Depth Estimation

StereoDRNet: Dilated Residual StereoNet CVPR 2019 Structure-Aware Residual Pyramid Network for Monocular Depth Estimation IJCAI 2019 Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More CVPR 2019 Surface Normals and Shape From Water ICCV 2019 SynDeMo: Synergistic Deep Feature Alignment for Joint Learning of Depth and Ego-Motion ICCV 2019 TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo ICCV 2019 Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation CVPR 2019 Two Stream Networks for Self-Supervised Ego-Motion Estimation CoRL 2019 Unconstrained Motion Deblurring for Dual-Lens Cameras ICCV 2019 UnOS: Unified Unsupervised Optical-Flow and Stereo-Depth Estimation by Watching Videos CVPR 2019 Unsupervised Cross-Spectral Stereo Matching by Learning to Synthesize AAAI 2019 Unsupervised Event-Based Learning of Optical Flow, Depth, and Egomotion CVPR 2019 Unsupervised High-Resolution Depth Learning From Videos With Dual Networks ICCV 2019 Unsupervised Learning of Monocular Depth and Ego-Motion using Conditional PatchGANs IJCAI 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 Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach CVPR 2019 Visualization of Convolutional Neural Networks for Monocular Depth Estimation ICCV 2019 Volumetric Correspondence Networks for Optical Flow NeurIPS 2019 What Correspondences Reveal About Unknown Camera and Motion Models? CVPR 2019 WoodScape: A Multi-Task, Multi-Camera Fisheye Dataset for Autonomous Driving ICCV 2019 X-Section: Cross-Section Prediction for Enhanced RGB-D Fusion ICCV 2019 AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation CVPR 2018 A Low Power, High Throughput, Fully Event-Based Stereo System CVPR 2018 An Analysis of Scale Invariance in Object Detection ­ SNIP CVPR 2018