Simpler is better: Multilevel Abstraction with Graph Convolutional Recurrent Neural Network Cells for Traffic Prediction

Simpler is better: Multilevel Abstraction with Graph Convolutional Recurrent Neural Network Cells for Traffic Prediction

Our paper "Simpler is better: Multilevel Abstraction with Graph Convolutional Recurrent Neural Network Cells for Traffic Prediction" has been accepted as a conference paper at the IEEE Computational Intelligence In Vehicles And Transportation Systems (CIVTS), 2022. The paper is co-authored by Naghmeh Shafiee Roudbari, Zachary Patterson, Ursula Eicker, and Charalambos
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Predicting Human Performance in Vertical Hierarchical Menu Selection in Immersive AR Using Hand-gesture and Head-gaze, HSI 2022
augmented reality Featured

Predicting Human Performance in Vertical Hierarchical Menu Selection in Immersive AR Using Hand-gesture and Head-gaze, HSI 2022

The paper titled Predicting Human Performance in Vertical Hierarchical Menu Selection in Immersive AR Using Hand-gesture and Head-gaze authored by Majid Pourmemar, Yashas Joshi and Charalambos Poullis will be presented at the 15th Conference on Human System Interaction, 2022. Abstract: There are currently limited guidelines on designing user interfaces (UI)
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Predicting Surface Reflectance Properties of Outdoor Scenes Under Unknown Natural Illumination, IEEE CG&A 2022
appearance modeling

Predicting Surface Reflectance Properties of Outdoor Scenes Under Unknown Natural Illumination, IEEE CG&A 2022

The manuscript “Predicting Surface Reflectance Properties of Outdoor Scenes Under Unknown Natural Illumination” has been accepted for publication as a journal paper at IEEE Computer Graphics & Applications, 2022. The paper is co-authored with Farhan Rahman Wasee, Alen Joy Alen, Charalambos Poullis. Abstract: Estimating and modelling the appearance of an object
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Semantic Segmentation from Remote Sensor Data and the Exploitation of Latent Learning for Classification of Auxiliary Tasks, CVIU 2021
semantic segmentation

Semantic Segmentation from Remote Sensor Data and the Exploitation of Latent Learning for Classification of Auxiliary Tasks, CVIU 2021

ICT researcher Bodhiswatta Chatterjee’s journal paper “Semantic Segmentation from Remote Sensor Data and the Exploitation of Latent Learning for Classification of Auxiliary Tasks” is published in Computer Vision and Image Understanding, 2021. The paper is co-authored by Chatterjee B., Poullis C. Abstract: In this paper, we address three different
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