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20162024
most citedMultiRes-NetVLAD: Augmenting Place Recognition Training with Low-Resolution Imagery

50 citations · 109 across the 9 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.CV2022★ 50 cited

MultiRes-NetVLAD: Augmenting Place Recognition Training with Low-Resolution Imagery

Ahmad Khaliq, Michael Milford, Sourav Garg

Visual Place Recognition (VPR) is a crucial component of 6-DoF localization, visual SLAM and structure-from-motion pipelines, tasked to generate an initial list of place match hypo…

cs.CV2019★ 4 cited

CAMAL: Context-Aware Multi-layer Attention framework for Lightweight Environment Invariant Visual Place Recognition

Ahmad Khaliq, Shoaib Ehsan, Michael Milford +1

In the last few years, Deep Convolutional Neural Networks (D-CNNs) have shown state-of-the-art (SOTA) performance for Visual Place Recognition (VPR), a pivotal component of long-te…

cs.CV2019★ 18 cited

Are State-of-the-art Visual Place Recognition Techniques any Good for Aerial Robotics?

Mubariz Zaffar, Ahmad Khaliq, Shoaib Ehsan +3

Visual Place Recognition (VPR) has seen significant advances at the frontiers of matching performance and computational superiority over the past few years. However, these evaluati…

cs.CV2019★ 35 cited

Levelling the Playing Field: A Comprehensive Comparison of Visual Place Recognition Approaches under Changing Conditions

Mubariz Zaffar, Ahmad Khaliq, Shoaib Ehsan +2

In recent years there has been significant improvement in the capability of Visual Place Recognition (VPR) methods, building on the success of both hand-crafted and learnt visual f…

cs.CV2016

A Generic Framework for Assessing the Performance Bounds of Image Feature Detectors

Shoaib Ehsan, Adrian F. Clark, Ales Leonardis +2

Since local feature detection has been one of the most active research areas in computer vision during the last decade, a large number of detectors have been proposed. The interest…