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Motion Estimation

319 directly classified papers

Papers per year

Papers

Convolutional Sequence to Sequence Model for Human Dynamics CVPR 2018
LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation CVPR 2018
Layered Optical Flow Estimation Using a Deep Neural Network with a Soft Mask IJCAI 2018
A Robust Method for Strong Rolling Shutter Effects Correction Using Lines With Automatic Feature Selection CVPR 2018
A Unifying Contrast Maximization Framework for Event Cameras, With Applications to Motion, Depth, and Optical Flow Estimation CVPR 2018
Rolling Shutter and Radial Distortion Are Features for High Frame Rate Multi-Camera Tracking CVPR 2018
Egocentric Basketball Motion Planning From a Single First-Person Image CVPR 2018
Efficient Subpixel Refinement With Symbolic Linear Predictors CVPR 2018
Event-Based Visual Inertial Odometry CVPR 2017
Semi-Supervised Learning for Optical Flow with Generative Adversarial Networks NIPS 2017
Optical Flow Requires Multiple Strategies (but Only One Network) CVPR 2017
On Human Motion Prediction Using Recurrent Neural Networks CVPR 2017
Optical Flow in Mostly Rigid Scenes CVPR 2017
Predicting Scene Parsing and Motion Dynamics in the Future NIPS 2017
CoMaL: Good Features to Match on Object Boundaries CVPR 2016
Parametric Object Motion From Blur CVPR 2016
Learning Dense Correspondence via 3D-Guided Cycle Consistency CVPR 2016
Optical Flow With Semantic Segmentation and Localized Layers CVPR 2016
Full Flow: Optical Flow Estimation By Global Optimization Over Regular Grids CVPR 2016
Joint Vanishing Point Extraction and Tracking CVPR 2015
Depth Camera Tracking With Contour Cues CVPR 2015
Efficient Sparse-to-Dense Optical Flow Estimation Using a Learned Basis and Layers CVPR 2015
Computing Similarity Transformations From Only Image Correspondences CVPR 2015
Low-Level Vision by Consensus in a Spatial Hierarchy of Regions CVPR 2015
Efficient ConvNet-Based Marker-Less Motion Capture in General Scenes With a Low Number of Cameras CVPR 2015