu Alhaija , S. K. Mustikovela, L. Mescheder, A. Geiger, C. Rother, “Augmented Reality Meets Deep Learning for Car Instance Segmentation in Urban Scenes”, BMVC 2017. [pdf][extended Arxiv pdf]
  • W. Li, O. Hosseini Jafari, C. Rother, ”Semantic-Aware Image Smoothing”, VMV 2017. [pdf]
  • J. Kruse, C. Rother, U. Schmidt, “Learning to Push the Limits of Efficient FFT-based Image Deconvolution”, ICCV 2017. [pdf][supp]
  • A. Behl, O. Hosseini Jafari, S. K. Mustikovela, H. Abu Alhaija, C. Rother, A. Geiger, “Bounding Boxes, Segmentations and Object Coordinates: How Important is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios?”, ICCV 2017. [pdf][supp]
  • S. Ramos, S. Gehrig, P. Pinggera, U. Franke, C. Rother. “Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep Learning and Geometric Modeling.” , Intelligent Vehicles Symposium (IV)(Oral)[pdf]
  • E. Brachmann, A. Krull, S. Nowozin, J. Shotton, F. Michel, S. Gumhold, C. Rother, “DSAC – Differentiable RANSAC for Camera Localization”, CVPR 2017 (oral). [pdf]
  • P. Swoboda, J. Kuske, B. Savchynskyy “A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems”. CVPR 2017. [pdf]
  • P. Swoboda, C. Rother, H. A. Alhaija, D. Kainmueller, B. Savchynskyy “A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching”. CVPR 2017. [pdf]
  • A. Kirillov, E. Levinkov, B. Andres, B. Savchynskyy, C. Rother, “InstanceCut: from Edges to Instances with MultiCut”, CVPR 2017. [pdf]
  • F. Michel, A. Kirillov, E. Brachmann, A. Krull, S. Gumhold, B. Savchynskyy, C. Rother, “Global Hypothesis Generation for 6D Object Pose Estimation”, CVPR 2017. [pdf]
  • E. Levinkov, J. Uhrig, S. Tang, M. Omran, E. Insafutdinov, A. Kirillov, C. Rother, T. Brox, B. Schiele, B. Andres, “Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications”, CVPR 2017. [pdf]
  • A. Krull, E. Brachmann, S. Nowozin, F. Michel, J. Shotton, C. Rother, “PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning”, CVPR 2017. [pdf]
  • Daniela Massiceti, Alexander Krull, Eric Brachmann, Carsten Rother, Philip H.S. Torr, “Random Forests versus Neural Networks − What’s Best for Camera Localization?”, ICRA 2017. [pdf]
  • Dmitrij Schlesinger, Florian Jug, Gene Myers, Carsten Rother, Dagmar Kainmüller, “Crowd Sourcing Image Segmentation with iaSTAPLE”, ISBI 2017. [pdf]
  • O. Hosseini Jafari, O. Groth, A. Kirillov, M. Y. Yang, C. Rother, “Analyzing Modular CNN Architectures for Joint Depth Prediction and Semantic Segmentation”, ICRA 2017. [pdf]


  • S. K. Mustikovela, M. Y. Yang, C.Rother, “Can Ground Truth Label Propagation from Video help Semantic Segmentation?”, Video Segmentation Workshop, ECCV 2016. [pdf]
  • P. Pinggera, S. Ramos, S. Gehrig, U. Franke, C. Rother, R. Mester, “Lost and Found: Detecting Small Road Hazards for Self-Driving Vehicles”, IROS 2016. [pdf]
  • A. Kirillov, A. Shekhovtsov, C. Rother, B. Savchynskyy, “Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization”, NIPS 2016, in press. [preprint]
  • A. Kirillov, D. Schlesinger, S. Zheng, B. Savchynskyy, P.H.S. Torr, C. Rother, “Joint Training of Generic CNN-CRF Models with Stochastic Optimization”, ACCV 2016, in press. [pdf]
  • Kappes, J.H.; Swoboda, P.; Savchynskyy, B.; Hazan, T. and Schnörr, C., “Multicuts and Perturb & MAP for Probabilistic Graph Clustering”, In J. Math. Imag. Vision, in press, 2016. [preprint] [bib]
  • Swoboda, P.; Shekhovtsov, A.; Kappes, J.H.; Schnörr, C. and Savchynskyy, B., “Partial Optimality by Pruning for MAP-Inference with General Graphical Models”, In IEEE Trans. Patt. Anal. Mach. Intell., vol. 38, July 2016, pp. 1370-1382. [preprint] [bib]
  • A. Sellent, C. Rother, S. Roth,”Stereo Video Deblurring”, ECCV 2016. [pdf][supp]
  • D. L. Richmond, D. Kainmueller, M. Y. Yang, E. W. Myers, C. Rother, “Mapping Auto-context Decision Forests to Deep ConvNets for Semantic Segmentation”, BMVC 2016. [pdf] [supplement]
  • L. A. Royer,D. L. Richmond ,C. Rother ,B. Andres and D. Kainmueller “Convexity Shape Constraints for Image Segmentation”, CVPR 2016 [pdf]
  • J. Mund, F. Michel, F. Dieke-Meier, H. Fricke, L. Meyer, C. Rother, “Introducing LiDAR Point Cloud-based Object Classification for Safer Apron Operations”, ESAVS 2016 [pdf].
  • E. Brachmann, F. Michel, A. Krull, M. Y. Yang, S. Gumhold, C. Rother, “Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB Image”, CVPR 2016.[pdf][supplement]
  • F. Matulic, W. Büschel, M. Y. Yang, S. Ihrke, A. Ramraika, C. Rother, R. Dachselt, “Smart Ubiquitous Projection: Discovering Surfaces for the Projection of Adaptive Content”, Proceedings of the 34th Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, 2016.
  • O. Hosseini Jafari, M. Y. Yang, “Real-Time RGB-D based Template Matching Pedestrian Detection”, ICRA 2016. [pdf]


