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20182024
most citedMulti-Process Fusion: Visual Place Recognition Using Multiple Image Processing Methods

90 citations · 91 across the 4 of their papers we have counts for

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6 papers · 1 filter

cs.CV2024

VLAD-BuFF: Burst-aware Fast Feature Aggregation for Visual Place Recognition

Ahmad Khaliq, Ming Xu, Stephen Hausler +2

Visual Place Recognition (VPR) is a crucial component of many visual localization pipelines for embodied agents. VPR is often formulated as an image retrieval task aimed at jointly…

cs.CV2023

GeoAdapt: Self-Supervised Test-Time Adaptation in LiDAR Place Recognition Using Geometric Priors

Joshua Knights, Stephen Hausler, Sridha Sridharan +2

LiDAR place recognition approaches based on deep learning suffer from significant performance degradation when there is a shift between the distribution of training and test datase…

cs.CV2023

DisPlacing Objects: Improving Dynamic Vehicle Detection via Visual Place Recognition under Adverse Conditions

Stephen Hausler, Sourav Garg, Punarjay Chakravarty +3

Can knowing where you are assist in perceiving objects in your surroundings, especially under adverse weather and lighting conditions? In this work we investigate whether a prior m…

cs.CV20211 cited

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…

cs.CV2020

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…

cs.CV2019

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…