activity
20162022
most citedMultiRes-NetVLAD: Augmenting Place Recognition Training with Low-Resolution Imagery

50 citations · 103 across the 3 of their papers we have counts for

collaborators

8 papers

cs.CV202250 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.NI2019

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…

cs.CV2019

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.CV201918 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.NI2019

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…

cs.CV201935 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…