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20212024
most citedProbabilistic Visual Place Recognition for Hierarchical Localization

32 citations · 58 across the 9 of their papers we have counts for

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5 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.CV2022★ 2 cited

DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection

Ziyuan Zhao, Mingxi Xu, Peisheng Qian +2

Deep learning has achieved notable success in 3D object detection with the advent of large-scale point cloud datasets. However, severe performance degradation in the past trained c…

cs.CV2022★ 5 cited

Improving Road Segmentation in Challenging Domains Using Similar Place Priors

Connor Malone, Sourav Garg, Ming Xu +2

Road segmentation in challenging domains, such as night, snow or rain, is a difficult task. Most current approaches boost performance using fine-tuning, domain adaptation, style tr…

cs.CV2021★ 32 cited

Probabilistic Visual Place Recognition for Hierarchical Localization

Ming Xu, Niko Sünderhauf, Michael Milford

Visual localization techniques often comprise a hierarchical localization pipeline, with a visual place recognition module used as a coarse localizer to initialize a pose refinemen…

cs.CV2021★ 1 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…