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20072024
most citedVPR-Bench: An Open-Source Visual Place Recognition Evaluation Framework with Quantifiable Viewpoint and Appearance Change

147 citations · 353 across the 55 of their papers we have counts for

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Showing 2019Show all

10 papers · 1 filter

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★ 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

Visual Place Recognition for Aerial Robotics: Exploring Accuracy-Computation Trade-off for Local Image Descriptors

Bruno Ferrarini, Maria Waheed, Sania Waheed +3

Visual Place Recognition (VPR) is a fundamental yet challenging task for small Unmanned Aerial Vehicle (UAV). The core reasons are the extreme viewpoint changes, and limited comput…

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★ 1 cited

DisplaceNet: Recognising Displaced People from Images by Exploiting Dominance Level

Grigorios Kalliatakis, Shoaib Ehsan, Maria Fasli +1

Every year millions of men, women and children are forced to leave their homes and seek refuge from wars, human rights violations, persecution, and natural disasters. The number of…

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.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.CV2019★ 1 cited

Assessing Capsule Networks With Biased Data

Bruno Ferrarini, Shoaib Ehsan, Adrien Bartoli +2

Machine learning based methods achieves impressive results in object classification and detection. Utilizing representative data of the visual world during the training phase is cr…

cs.CV2019

TMAV: Temporal Motionless Analysis of Video using CNN in MPSoC

Somdip Dey, Amit K. Singh, Dilip K. Prasad +1

Analyzing video for traffic categorization is an important pillar of Intelligent Transport Systems. However, it is difficult to analyze and predict traffic based on image frames be…

cs.CV2019

GET-AID: Visual Recognition of Human Rights Abuses via Global Emotional Traits

Grigorios Kalliatakis, Shoaib Ehsan, Maria Fasli +1

In the era of social media and big data, the use of visual evidence to document conflict and human rights abuse has become an important element for human rights organizations and a…