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Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry

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Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation

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Self-Supervised Monocular Trained Depth Estimation Using Self-Attention and Discrete Disparity Volume

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Self-Supervised Learning With Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera

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Self-Supervised Monocular Depth Hints

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A Two-Streamed Network for Estimating Fine-Scaled Depth Maps from Single RGB Images

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Artificial intelligence (AI) in augmented reality (AR)-assisted manufacturing applications: a review

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Unifying Flow, Stereo and Depth Estimation

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Learning Monocular 3D Human Pose Estimation from Multi-view Images

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Learning to Synthesize a 4D RGBD Light Field from a Single Image

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Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning

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Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge

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End-to-end, sequence-to-sequence probabilistic visual odometry through deep neural networks

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OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramas

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DepthFormer: Exploiting Long-range Correlation and Local Information for Accurate Monocular Depth Estimation

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BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation

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Monocular Relative Depth Perception with Web Stereo Data Supervision

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Meaningful maps – Object-oriented semantic mapping

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Look Deeper into Depth: Monocular Depth Estimation with Semantic Booster and Attention-Driven Loss

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Learning Monocular Depth by Distilling Cross-Domain Stereo Networks

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Unsupervised Scale-Consistent Depth Learning from Video

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End-to-End Learning of Geometry and Context for Deep Stereo RegressionPreprint

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An Overview on Visual SLAM: From Tradition to Semantic

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Single View Stereo Matching

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SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation

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Multi-view Consistency as Supervisory Signal for Learning Shape and Pose Prediction

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Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos

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UniDepth: Universal Monocular Metric Depth Estimation

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Recurrent Neural Network for (Un-)Supervised Learning of Monocular Video Visual Odometry and Depth

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Probabilistic and Geometric Depth: Detecting Objects in PerspectivePreprint

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Visual Odometry Revisited: What Should Be Learnt?

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EdgeStereo: An Effective Multi-task Learning Network for Stereo Matching and Edge Detection

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Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

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Structure-Guided Ranking Loss for Single Image Depth Prediction

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Self-supervised Learning of Motion CapturePreprint

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LEGO: Learning Edge with Geometry all at Once by Watching Videos

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Harvesting Multiple Views for Marker-Less 3D Human Pose Annotations

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Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation

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3D Ken Burns effect from a single image

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Unsupervised Adversarial Depth Estimation Using Cycled Generative Networks

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How Do Neural Networks See Depth in Single Images?

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Adaptive Context-Aware Multi-Modal Network for Depth Completion

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Unsupervised framework for depth estimation and camera motion prediction from video

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Single View Depth Estimation via Dense Convolution Network with Self-supervision

Sun, Y., Shi, J., Bai, S., Qian, Q., & Sun, Z. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-37734-2_20

Unsupervised Multi-View Constrained Convolutional Network for Accurate Depth Estimation

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An Adaptive Unsupervised Learning Framework for Monocular Depth Estimation

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AsiANet: Autoencoders in Autoencoder for Unsupervised Monocular Depth Estimation

Yusiong, J. P. T., & Naval, P. C. (2019) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv.2019.00053 · Cited by 8 · see citing works