Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End
暂无分享,去创建一个
Michael Felsberg | Abdelrahman Eldesokey | Mikael Persson | Karl Holmquist | M. Felsberg | A. Eldesokey | M. Persson | Karl Holmquist | Abdelrahman Eldesokey
[1] Michael Felsberg,et al. ATOM: Accurate Tracking by Overlap Maximization , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[2] M. Pollefeys,et al. DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene From Sparse LiDAR Data and Single Color Image , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Michael Felsberg,et al. Confidence Propagation through CNNs for Guided Sparse Depth Regression , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] Raquel Urtasun,et al. Learning Joint 2D-3D Representations for Depth Completion , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[5] Stephen Lin,et al. GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond , 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).
[6] Alex Kendall,et al. What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? , 2017, NIPS.
[7] Sertac Karaman,et al. Self-Supervised Sparse-to-Dense: Self-Supervised Depth Completion from LiDAR and Monocular Camera , 2018, 2019 International Conference on Robotics and Automation (ICRA).
[8] Thomas Brox,et al. Sparsity Invariant CNNs , 2017, 2017 International Conference on 3D Vision (3DV).
[9] Hyuk-Jae Lee,et al. Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[10] Takeo Kanade,et al. An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.
[11] Jan Kautz,et al. Tackling 3D ToF Artifacts Through Learning and the FLAT Dataset , 2018, ECCV.
[12] Xiaogang Wang,et al. HMS-Net: Hierarchical Multi-Scale Sparsity-Invariant Network for Sparse Depth Completion , 2018, IEEE Transactions on Image Processing.
[13] Derek Hoiem,et al. Indoor Segmentation and Support Inference from RGBD Images , 2012, ECCV.
[14] Thomas B. Schön,et al. Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[15] Hujun Bao,et al. Depth Completion From Sparse LiDAR Data With Depth-Normal Constraints , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[16] Simon Lucey,et al. Deep Convolutional Compressed Sensing for LiDAR Depth Completion , 2018, ACCV.
[17] Fawzi Nashashibi,et al. Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation , 2018, 2018 International Conference on 3D Vision (3DV).
[18] Sanja Fidler,et al. Gated-SCNN: Gated Shape CNNs for Semantic Segmentation , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[19] Charles Blundell,et al. Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles , 2016, NIPS.
[20] Zhaoxiang Zhang,et al. Scale-Aware Trident Networks for Object Detection , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[21] Matthijs Douze,et al. Fixing the train-test resolution discrepancy , 2019, NeurIPS.
[22] Michael Felsberg,et al. Robust stereo visual odometry from monocular techniques , 2015, 2015 IEEE Intelligent Vehicles Symposium (IV).
[23] Zoubin Ghahramani,et al. Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning , 2015, ICML.
[24] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[25] Carl-Fredrik Westin,et al. Normalized and differential convolution , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[26] Shawn D. Newsam,et al. Improving Semantic Segmentation via Video Propagation and Label Relaxation , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Michael Felsberg,et al. Propagating Confidences through CNNs for Sparse Data Regression , 2018, BMVC.
[28] A. C. Aitken. IV.—On Least Squares and Linear Combination of Observations , 1936 .
[29] Yuyin Zhou,et al. UPC: Learning Universal Physical Camouflage Attacks on Object Detectors , 2019, ArXiv.
[30] Kaiming He,et al. Exploring the Limits of Weakly Supervised Pretraining , 2018, ECCV.
[31] Qiang Wang,et al. Fast Online Object Tracking and Segmentation: A Unifying Approach , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[32] Luc Van Gool,et al. Sparse and Noisy LiDAR Completion with RGB Guidance and Uncertainty , 2019, 2019 16th International Conference on Machine Vision Applications (MVA).
[33] Thomas Brox,et al. Uncertainty Estimates and Multi-hypotheses Networks for Optical Flow , 2018, ECCV.
[34] Stefan Roth,et al. Lightweight Probabilistic Deep Networks , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[35] Rich Wareham,et al. libfreenect2: Release 0.2 , 2016 .
[36] Hei Law,et al. CornerNet: Detecting Objects as Paired Keypoints , 2018, ECCV.