Co-occurring keywords · papers mentioning both
Papers
Joint Depth Prediction and Semantic Segmentation With Multi-View SAM
WACV 2024
Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation
CVPR 2024
Mitigating Perspective Distortion-induced Shape Ambiguity in Image Crops
ECCV 2024
MonoCD: Monocular 3D Object Detection with Complementary Depths
CVPR 2024
Monocular Event-Based Vision for Obstacle Avoidance with a Quadrotor
CoRL 2024
MonoProb: Self-Supervised Monocular Depth Estimation With Interpretable Uncertainty
WACV 2024
Behind the Scenes: Density Fields for Single View Reconstruction
CVPR 2023
CompletionFormer: Depth Completion With Convolutions and Vision Transformers
CVPR 2023
Consistent Depth Prediction for Transparent Object Reconstruction from RGB-D Camera
ICCV 2023
Creating a Forensic Database of Shoeprints From Online Shoe-Tread Photos
WACV 2023
Guiding Local Feature Matching with Surface Curvature
ICCV 2023
Multi-View Reconstruction Using Signed Ray Distance Functions (SRDF)
CVPR 2023
NeRF-Supervised Deep Stereo
CVPR 2023
Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling
ICLR 2023
Rebalancing Gradient To Improve Self-Supervised Co-Training of Depth, Odometry and Optical Flow Predictions
WACV 2023
Robust Monocular Depth Estimation under Challenging Conditions
ICCV 2023
SceneScape: Text-Driven Consistent Scene Generation
NeurIPS 2023
Single Image Depth Prediction Made Better: A Multivariate Gaussian Take
CVPR 2023
Exploiting Pseudo Labels in a Self-Supervised Learning Framework for Improved Monocular Depth Estimation
CVPR 2022
Generalized Binary Search Network for Highly-Efficient Multi-View Stereo
CVPR 2022
Learning To Generate Line Drawings That Convey Geometry and Semantics
CVPR 2022
Non-Parametric Depth Distribution Modelling Based Depth Inference for Multi-View Stereo
CVPR 2022
P3Depth: Monocular Depth Estimation With a Piecewise Planarity Prior
CVPR 2022
Towards Multimodal Depth Estimation From Light Fields
CVPR 2022
UViM: A Unified Modeling Approach for Vision with Learned Guiding Codes
NeurIPS 2022