Immersive & Creative Technologies Lab
  • Home
  • About
  • People
  • Publications
  • Courses
  • Contact
Sign in Subscribe
tracking

Tracking and Identification of Ice Hockey Players

Charalambos (Charis) Poullis

Aug 28, 2023
Tracking and Identification of Ice Hockey Players

Our paper Tracking and Identification of Ice Hockey Players has been published as a conference paper at the International Conference on Computer Vision Systems (ICVS), 2023. The work is co-authored by Qiao Chen and Charalambos Poullis.

Sign up for more like this.

Enter your email
Subscribe
A novel AI-driven approach to redirected walking in virtual reality that eliminates the need for eye-tracking hardware.
Featured

A novel AI-driven approach to redirected walking in virtual reality that eliminates the need for eye-tracking hardware.

Our patent "Methods and Systems for Real-Time Saccade Prediction" has been granted. TL;DR: A machine learning system that predicts natural saccadic eye movements in real-time, enabling redirected walking in virtual environments by leveraging inattentional blindness—without requiring expensive eye-tracking equipment or artificially triggering major saccades in users.
Jan 8, 2026 1 min read
Extreme Views: 3DGS Filter for Novel View Synthesis from Out‑of‑Distribution Camera Poses
Featured

Extreme Views: 3DGS Filter for Novel View Synthesis from Out‑of‑Distribution Camera Poses

The paper “Extreme Views: 3DGS Filter for Novel View Synthesis from Out‑of‑Distribution Camera Poses” by Damian Bowness and Charalambos Poullis will appear in the 20th International Symposium on Visual Computing (ISVC), 2025. TL;DR: A plug‑in, real‑time filter for 3D Gaussian Splatting that performs a rotation‑
Jan 8, 2026 1 min read
Fast Self-Supervised Depth and Mask Aware Association for Multi-Object Tracking
Featured

Fast Self-Supervised Depth and Mask Aware Association for Multi-Object Tracking

The paper “Fast Self-Supervised Depth and Mask Aware Association for Multi-Object Tracking” by Milad Khanchi, Maria Amer, and Charalambos Poullis has been accepted for publication at British Machine Vision Conference (BMVC) 2025. TL;DR: SelfTrEncMOT is a novel multi-object tracking framework that integrates zero-shot monocular depth estimation and promptable segmentation
Aug 19, 2025 1 min read
Immersive & Creative Technologies Lab © 2026
  • Sign up
Powered by Ghost