no code implementations • 11 Jan 2024 • Ly-Duyen Tran, Cathal Gurrin, Alan F. Smeaton
Personal data includes the digital footprints that we leave behind as part of our everyday activities, both online and offline in the real world.
1 code implementation • 23 Mar 2023 • Chenyang Lyu, Manh-Duy Nguyen, Van-Tu Ninh, Liting Zhou, Cathal Gurrin, Jennifer Foster
Recent years have witnessed an increasing amount of dialogue/conversation on the web especially on social media.
2 code implementations • 11 Jan 2023 • Manh-Duy Nguyen, Binh T. Nguyen, Cathal Gurrin
It is not easy to propose a new model with a novel architecture and intensively train it on a massive dataset with many GPUs to surpass many SOTA models, which are already available to use on the Internet.
no code implementations • 18 Mar 2022 • Van-Tu Ninh, Sinéad Smyth, Minh-Triet Tran, Cathal Gurrin
The results from the experiment show that training the model with (comparatively low-cost) low-resolution EDA signal does not affect the stress detection accuracy of the model significantly compared to using a high-resolution EDA signal.
no code implementations • 18 Mar 2022 • Van-Tu Ninh, Manh-Duy Nguyen, Sinéad Smyth, Minh-Triet Tran, Graham Healy, Binh T. Nguyen, Cathal Gurrin
Using our proposed model architecture, we compare the accuracy between stress detection models that use measures from each individual signal source, and one model employing the fusion of multiple sensor sources.
1 code implementation • 4 Jun 2021 • Manh-Duy Nguyen, Binh T. Nguyen, Cathal Gurrin
In this paper, we introduce the Local and Global Scene Graph Matching (LGSGM) model that enhances the state-of-the-art method by integrating an extra graph convolution network to capture the general information of a graph.
Ranked #4 on Image Retrieval on Flickr30K 1K test
2 code implementations • 28 Aug 2018 • Panagiotis Linardos, Eva Mohedano, Monica Cherto, Cathal Gurrin, Xavier Giro-i-Nieto
This work adapts a deep neural model for image saliency prediction to the temporal domain of egocentric video.