  • A. Kirillov, D. Schlesinger, D. Vetrov, C. Rother, B. Savchynskyy, “M-Best-Diverse Labelings for Submodular Energies and Beyond”, NIPS 2015. [pdf with supplementary material][bib]
  • A. Krull, E. Brachmann, F. Michel, M. Y. Yang, S. Gumhold, C. Rother, “Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images”, ICCV 2015. [pdf]
  • A. Kirillov, B. Savchynskyy, D. Schlesinger, D. Vetrov, C. Rother, “Inferring M-Best Diverse Solutions in a Single One”, ICCV 2015. [pdf with supplementary material][bib][video spotlight]
  • R. Nair, A. Fitzgibbon, D. Kondermann, C. Rother. “Reflection Modelling for Passive Stereo”, ICCV 2015.pdf
  • H. Abu Alhaija, A. Sellent, D. Kondermann, C. Rother. “GraphFlow – 6D Large Displacement Scene Flow via Graph Matching”, German Conference on Pattern Recognition (GCPR, a.k.a. DAGM), 2015. [project][pdf]
  • M. Cheng, V. Prisacariu, S. Zheng, P. Torr, C Rother. “DenseCut: Densely Connected CRFs for Realtime GrabCut” , Computer Graphics Forum (CGF), 2015. (oral & journal). [Project][pdf][bib][code]
  • S. Zheng, V. Prisacariu, M Averkiou, M. Cheng, N. Mitra, J. Shotton, P. Torr, C. Rother. “Object Proposal Estimation in Depth Images using Compact 3D Shape Manifolds”, German Conference on Pattern Recognition (GCPR, a.k.a. DAGM), 2015. (oral). [pdf]
  • J. Mund, A. Zouhar, L. Meyer, H. Fricke, C. Rother, ” Performance Evaluation of LiDAR Point Clouds towards Automated FOD Detection on Airport Aprons”, ATACCS 2015. [pdf]
  • F. Michel, A. Krull, E. Brachmann, M. Y. Yang, S. Gumhold, C. Rother, “Pose Estimation of Kinematic Chain Instances via Object Coordinate Regression”, BMVC 2015. [pdf][Supplementary_Material][Extended_Abstract][Dataset]
  • D. Richmond, D. Kainmueller, B. Glocker, C. Rother, G. Myers, “Uncertainty-driven Forest Predictors for Vertebra Localization and Segmentation,” MICCAI 2015. [pdf]
  • A. Zouhar, C.Rother, S.Fuchs, “Semantic 3-D Labeling of ear implants using a global parametric transition prior,” MICCAI 2015. [pdf][Ear data set]
  • U. Schmidt, J. Jancsary, S. Nowozin, S. Roth, and C. Rother, “Cascades of regression tree fields for image restoration,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, to appear [pdf].
  • Wenqi Huang, Xiaojin Gong, and Michael Ying Yang. Joint object segmentation and depth upsampling. Signal Processing Letters, 22(2):192–196, 2015.
  • Schelten, S. Nowozin, J. Jancsary, C. Rother, and S. Roth, “Interleaved regression tree field cascades for blind image deconvolution,” in IEEE Winter Conference on Applications of Computer Vision (WACV), Waikoloa Beach, HI, Jan. 2015, pp. 494-501. [preprint]
  • Jörg H. Kappes, Bjoern Andres, Fred A. Hamprecht, Christoph Schnörr, Sebastian Nowozin, Dhruv Batra, Sungwoong Kim, Thorben Kroeger, Bernhard X. Kausler, Jan Lellmann, Nikos Komodakis, Bogdan Savchynskyy, Carsten Rother A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems
    IJCV 2015 [bib][preprint] [supplementary material 1] [supplementary material 2]
  • A. Shekhovtsov, P. Swoboda, B. Savchynskyy Maximum Persistency via Iterative Relaxed Inference with Graphical Models
    CVPR 2015 [bib][pdf with supplementary material]
  • J. Kappes, P. Swoboda, B. Savchynskyy, T. Hazan, C. Schnörr Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts SSVM 2015oral presentation [bib][pdf]

















  • Carsten Rother, Analyse initialer Positionsschätzungen bei der Bildfolgenauswertung, DAGM 1999