4 papers
DynEoMT: Learning Object Dynamicity from Online Segmentation Queries
Calvin Galagain, Martyna Poreba, François Goulette
Video segmentation models recognize and track objects over time, but they do not indicate whether each segmented region moves independently of the observing camera. This dynamicity…
Token-Space Mask Prediction for Efficient Vision Transformer Segmentation
Calvin Galagain, Martyna Poreba, François Goulette
Query-based Vision Transformer segmentation models typically reconstruct dense spatial feature maps to predict masks, inheriting design patterns from convolutional architectures. W…
LiPS: Lightweight Panoptic Segmentation for Resource-Constrained Robotics
Calvin Galagain, Martyna Poreba, François Goulette +1
Panoptic segmentation is a key enabler for robotic perception, as it unifies semantic understanding with object-level reasoning. However, the increasing complexity of state-of-the-…
Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey
Calvin Galagain, Martyna Poreba, François Goulette
Semantic SLAM holds promise for robust robot navigation in complex environments, but its practicality on embedded systems remains uncertain. This paper presents a comparative surve…