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Found 8 papers, 4 papers with code
PCNet: A Structure Similarity Enhancement Method for Multispectral and Multimodal Image Registration
PCNet is constructed under the inspiration of the well-known phase congruency.
BVMatch: Lidar-based Place Recognition Using Bird's-eye View Images
Recognizing places using Lidar in large-scale environments is challenging due to the sparse nature of point cloud data.
Iterative Deep Homography Estimation
On a variety of datasets, the 2-scale IHN outperforms all competitors by a large gap.
Aggregating Feature Point Cloud for Depth Completion
We extract 2D feature map from images and transform the sparse depth map to point cloud to extract sparse 3D features.
Structure Aggregation for Cross-Spectral Stereo Image Guided Denoising
Instead of aligning the input images via conventional stereo matching, we aggregate structures from the guidance image to estimate a clean structure map for the noisy target image, which is then used to regress the final denoising result with a spatially variant linear representation model.
Recurrent Homography Estimation Using Homography-Guided Image Warping and Focus Transformer
We propose the Recurrent homography estimation framework using Homography-guided image Warping and Focus transformer (FocusFormer), named RHWF.
I2P-Rec: Recognizing Images on Large-scale Point Cloud Maps through Bird's Eye View Projections
The experimental results evaluated on the KITTI dataset show that, with only a small set of training data, I2P-Rec achieves recall rates at Top-1\% over 80\% and 90\%, when localizing monocular and stereo images on point cloud maps, respectively.
SGDFormer: One-stage Transformer-based Architecture for Cross-Spectral Stereo Image Guided Denoising
Our transformer block contains a noise-robust cross-attention (NRCA) module and a spatially variant feature fusion (SVFF) module.
