Fetching the paper…
Reading the bibliography…
This work proposes a new method to accurately complete sparse LiDAR maps guided by RGB images.
A. Geiger and P. Lenz and C, Stiller and R. Urtasun. “Vision meets Robotics: The KITTI Dataset,” International Journal of Robotics Research (IJRR)
2013
Earlier work this paper cites.
D. Kinga and J. B. Adam, “A method for stochastic optimization,” International Conference on Learning Representations
2015
Earlier work this paper cites.
K. He, X. Zhang, S. Ren and J. Sun. “Deep Residual Learning for Image Recognition,” Computer Vision and Pattern Recognition
2016
Earlier work this paper cites.
S. Ioffe and C. Szegedy, “Batch normalization: Accelerating deep network training by reducing internal covariate shift,” International Conference on Machine Learning
2016
Earlier work this paper cites.
I. Laina, C. Rupprecht, V. Belagiannis, F. Tombari, and N. Navab. “Deeper depth prediction with fully convolutional residual networks,” International Conference on 3D Vision
2016
Earlier work this paper cites.
Y. Li, J.-B. Huang, N. Ahuja, and M.H. Yang. “Deep joint image filtering,” European Conference on Computer Vision
2016
Earlier work this paper cites.
A. Newell, K. Yang and J. Deng. “Stacked Hourglass Networks for Human Pose Estimation, ” European Conference on Computer Vision
2016
Earlier work this paper cites.
N. Schneider, L. Schneider, P. Pinggera, U. Franke, M. Pollefeys, and C. Stiller, “Semantically guided depth upsampling,” German Conference on Pattern Recognition
2016
Cited alongside, same era.
T. Lin, P. Goyal and P. Dollar. “Focal Loss for Dense Object Detection, ” International Conference on Computer Vision
2017
Cited alongside, same era.
E. Romera, J. M. ´ Alvarez, L. M. Bergasa and R. Arroyo. “ERFNet: Efficient residual factorized convnet for real-time semantic segmentation,” Transactions on Intelligent Transportation Systems (T-ITS)
2017
Cited alongside, same era.
J. Uhrig, N. Schneider, L. Schneider, U. Franke, T. Brox, and A. Geiger, “Sparsity invariant CNNs,” International Conference on 3D Vision
2017
Cited alongside, same era.
A. Eldesokey, M. Felsberg, and F. S. Khan, “Propagating confidences through cnns for sparse data regression,” British Machine Vision Conference
M. Jaritz, R. De Charette, E. Wirbel, X. Perrotton, and F. Nashashibi, “Sparse and dense data with CNNs: Depth completion and semantic segmentation,” International Conference on 3D Vision
2018
Later among the works it cites.
2018
Later among the works it cites.
F. Ma and S. Karaman, “Sparse-to-dense: Depth prediction from sparse depth samples and a single image,” IEEE International Conference on Robotics and Automation
2018
Later among the works it cites.
2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2018
Cited alongside, same era.
2018
Cited alongside, same era.
2018
Cited alongside, same era.
KITTI benchmark: http://www.cvlibs.net/datasets/kitti/eval_depth.php?benchmark=depth_completion
Cited in the paper.
Cityscapes dataset: https://www.cityscapes-dataset.com
Cited in the paper.
2018
Later among the works it cites.
Y. Zhang and T. Funkhouser, “Deep depth completion of a single rgb-d image,” IEEE Conference on Computer Vision and Pattern Recognition
2018
Later among the works it cites.