Motion Estimation

GLU-Net: Global-Local Universal Network for Dense Flow and Correspondences CVPR 2020 Information-Driven Direct RGB-D Odometry CVPR 2020 Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation CVPR 2020 Learning to Optimize Non-Rigid Tracking CVPR 2020 Learning to See Through Obstructions CVPR 2020 Learning Video Stabilization Using Optical Flow CVPR 2020 MaskFlownet: Asymmetric Feature Matching With Learnable Occlusion Mask CVPR 2020 Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns AAAI 2020 MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps CVPR 2020 On Scene Flow Computation of Gas Structures with Optical Gas Imaging Cameras WACV 2020 Optical Flow in Deep Visual Tracking AAAI 2020 Optical Flow in Dense Foggy Scenes Using Semi-Supervised Learning CVPR 2020 Optical Flow in the Dark CVPR 2020 Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task CVPR 2020 Robust Homography Estimation via Dual Principal Component Pursuit CVPR 2020 Robust Template-Based Non-Rigid Motion Tracking Using Local Coordinate Regularization WACV 2020 ScopeFlow: Dynamic Scene Scoping for Optical Flow CVPR 2020 Self-Supervised Monocular Scene Flow Estimation CVPR 2020 Siamese Box Adaptive Network for Visual Tracking CVPR 2020 Single Image Optical Flow Estimation With an Event Camera CVPR 2020 Sub-Frame Appearance and 6D Pose Estimation of Fast Moving Objects CVPR 2020 Upgrading Optical Flow to 3D Scene Flow Through Optical Expansion CVPR 2020 Video Frame Interpolation without Temporal Priors NeurIPS 2020 VOLDOR: Visual Odometry From Log-Logistic Dense Optical Flow Residuals CVPR 2020 Warp to the Future: Joint Forecasting of Features and Feature Motion CVPR 2020