SemanticFusion: Dense 3D Semantic Mapping with Convolutional Neural Networks

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H. S. Koppula, A. Anand, T. Joachims, and A. Saxena, “Semantic Labeling of 3D Point Clouds for Indoor Scenes,” in Neural Information Processing Systems (NIPS) , 2011

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A. Krizhevsky, I. Sutskever, and G. Hinton, “ImageNet classification with deep convolutional neural networks,” in Neural Information Processing Systems (NIPS) , 2012

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N. Silberman, D. Hoiem, P. Kohli, and R. Fergus, “Indoor segmentation and support inference from RGBD images,” in Proceedings of the European Conference on Computer Vision (ECCV) , 2012

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C. Couprie, C. Farabet, L. Najman, and Y. LeCun, “Indoor semantic segmentation using depth information,” in Proceedings of the International Conference on Learning Representations (ICLR) , 2013

2013

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R. F. Salas-Moreno, R. A. Newcombe, H. Strasdat, P. H. J. Kelly, and A. J. Davison, “SLAM++: Simultaneous Localisation and Mapping at the Level of Objects,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2013. [Online]. Available: http://dx.doi.org/10.1109/CVPR.2013.178

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J. Valentin, S. Sengupta, J. Warrell, A. Shahrokni, and P. Torr, “Mesh Based Semantic Modelling for Indoor and Outdoor Scenes,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2013

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S. Gupta, R. Girshick, P. Arbelaez, and J. Malik, “Learning Rich Features from RGB-D Images for Object Detection and Segmentation,” in Proceedings of the European Conference on Computer Vision (ECCV) , 2014

2014

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A. Hermans, G. Floros, and B. Leibe, “Dense 3d semantic mapping of indoor scenes from rgb-d images,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA) , 2014

2014

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Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell, “Caffe: Convolutional architecture for fast feature embedding,” arXiv preprint arXiv:1408.5093 , 2014

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2014

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T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick, “Microsoft COCO: Common objects in context,” in Proceedings of the European Conference on Computer Vision (ECCV) , 2014, pp. 740–755

2014

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R. F. Salas-Moreno, B. Glocker, P. H. J. Kelly, and A. J. Davison, “Dense Planar SLAM,” in Proceedings of the International Symposium on Mixed and Augmented Reality (ISMAR) , 2014

2014

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J. Long, E. Shelhamer, and T. Darrell, “Fully convolutional networks for semantic segmentation,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2015

2015

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H. Noh, S. Hong, and B. Han, “Learning deconvolution network for semantic segmentation,” arXiv preprint arXiv:1505.04366 , 2015

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2015

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K. Simonyan and A. Zisserman, “Very Deep Convolutional Networks for Large-Scale Image Recognition,” in Proceedings of the International Conference on Learning Representations (ICLR) , 2015

2015

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S. Song, S. P. Lichtenberg, and J. Xiao, “SUN RGB-D: A RGB-D scene understanding benchmark suite,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2015, pp. 567–576

2015

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