90 citations · 91 across the 3 of their papers we have counts for
6 papers
Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition
Stephen Hausler, Sourav Garg, Ming Xu +2
Visual Place Recognition is a challenging task for robotics and autonomous systems, which must deal with the twin problems of appearance and viewpoint change in an always changing…
Hierarchical Multi-Process Fusion for Visual Place Recognition
Stephen Hausler, Michael Milford
Combining multiple complementary techniques together has long been regarded as a way to improve performance. In visual localization, multi-sensor fusion, multi-process fusion of a…
Filter Early, Match Late: Improving Network-Based Visual Place Recognition
Stephen Hausler, Adam Jacobson, Michael Milford
CNNs have excelled at performing place recognition over time, particularly when the neural network is optimized for localization in the current environmental conditions. In this pa…
Multi-Process Fusion: Visual Place Recognition Using Multiple Image Processing Methods
Stephen Hausler, Adam Jacobson, Michael Milford
Typical attempts to improve the capability of visual place recognition techniques include the use of multi-sensor fusion and integration of information over time from image sequenc…
Look No Deeper: Recognizing Places from Opposing Viewpoints under Varying Scene Appearance using Single-View Depth Estimation
Sourav Garg, Madhu Babu, Thanuja Dharmasiri +5
Visual place recognition (VPR) - the act of recognizing a familiar visual place - becomes difficult when there is extreme environmental appearance change or viewpoint change. Parti…
Feature Map Filtering: Improving Visual Place Recognition with Convolutional Calibration
Stephen Hausler, Adam Jacobson, Michael Milford
Convolutional Neural Networks (CNNs) have recently been shown to excel at performing visual place recognition under changing appearance and viewpoint. Previously, place recognition…