9 citations · 14 across the 11 of their papers we have counts for
11 papers
Multimodal Latent Emotion Recognition from Micro-expression and Physiological Signals
Liangfei Zhang, Yifei Qian, Ognjen Arandjelovic +1
This paper discusses the benefits of incorporating multimodal data for improving latent emotion recognition accuracy, focusing on micro-expression (ME) and physiological signals (P…
Deep Multiple Instance Learning with Distance-Aware Self-Attention
Georg Wölflein, Lucie Charlotte Magister, Pietro Liò +2
Traditional supervised learning tasks require a label for every instance in the training set, but in many real-world applications, labels are only available for collections (bags)…
Magnifying Networks for Images with Billions of Pixels
Neofytos Dimitriou, Ognjen Arandjelovic
The shift towards end-to-end deep learning has brought unprecedented advances in many areas of computer vision. However, deep neural networks are trained on images with resolutions…
Prediction of future hospital admissions - what is the tradeoff between specificity and accuracy?
Ieva Vasiljeva, Ognjen Arandjelovic
Large amounts of electronic medical records collected by hospitals across the developed world offer unprecedented possibilities for knowledge discovery using computer based data mi…
Identification of promising research directions using machine learning aided medical literature analysis
Victor Andrei, Ognjen Arandjelovic
The rapidly expanding corpus of medical research literature presents major challenges in the understanding of previous work, the extraction of maximum information from collected da…
A note on the capability profile - localized increase in force production and its effect on overall resistance training performance
Ognjen Arandjelovic
In this article I resolve formally the apparent paradox that arises in the context of the computational model of resistance exercise introduced in my previous work. Contrary to int…