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09/18/2019
Class Feature Pyramids for Video Explanation
Deep convolutional networks are widely used in video action recognition....
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05/03/2019
DisplaceNet: Recognising Displaced People from Images by Exploiting Dominance Level
Every year millions of men, women and children are forced to leave their...
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02/11/2019
GET-AID: Visual Recognition of Human Rights Abuses via Global Emotional Traits
In the era of social media and big data, the use of visual evidence to d...
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02/04/2019
Saliency Tubes: Visual Explanations for Spatio-Temporal Convolutions
Deep learning approaches have been established as the main methodology f...
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07/05/2018
MAT-CNN-SOPC: Motionless Analysis of Traffic Using Convolutional Neural Networks on System-On-a-Programmable-Chip
Intelligent Transportation Systems (ITS) have become an important pillar...
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05/12/2018
Exploring object-centric and scene-centric CNN features and their complementarity for human rights violations recognition in images
Identifying potential abuses of human rights through imagery is a novel ...
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11/09/2017
Material Classification in the Wild: Do Synthesized Training Data Generalise Better than Real-World Training Data?
We question the dominant role of real-world training images in the field...
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03/30/2017
A Paradigm Shift: Detecting Human Rights Violations Through Web Images
The growing presence of devices carrying digital cameras, such as mobile...
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03/12/2017
Detection of Human Rights Violations in Images: Can Convolutional Neural Networks help?
After setting the performance benchmarks for image, video, speech and au...
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03/12/2017
Evaluating Deep Convolutional Neural Networks for Material Classification
Determining the material category of a surface from an image is a demand...
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03/11/2017
