50 citations · 109 across the 9 of their papers we have counts for
9 papers
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…
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…
FLAG: A Framework for FPGA-based LoAd Generation in Profinet Communication
Ahmad Khaliq, Sangeet Saha. Bina Bhatt, Dongbing Gu +2
Like other automated system technologies, PROFINET, a real-time Industrial Ethernet Standard has shown increasing level of integration into the present IT Infrastructure. Such vast…
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…
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…
Profi-Load: An FPGA-Based Solution for Generating Network Load in Profinet Communication
Ahmad Khaliq, Sangeet Saha, Bina Bhatt +2
Industrial automation has received a considerable attention in the last few years with the rise of Internet of Things (IoT). Specifically, industrial communication network technolo…
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…
A Holistic Visual Place Recognition Approach using Lightweight CNNs for Significant ViewPoint and Appearance Changes
Ahmad Khaliq, Shoaib Ehsan, Zetao Chen +2
This paper presents a lightweight visual place recognition approach, capable of achieving high performance with low computational cost, and feasible for mobile robotics under signi…
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…