Rother, Carsten
Heidelberg University
8 papers on CoChatORCID 0009-0005-3245-6744
Most cited papers
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GrabCut: Interactive foreground extraction using iterated graph cuts
Rother, C., Kolmogorov, V., & Blake, A. (2004) · ACM Transactions on Graphics
Medical Image Segmentation TechniquesAdvanced Neural Network Applications
Cited by 5,703
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Panoptic Segmentation
Kirillov, A., He, K., Girshick, R., Rother, C., & Dollár, P. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 1,659
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Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB Image
Brachmann, E., Michel, F., Krull, A., Yang, M. Y., Gumhold, S., & Rother, C. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Robotics and Sensor-Based LocalizationAdvanced Vision and Imaging
Cited by 530
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Learning Less is More - 6D Camera Localization via 3D Surface Regression
Brachmann, E., & Rother, C. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Robotics and Sensor-Based LocalizationAdvanced Vision and Imaging
Cited by 399
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Do life-logging technologies support memory for the past?: an experimental study using sensecam
Sellen, A. J., Fogg, A., Aitken, M., Hodges, S., Rother, C., & Wood, K. (2007) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Innovative Human-Technology InteractionMemory Processes and Influences
Cited by 324
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Detecting unexpected obstacles for self-driving cars: Fusing deep learning and geometric modeling
Ramos, S., Gehrig, S., Pinggera, P., Franke, U., & Rother, C. (2017) · 2017 IEEE Intelligent Vehicles Symposium (IV)
Autonomous Vehicle Technology and SafetyAdvanced Neural Network Applications
Cited by 170
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FusionFlow: Discrete-continuous optimization for optical flow estimation
Lempitsky, V., Roth, S., & Rother, C. (2008) · 2008 IEEE Conference on Computer Vision and Pattern Recognition
Advanced Vision and ImagingVideo Surveillance and Tracking Methods
Cited by 145
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Joint Training of Generic CNN-CRF Models with Stochastic Optimization
Kirillov, A., Schlesinger, D., Zheng, S., Savchynskyy, B., Torr, P. H. S., & Rother, C. (2015) · arXiv
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 6
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