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ICT Lab @ Concordia University

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Aug 1, 2015
ICT Lab @ Concordia University

As of August 1st, 2015 the Immersive and Creative Technologies Lab is a member lab of the 3D Graphics Group.

The 3D Graphics Group is part of the Department of Computer Science and Software Engineering, Faculty of Engineering and Computer Science, Concordia University.

 

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Fast Self-Supervised Depth and Mask Aware Association for Multi-Object Tracking
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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
Depth-Aware Scoring and Hierarchical Alignment for Multiple Object Tracking

Depth-Aware Scoring and Hierarchical Alignment for Multiple Object Tracking

The paper 'Depth-Aware Scoring and Hierarchical Alignment for Multiple Object Tracking' by Milad Khanchi, Maria Amer, and Charalambos Poullis has been accepted for publication in IEEE International Conference on Image Processing (ICIP) 2025. TL;DR: DepthMOT is a cutting-edge multiple object tracking framework that enhances object association by
Jun 10, 2025 1 min read
DSV-LFS: Unifying LLM-Driven Semantic Cues with Visual Features for Robust Few-Shot Segmentation
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DSV-LFS: Unifying LLM-Driven Semantic Cues with Visual Features for Robust Few-Shot Segmentation

The paper 'DSV-LFS: Unifying LLM-Driven Semantic Cues with Visual Features for Robust Few-Shot Segmentation' by Amin Karimi and Charalambos Poullis has been accepted for publication in IEEE/CVF Computer Vision and Pattern Recognition (CVPR) 2025. TL;DR: The paper introduces DSV-LFS, a framework that boosts few-shot semantic segmentation
Apr 8, 2025 1 min read
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