暂无分享,去创建一个
Hongdong Li | Yiran Zhong | Yuchao Dai | Pan Ji | Kaihao Zhang | Jianyuan Wang | Yuchao Dai | Hongdong Li | Pan Ji | Kaihao Zhang | Yiran Zhong | Jianyuan Wang
[1] Jiri Matas,et al. Continual Occlusions and Optical Flow Estimation , 2018, ArXiv.
[2] Albert Ruiz-Vargas,et al. Optical flow sensor for continuous invasive measurement of blood flow velocity. , 2019, Journal of biophotonics.
[3] Jia-Bin Huang,et al. DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency , 2018, ECCV.
[4] Michael R. Lyu,et al. Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Yan Xu,et al. MaskFlownet: Asymmetric Feature Matching With Learnable Occlusion Mask , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Xiaoou Tang,et al. LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[7] Brian Kulis,et al. Metric Learning: A Survey , 2013, Found. Trends Mach. Learn..
[8] Jan Kautz,et al. PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[9] Lior Wolf,et al. ScopeFlow: Dynamic Scene Scoping for Optical Flow , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Michael J. Black,et al. A Naturalistic Open Source Movie for Optical Flow Evaluation , 2012, ECCV.
[11] Hongdong Li,et al. Open-World Stereo Video Matching with Deep RNN , 2018, ECCV.
[12] Thomas Brox,et al. FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Stefan Roth,et al. UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss , 2017, AAAI.
[14] Thomas Brox,et al. FlowNet: Learning Optical Flow with Convolutional Networks , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[15] Stefan Roth,et al. Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Deva Ramanan,et al. Volumetric Correspondence Networks for Optical Flow , 2019, NeurIPS.
[17] Thomas Brox,et al. A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[18] Hongdong Li,et al. Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Jia Xu,et al. Accurate Optical Flow via Direct Cost Volume Processing , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Michael J. Black,et al. Optical Flow Estimation Using a Spatial Pyramid Network , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[21] Michael J. Black,et al. Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Michael R. Lyu,et al. DDFlow: Learning Optical Flow with Unlabeled Data Distillation , 2019, AAAI.
[23] Yi Yang,et al. Occlusion Aware Unsupervised Learning of Optical Flow , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[24] Konstantinos G. Derpanis,et al. Back to Basics: Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness , 2016, ECCV Workshops.
[25] Jan Kautz,et al. Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[26] Yann LeCun,et al. Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches , 2015, J. Mach. Learn. Res..
[27] Xiaoou Tang,et al. A Lightweight Optical Flow CNN —Revisiting Data Fidelity and Regularization , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[28] Rong Jin,et al. Distance Metric Learning: A Comprehensive Survey , 2006 .
[29] Yuanyuan Wang,et al. Left Ventricle Segmentation via Optical-Flow-Net from Short-Axis Cine MRI: Preserving the Temporal Coherence of Cardiac Motion , 2018, MICCAI.
[30] Andreas Geiger,et al. Object scene flow for autonomous vehicles , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Michael R. Lyu,et al. SelFlow: Self-Supervised Learning of Optical Flow , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[32] Ruigang Yang,et al. GA-Net: Guided Aggregation Net for End-To-End Stereo Matching , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[33] Trevor Darrell,et al. Hierarchical Discrete Distribution Decomposition for Match Density Estimation , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[34] Wei Zhang,et al. Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[35] Mehrtash Harandi,et al. Hierarchical Neural Architecture Search for Deep Stereo Matching , 2020, NeurIPS.
[36] Cordelia Schmid,et al. EpicFlow: Edge-preserving interpolation of correspondences for optical flow , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[37] Feiyue Huang,et al. Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[38] Michael J. Black,et al. Supplementary Material for Unsupervised Learning of Multi-Frame Optical Flow with Occlusions , 2018 .
[39] Wei-Shi Zheng,et al. Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM , 2019, 2019 IEEE International Conference on Multimedia and Expo (ICME).
[40] Alex Kendall,et al. End-to-End Learning of Geometry and Context for Deep Stereo Regression , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[41] Jia Deng,et al. RAFT: Recurrent All-Pairs Field Transforms for Optical Flow , 2020, ECCV.
[42] Bodo Rosenhahn,et al. Optical Flow-Based 3D Human Motion Estimation from Monocular Video , 2017, GCPR.
[43] Berthold K. P. Horn,et al. Determining Optical Flow , 1981, Other Conferences.
[44] Zhichao Yin,et al. GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[45] Andreas Geiger,et al. Are we ready for autonomous driving? The KITTI vision benchmark suite , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[46] Jiri Matas,et al. Continual Occlusion and Optical Flow Estimation , 2018, ACCV.