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Computer Vision
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Processing
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Depth Estimation
393 directly classified papers
Papers per year
2007: 1
2013: 13
2014: 15
2015: 24
2016: 17
2017: 15
2018: 32
2019: 30
2020: 48
2021: 48
2022: 38
2023: 44
2024: 42
2025: 26
Papers
Unsupervised Cross-Spectral Stereo Matching by Learning to Synthesize
AAAI 2019
Monocular Depth Estimation Using Relative Depth Maps
CVPR 2019
Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion
NIPS 2019
Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
CVPR 2019
Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction
CVPR 2019
Recurrent MVSNet for High-Resolution Multi-View Stereo Depth Inference
CVPR 2019
Hierarchical Deep Stereo Matching on High-Resolution Images
CVPR 2019
Multi-Scale Geometric Consistency Guided Multi-View Stereo
CVPR 2019
Learning the Depths of Moving People by Watching Frozen People
CVPR 2019
Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach
CVPR 2019
Dense Depth Posterior (DDP) From Single Image and Sparse Range
CVPR 2019
Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation
CVPR 2019
DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene From Sparse LiDAR Data and Single Color Image
CVPR 2019
Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation
CVPR 2019
DrivingStereo: A Large-Scale Dataset for Stereo Matching in Autonomous Driving Scenarios
CVPR 2019
LAF-Net: Locally Adaptive Fusion Networks for Stereo Confidence Estimation
CVPR 2019
UnOS: Unified Unsupervised Optical-Flow and Stereo-Depth Estimation by Watching Videos
CVPR 2019
LiFF: Light Field Features in Scale and Depth
CVPR 2019
Depth-Attentional Features for Single-Image Rain Removal
CVPR 2019
Single Image Depth Estimation Trained via Depth From Defocus Cues
CVPR 2019
Connecting the Dots: Learning Representations for Active Monocular Depth Estimation
CVPR 2019
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation
CVPR 2019
Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge
CVPR 2019
SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception
CVPR 2019
CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth
CVPR 2019
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