Ilg, E.[Eddy]
Co Author Listing * Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction
* DeMoN: Depth and Motion Network for Learning Monocular Stereo
* End-to-End Learning of Video Super-Resolution with Motion Compensation
* FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
* FlowNet: Learning Optical Flow with Convolutional Networks
* Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation, A
* Lucid Data Dreaming for Video Object Segmentation
* NinjaDesc: Content-Concealing Visual Descriptors via Adversarial Learning
* Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation
* Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction
* SimNP: Learning Self-Similarity Priors Between Neural Points
* Uncertainty Estimates and Multi-hypotheses Networks for Optical Flow
* What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?
Includes: Ilg, E.[Eddy] Ilg, E.
13 for Ilg, E.
Ilg, M.
Co Author Listing * application of Voronoi skeletons to perceptual grouping in line images, The
* Consistent Operations on a Spatial Data Structure
* Gripping Information for a Robot from Silhouettes
* Knowledge-Based Understanding of Road Maps and Other Line Images
* Voronoi Skeletons: Theory and Applications
Ilg, W.[Winfried]
Co Author Listing * Estimation of Skill Levels in Sports Based on Hierarchical Spatio-Temporal Correspondences
* Modeling of Movement Sequences Based on Hierarchical Spatial-Temporal Correspondence of Movement Primitives