4 citations · 12 across the 7 of their papers we have counts for
12 papers
Refining activation downsampling with SoftPool
Alexandros Stergiou, Ronald Poppe, Grigorios Kalliatakis
Convolutional Neural Networks (CNNs) use pooling to decrease the size of activation maps. This process is crucial to increase the receptive fields and to reduce computational requi…
Class Feature Pyramids for Video Explanation
Alexandros Stergiou, Georgios Kapidis, Grigorios Kalliatakis +3
Deep convolutional networks are widely used in video action recognition. 3D convolutions are one prominent approach to deal with the additional time dimension. While 3D convolution…
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…
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…
Saliency Tubes: Visual Explanations for Spatio-Temporal Convolutions
Alexandros Stergiou, Georgios Kapidis, Grigorios Kalliatakis +3
Deep learning approaches have been established as the main methodology for video classification and recognition. Recently, 3-dimensional convolutions have been used to achieve stat…
MAT-CNN-SOPC: Motionless Analysis of Traffic Using Convolutional Neural Networks on System-On-a-Programmable-Chip
Somdip Dey, Grigorios Kalliatakis, Sangeet Saha +3
Intelligent Transportation Systems (ITS) have become an important pillar in modern "smart city" framework which demands intelligent involvement of machines. Traffic load recognitio…