44 citations · 87 across the 5 of their papers we have counts for
5 papers
Transformation-Invariant Network for Few-Shot Object Detection in Remote Sensing Images
Nanqing Liu, Xun Xu, Turgay Celik +2
Object detection in remote sensing images relies on a large amount of labeled data for training. However, the increasing number of new categories and class imbalance make exhaustiv…
The Wits Intelligent Teaching System: Detecting Student Engagement During Lectures Using Convolutional Neural Networks
Richard Klein, Turgay Celik
To perform contingent teaching and be responsive to students' needs during class, lecturers must be able to quickly assess the state of their audience. While effective teachers are…
Machine learning approach for the search of resonances with topological features at the Large Hadron Collider
Salah-eddine Dahbi, Joshua Choma, Bruce Mellado +4
The observation of resonances is unequivocal evidence of new physics beyond the Standard Model at the Large Hadron Collider (LHC). So far, inclusive and model dependent searches ha…
SummaryNet: A Multi-Stage Deep Learning Model for Automatic Video Summarisation
Ziyad Jappie, David Torpey, Turgay Celik
Video summarisation can be posed as the task of extracting important parts of a video in order to create an informative summary of what occurred in the video. In this paper we intr…
Human Action Recognition using Local Two-Stream Convolution Neural Network Features and Support Vector Machines
David Torpey, Turgay Celik
This paper proposes a simple yet effective method for human action recognition in video. The proposed method separately extracts local appearance and motion features using state-of…