Search Results for author: Grigorios Kalliatakis

Found 12 papers, 7 papers with code

Class Feature Pyramids for Video Explanation

1 code implementation18 Sep 2019 Alexandros Stergiou, Georgios Kapidis, Grigorios Kalliatakis, Christos Chrysoulas, Ronald Poppe, Remco Veltkamp

We demonstrate the method on six state-of-the-art 3D convolution neural networks (CNNs) on three action recognition (Kinetics-400, UCF-101, and HMDB-51) and two egocentric action recognition datasets (EPIC-Kitchens and EGTEA Gaze+).

Action Recognition Temporal Action Localization

DisplaceNet: Recognising Displaced People from Images by Exploiting Dominance Level

1 code implementation3 May 2019 Grigorios Kalliatakis, Shoaib Ehsan, Maria Fasli, Klaus McDonald-Maier

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.

Displaced People Recognition Humanitarian +1

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

no code implementations11 Feb 2019 Grigorios Kalliatakis, Shoaib Ehsan, Maria Fasli, Klaus D. McDonald-Maier

Our hypothesis is that the emotional state of a person -- how positive or pleasant an emotion is, and the control level of the situation by the person -- are powerful cues for perceiving potential human rights violations.

MAT-CNN-SOPC: Motionless Analysis of Traffic Using Convolutional Neural Networks on System-On-a-Programmable-Chip

1 code implementation5 Jul 2018 Somdip Dey, Grigorios Kalliatakis, Sangeet Saha, Amit Kumar Singh, Shoaib Ehsan, Klaus McDonald-Maier

Intelligent Transportation Systems (ITS) have become an important pillar in modern "smart city" framework which demands intelligent involvement of machines.

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

1 code implementation12 May 2018 Grigorios Kalliatakis, Shoaib Ehsan, Ales Leonardis, Klaus McDonald-Maier

With this, we show that HRA database poses a challenge at a higher level for the well studied representation learning methods, and provide a benchmark in the task of human rights violations recognition in visual context.

Representation Learning Transfer Learning

Material Classification in the Wild: Do Synthesized Training Data Generalise Better than Real-World Training Data?

no code implementations9 Nov 2017 Grigorios Kalliatakis, Anca Sticlaru, George Stamatiadis, Shoaib Ehsan, Ales Leonardis, Juergen Gall, Klaus D. McDonald-Maier

We question the dominant role of real-world training images in the field of material classification by investigating whether synthesized data can generalise more effectively than real-world data.

General Classification Material Classification

A Paradigm Shift: Detecting Human Rights Violations Through Web Images

no code implementations30 Mar 2017 Grigorios Kalliatakis, Shoaib Ehsan, Klaus D. McDonald-Maier

The growing presence of devices carrying digital cameras, such as mobile phones and tablets, combined with ever improving internet networks have enabled ordinary citizens, victims of human rights abuse, and participants in armed conflicts, protests, and disaster situations to capture and share via social media networks images and videos of specific events.

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

no code implementations12 Mar 2017 Grigorios Kalliatakis, Shoaib Ehsan, Maria Fasli, Ales Leonardis, Juergen Gall, Klaus D. McDonald-Maier

We conduct a rigorous evaluation on a common ground by combining this dataset with different state-of-the-art deep convolutional architectures in order to achieve recognition of human rights violations.

Web-based visualisation of head pose and facial expressions changes: monitoring human activity using depth data

1 code implementation11 Mar 2017 Grigorios Kalliatakis, Nikolaos Vidakis, Georgios Triantafyllidis

Despite significant recent advances in the field of head pose estimation and facial expression recognition, raising the cognitive level when analysing human activity presents serious challenges to current concepts.

Emotion Recognition Facial Expression Recognition (FER) +1

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