3D Vision

Towards Natural and Accurate Future Motion Prediction of Humans and Animals CVPR 2019 Transformable Bottleneck Networks ICCV 2019 Triangulation Learning Network: From Monocular to Stereo 3D Object Detection CVPR 2019 U4D: Unsupervised 4D Dynamic Scene Understanding ICCV 2019 Understanding the Limitations of CNN-Based Absolute Camera Pose Regression CVPR 2019 UnOS: Unified Unsupervised Optical-Flow and Stereo-Depth Estimation by Watching Videos CVPR 2019 Unsupervised 3D Pose Estimation With Geometric Self-Supervision CVPR 2019 Unsupervised 3D Reconstruction Networks ICCV 2019 Unsupervised Deep Learning for Structured Shape Matching ICCV 2019 Unsupervised Learning of Consensus Maximization for 3D Vision Problems CVPR 2019 Unsupervised Learning of Dense Shape Correspondence CVPR 2019 Unsupervised Learning of Scene Flow Estimation Fusing with Local Rigidity IJCAI 2019 Unsupervised Multi-Task Feature Learning on Point Clouds ICCV 2019 Unsupervised Primitive Discovery for Improved 3D Generative Modeling CVPR 2019 Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video NeurIPS 2019 UprightNet: Geometry-Aware Camera Orientation Estimation From Single Images ICCV 2019 USIP: Unsupervised Stable Interest Point Detection From 3D Point Clouds ICCV 2019 Variational Uncalibrated Photometric Stereo Under General Lighting ICCV 2019 View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions AAAI 2019 Visual Localization by Learning Objects-Of-Interest Dense Match Regression CVPR 2019 VITAMIN-E: VIsual Tracking and MappINg With Extremely Dense Feature Points CVPR 2019 Volumetric Capture of Humans With a Single RGBD Camera via Semi-Parametric Learning CVPR 2019 VV-Net: Voxel VAE Net With Group Convolutions for Point Cloud Segmentation ICCV 2019 Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation CVPR 2019 What Correspondences Reveal About Unknown Camera and Motion Models? CVPR 2019