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Found 7 papers, 5 papers with code
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.
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.
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.
TFDet: Target-Aware Fusion for RGB-T Pedestrian Detection
In this paper, we propose a novel target-aware fusion strategy for multispectral pedestrian detection, named TFDet.
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.
FocusNet: Classifying Better by Focusing on Confusing Classes
We also introduce a novel focus-picking loss function to improve classification accuracy by encouraging FocusNet to focus on the most confusing classes.
Iterative Deep Homography Estimation
On a variety of datasets, the 2-scale IHN outperforms all competitors by a large gap.
