21 citations · 55 across the 11 of their papers we have counts for
12 papers
iDF-SLAM: End-to-End RGB-D SLAM with Neural Implicit Mapping and Deep Feature Tracking
Yuhang Ming, Weicai Ye, Andrew Calway
We propose a novel end-to-end RGB-D SLAM, iDF-SLAM, which adopts a feature-based deep neural tracker as the front-end and a NeRF-style neural implicit mapper as the back-end. The n…
Dual-Domain Image Synthesis using Segmentation-Guided GAN
Dena Bazazian, Andrew Calway, Dima Damen
We introduce a segmentation-guided approach to synthesise images that integrate features from two distinct domains. Images synthesised by our dual-domain model belong to one domain…
FD-SLAM: 3-D Reconstruction Using Features and Dense Matching
Xingrui Yang, Yuhang Ming, Zhaopeng Cui +1
It is well known that visual SLAM systems based on dense matching are locally accurate but are also susceptible to long-term drift and map corruption. In contrast, feature matching…
CGiS-Net: Aggregating Colour, Geometry and Implicit Semantic Features for Indoor Place Recognition
Yuhang Ming, Xingrui Yang, Guofeng Zhang +1
We describe a novel approach to indoor place recognition from RGB point clouds based on aggregating low-level colour and geometry features with high-level implicit semantic feature…
Object-Augmented RGB-D SLAM for Wide-Disparity Relocalisation
Yuhang Ming, Xingrui Yang, Andrew Calway
We propose a novel object-augmented RGB-D SLAM system that is capable of constructing a consistent object map and performing relocalisation based on centroids of objects in the map…
You Are Here: Geolocation by Embedding Maps and Images
Noe Samano, Mengjie Zhou, Andrew Calway
We present a novel approach to geolocalising panoramic images on a 2-D cartographic map based on learning a low dimensional embedded space, which allows a comparison between an ima…