Saad Ejaz — accepted AI-conference papers

2026

VS-Graphs: Environment-Aware 3D Scene Graphs for Visual SLAM

Ali Tourani, Saad Ejaz, Miguel Fernandez-Cortizas, Jose Luis Sanchez-Lopez, Holger Voos

ICRA 2026poster

We introduce the latest achievements and results of Visual S-Graphs (vS-Graphs), our open-source, real-time VSLAM framework that tightly couples map reconstruction to online 3D scene graph generation. vS-Graphs employs visual and depth cues to detect and localize building components, such as walls a…

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2025

Category-level Meta-learned NeRF Priors for Efficient Object Mapping

Saad Ejaz, Hriday Bavle, Laura Ribeiro, Holger Voos, Jose Luis Sanchez-Lopez

IROS 2025

In 3D object mapping, category-level priors enable efficient object reconstruction and canonical pose estimation, requiring only a single prior per semantic category (e.g., chair, book, laptop, etc.). DeepSDF has been used predominantly as a category-level shape prior, but it struggles to reconstruc

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