Co-occurring keywords · papers mentioning both
Papers
AutoSew: A Geometric Approach to Stitching Prediction with Graph Neural Networks
WACV 2026
UniCorrn: Unified Correspondence Transformer Across 2D and 3D
CVPR 2026
ViGG: Robust RGB-D Point Cloud Registration using Visual-Geometric Mutual Guidance
WACV 2026
Higher-Order Ratio Cycles for Fast and Globally Optimal Shape Matching
CVPR 2025
MATCHA: Towards Matching Anything
CVPR 2025
SGAD: Semantic and Geometric-aware Descriptor for Local Feature Matching
ICCV 2025
Towards Open-World Generation of Stereo Images and Unsupervised Matching
ICCV 2025
Inlier Confidence Calibration for Point Cloud Registration
CVPR 2024
Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence
ICLR 2024
Arbitrary Virtual Try-on Network: Characteristics Representation and Trade-off between Body and Clothing
ICLR 2023
Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre-Training
CVPR 2023
Global-Local Self-Distillation for Visual Representation Learning
WACV 2023
PEAL: Prior-Embedded Explicit Attention Learning for Low-Overlap Point Cloud Registration
CVPR 2023
PMatch: Paired Masked Image Modeling for Dense Geometric Matching
CVPR 2023
Rethinking Optical Flow From Geometric Matching Consistent Perspective
CVPR 2023
A Localized Geometric Method to Match Knowledge in Low-dimensional Hyperbolic Space
EMNLP 2022
BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose Estimation
IJCAI 2022
C-VTON: Context-Driven Image-Based Virtual Try-On Network
WACV 2022
Geometric Anchor Correspondence Mining With Uncertainty Modeling for Universal Domain Adaptation
CVPR 2022
Reliable Inlier Evaluation for Unsupervised Point Cloud Registration
AAAI 2022
Convolutional Hough Matching Networks
CVPR 2021
Deep Matching Prior: Test-Time Optimization for Dense Correspondence
ICCV 2021
Learning Accurate Dense Correspondences and When To Trust Them
CVPR 2021
Learning To Identify Correct 2D-2D Line Correspondences on Sphere
CVPR 2021
Warp Consistency for Unsupervised Learning of Dense Correspondences
ICCV 2021