energy minimization

3D Shape Completion with Multi-View Consistent Inference AAAI 2020 Approximating shapes in images with low-complexity polygons CVPR 2020 Learning Augmented Energy Minimization via Speed Scaling NeurIPS 2020 Learning Composable Energy Surrogates for PDE Order Reduction NeurIPS 2020 LSM: Learning Subspace Minimization for Low-Level Vision CVPR 2020 Deep Rigid Instance Scene Flow CVPR 2019 Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions NeurIPS 2019 IGE-Net: Inverse Graphics Energy Networks for Human Pose Estimation and Single-View Reconstruction CVPR 2019 Learning to Find Common Objects Across Few Image Collections ICCV 2019 MAP Inference via Block-Coordinate Frank-Wolfe Algorithm CVPR 2019 Non-Local Intrinsic Decomposition With Near-Infrared Priors ICCV 2019 Parametric Majorization for Data-Driven Energy Minimization Methods ICCV 2019 Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm ICCV 2019 Geometric Multi-Model Fitting With a Convex Relaxation Algorithm CVPR 2018 Inference in Higher Order MRF-MAP Problems With Small and Large Cliques CVPR 2018 Learning towards Minimum Hyperspherical Energy NeurIPS 2018 Planar Shape Detection at Structural Scales CVPR 2018 Adaptive and Move Making Auxiliary Cuts for Binary Pairwise Energies CVPR 2017 Robust Energy Minimization for BRDF-Invariant Shape From Light Fields CVPR 2017 Truncated Max-Of-Convex Models CVPR 2017 Bilateral Space Video Segmentation CVPR 2016 Determining Occlusions From Space and Time Image Reconstructions CVPR 2016 Efficient Point Process Inference for Large-Scale Object Detection CVPR 2016 Fits Like a Glove: Rapid and Reliable Hand Shape Personalization CVPR 2016 In the Shadows, Shape Priors Shine: Using Occlusion to Improve Multi-Region Segmentation CVPR 2016