3 papers
cs.CV2026
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…
cs.RO2026
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-…
cs.RO2025
Is Semantic SLAM Ready for Embedded Systems ? A Comparative Survey
Calvin Galagain, Martyna Poreba, François Goulette
In embedded systems, robots must perceive and interpret their environment efficiently to operate reliably in real-world conditions. Visual Semantic SLAM (Simultaneous Localization…