activity
20172024
most citedDisplaceNet: Recognising Displaced People from Images by Exploiting Dominance Level

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Employing Universal Voting Schemes for Improved Visual Place Recognition Performance

Maria Waheed, Michael Milford, Xiaojun Zhai +3

Visual Place Recognition has been the subject of many endeavours utilizing different ensemble approaches to improve VPR performance. Ideas like multi-process fusion, Fly-Inspired V…

cs.CV20191 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.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…

cs.CV2018

Exploring object-centric and scene-centric CNN features and their complementarity for human rights violations recognition in images

Grigorios Kalliatakis, Shoaib Ehsan, Ales Leonardis +1

Identifying potential abuses of human rights through imagery is a novel and challenging task in the field of computer vision, that will enable to expose human rights violations ove…

cs.CV2017

Detection of Human Rights Violations in Images: Can Convolutional Neural Networks help?

Grigorios Kalliatakis, Shoaib Ehsan, Maria Fasli +3

After setting the performance benchmarks for image, video, speech and audio processing, deep convolutional networks have been core to the greatest advances in image recognition tas…