A contextual conditional random field network for monocular depth estimation
暂无分享,去创建一个
Qing Li | Jun Liu | Rui Cao | Guoping Qiu | Wenming Tang
[1] Jian Sun,et al. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[2] Ian D. Reid,et al. Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] Sertac Karaman,et al. Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image , 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[4] Oisin Mac Aodha,et al. Unsupervised Monocular Depth Estimation with Left-Right Consistency , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[6] Marc Pollefeys,et al. Pulling Things out of Perspective , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[7] Noah Snavely,et al. Unsupervised Learning of Depth and Ego-Motion from Video , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[9] Andreas Geiger,et al. Vision meets robotics: The KITTI dataset , 2013, Int. J. Robotics Res..
[10] Nicu Sebe,et al. Multi-scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Chunhua Shen,et al. Estimating Depth From Monocular Images as Classification Using Deep Fully Convolutional Residual Networks , 2016, IEEE Transactions on Circuits and Systems for Video Technology.
[12] Stephen Gould,et al. Single image depth estimation from predicted semantic labels , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[13] Xiang Li,et al. Joint Task-Recursive Learning for Semantic Segmentation and Depth Estimation , 2018, ECCV.
[14] Nicu Sebe,et al. Structured Coupled Generative Adversarial Networks for Unsupervised Monocular Depth Estimation , 2019, 2019 International Conference on 3D Vision (3DV).
[15] Weifeng Chen,et al. Single-Image Depth Perception in the Wild , 2016, NIPS.
[16] Vibhav Vineet,et al. Conditional Random Fields as Recurrent Neural Networks , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[17] Andrew McCallum,et al. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data , 2001, ICML.
[18] Alan L. Yuille,et al. Towards unified depth and semantic prediction from a single image , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Xuming He,et al. Discrete-Continuous Depth Estimation from a Single Image , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[20] William T. Freeman,et al. Learning Ordinal Relationships for Mid-Level Vision , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[21] Ashutosh Saxena,et al. Learning Depth from Single Monocular Images , 2005, NIPS.
[22] Nicu Sebe,et al. Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[23] Ashutosh Saxena,et al. Make3D: Learning 3D Scene Structure from a Single Still Image , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[24] Zhengqi Li,et al. MegaDepth: Learning Single-View Depth Prediction from Internet Photos , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[25] Gustavo Carneiro,et al. Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue , 2016, ECCV.
[26] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Nicu Sebe,et al. Unsupervised Adversarial Depth Estimation Using Cycled Generative Networks , 2018, 2018 International Conference on 3D Vision (3DV).
[28] Ce Liu,et al. Depth Extraction from Video Using Non-parametric Sampling , 2012, ECCV.
[29] Alexei A. Efros,et al. Automatic photo pop-up , 2005, SIGGRAPH 2005.
[30] Rob Fergus,et al. Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture , 2014, 2015 IEEE International Conference on Computer Vision (ICCV).
[31] Vladlen Koltun,et al. Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials , 2011, NIPS.
[32] Jörg Stückler,et al. Semi-Supervised Deep Learning for Monocular Depth Map Prediction , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[33] Xiaoou Tang,et al. Image Super-Resolution Using Deep Convolutional Networks , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[34] Livio Pinto,et al. Calibration of Kinect for Xbox One and Comparison between the Two Generations of Microsoft Sensors , 2015, Sensors.
[35] Nassir Navab,et al. Deeper Depth Prediction with Fully Convolutional Residual Networks , 2016, 2016 Fourth International Conference on 3D Vision (3DV).
[36] Bo Li,et al. Monocular Depth Estimation with Hierarchical Fusion of Dilated CNNs and Soft-Weighted-Sum Inference , 2017, Pattern Recognit..
[37] Rob Fergus,et al. Depth Map Prediction from a Single Image using a Multi-Scale Deep Network , 2014, NIPS.
[38] Derek Hoiem,et al. Indoor Segmentation and Support Inference from RGBD Images , 2012, ECCV.
[39] Chunhua Shen,et al. Depth and surface normal estimation from monocular images using regression on deep features and hierarchical CRFs , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[40] Nicu Sebe,et al. Learning Deep Structured Multi-Scale Features using Attention-Gated CRFs for Contour Prediction , 2017, NIPS.