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20212024
most citedProbabilistic Appearance-Invariant Topometric Localization with New Place Awareness

10 citations · 23 across the 6 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.CV20222 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.CV20225 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

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.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…