Publications

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H. Abu Alhaija, Mustikovela, S. K., Mescheder, A., Geiger, C., and Rother, C., Augmented Reality Meets Computer Vision Efficient Data Generation for Urban Driving Scenes, IJCV, pp. 1-12, 2018.PDF icon Technical Report (3.83 MB)
H. Abu Alhaija, Mustikovela, S. Karthik, Mescheder, L., Geiger, A., and Rother, C., Augmented Reality Meets Computer Vision: Efficient Data Generation for Urban Driving Scenes, International Journal of Computer Vision, vol. 126, pp. 961–972, 2018.
H. Abu Alhaija, Mustikovela, S. Karthik, Mescheder, L., Geiger, A., and Rother, C., Augmented Reality Meets Computer Vision, International Journal of Computer Vision, vol. In press, pp. 1–13, 2018.
V. Kolmogorov, Boykov, Y., and Rother, C., Applications of parametric maxflow in computer vision, in Proceedings of the IEEE International Conference on Computer Vision, 2007.
V. Kolmogorov, Boykov, Y., and Rother, C., Applications of parametric maxflow in computer vision, in Proceedings of the IEEE International Conference on Computer Vision, 2007.
O. Hosseini Jafari, Groth, O., Kirillov, A., Yang, M. Ying, and Rother, C., Analyzing modular CNN architectures for joint depth prediction and semantic segmentation, in Proceedings - IEEE International Conference on Robotics and Automation, 2017, pp. 4620–4627.
M. Sindeev, Konushin, A., and Rother, C., Alpha-flow for video matting, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2013, vol. 7726 LNCS, pp. 438–452.
D. Kainmueller, Jug, F., Rother, C., and Myers, G., Active graph matching for automatic joint segmentation and annotation of C. elegans, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, vol. 8673 LNCS, pp. 81–88.
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A. Shesh, Criminisi, A., Rother, C., and Smyth, G., 3D-aware image editing for out of bounds photography, in Proceedings - Graphics Interface, 2009, pp. 47–54.
D. Hoiem, Rother, C., and Winn, J., 3D LayoutCRF for multi-view object class recognition and segmentation, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2007.

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