Search Results for author:
Found 12 papers, 6 papers with code
Iterative Deep Homography Estimation
On a variety of datasets, the 2-scale IHN outperforms all competitors by a large gap.
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.
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.
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.
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.
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.
Normalized Total Gradient: A New Measure for Multispectral Image Registration
In this paper, a new measure, namely normalized total gradient (NTG), is proposed for multispectral image registration.
PCNet: A Structure Similarity Enhancement Method for Multispectral and Multimodal Image Registration
PCNet is constructed under the inspiration of the well-known phase congruency.
Guided Colorization Using Mono-Color Image Pairs
Experimental results show that, our algorithm can efficiently restore color images with higher SNR and richer details from the mono-color image pairs, and achieves good performance in solving the color bleeding problem.
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.
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.
