Motion Estimation

Motion Segmentation by Exploiting Complementary Geometric Models CVPR 2018 Occlusion Aware Unsupervised Learning of Optical Flow CVPR 2018 Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition CVPR 2018 PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume CVPR 2018 Real-World Repetition Estimation by Div, Grad and Curl CVPR 2018 Rolling Shutter and Radial Distortion Are Features for High Frame Rate Multi-Camera Tracking CVPR 2018 Seeing Temporal Modulation of Lights From Standard Cameras CVPR 2018 Semantic Video Segmentation by Gated Recurrent Flow Propagation CVPR 2018 Spline Error Weighting for Robust Visual-Inertial Fusion CVPR 2018 Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors CVPR 2018 Understanding image motion with group representations ICLR 2018 DeMoN: Depth and Motion Network for Learning Monocular Stereo CVPR 2017 Event-Based Visual Inertial Odometry CVPR 2017 Fast Multi-Frame Stereo Scene Flow With Motion Segmentation CVPR 2017 Filter Flow Made Practical: Massively Parallel and Lock-Free CVPR 2017 From Local to Global: Edge Profiles to Camera Motion in Blurred Images CVPR 2017 InterpoNet, a Brain Inspired Neural Network for Optical Flow Dense Interpolation CVPR 2017 On Human Motion Prediction Using Recurrent Neural Networks CVPR 2017 Optical Flow Estimation Using a Spatial Pyramid Network CVPR 2017 Optical Flow in Mostly Rigid Scenes CVPR 2017 Optical Flow Requires Multiple Strategies (but Only One Network) CVPR 2017 Predicting Scene Parsing and Motion Dynamics in the Future NeurIPS 2017 Primary Object Segmentation in Videos Based on Region Augmentation and Reduction CVPR 2017 Robust Interpolation of Correspondences for Large Displacement Optical Flow CVPR 2017 Semi-Supervised Learning for Optical Flow with Generative Adversarial Networks NeurIPS 2017