Our paper Enabling saccadic redirection through real-time saccade prediction has been published as a journal paper in Computer Animation and Virtual World 2023. The work is co-authored by Yashas Joshi and Charalambos Poullis. Link to the paper: https://onlinelibrary.wiley.com/doi/10.1002/cav.2167 Gameplay: Here's a video

Congratulations to Bodhiswatta Chatterjee for being awarded the FRQNT Doctoral Research Scholarship! The FRQNT Doctoral Research Scholarship is a highly competitive and prestigious award, reflecting the excellent quality of his research and academic potential. As a graduate from the Immersive and Creative Technologies Lab, Bodhi has already demonstrated strong skills

Our paper "End-to-End Multi-View Structure-from-Motion with Hypercorrelation Volumes" has been accepted as a conference paper at the IEEE International Conference on Signal Processing, Sensors, and Intelligent Systems (SPSIS), 2022. The paper is co-authored by Qiao Chen, and Charalambos Poullis. Abstract: Image-based 3D reconstruction is one of the most important tasks

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

Our work on "Unsupervised Structure-Consistent Image-to-Image Translation " has been accepted as a conference paper at the 17th International Symposium on Visual Computing (ISVC), 2022. The paper is co-authored by Shima Shahfar and Charalambos Poullis. Abstract: The Swapping Autoencoder achieved state-of-the-art performance in deep image manipulation and image-to-image translation. We improve