Betty Le Dem — accepted AI-conference papers

2026

InstAP: Instance-Aware Vision-Language Pre-Train for Spatial-Temporal Understanding

Ashutosh Kumar, Rajat Saini, Jingjing Pan, Mustafa Erdogan, Mingfang Zhang, Betty Le Dem +2

CVPR 2026

Current vision-language pre-training (VLP) paradigms excel at global scene understanding but struggle with instance-level reasoning due to global-only supervision. We introduce InstAP, an Instance-Aware Pre-training framework that jointly optimizes global vision-text alignment and fine-grained, inst

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2024

Leveraging GNSS and Onboard Visual Data from Consumer Vehicles for Robust Road Network Estimation

Balázs Opra, Betty Le Dem, Jeffrey M. Walls, Dimitar Lukarski, Cyrill Stachniss

IROS 2024poster

Maps are essential for diverse applications, such as vehicle navigation and autonomous robotics. Both require spatial models for effective route planning and localization. This paper addresses the challenge of road graph construction for autonomous vehicles. Despite recent advances, creating a road…

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