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cs.CV2026
InstAP: Instance-Aware Vision-Language Pre-Train for Spatial-Temporal Understanding
Ashutosh Kumar, Rajat Saini, Jingjing Pan +5
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 Ins…
cs.CV2024
Leveraging GNSS and Onboard Visual Data from Consumer Vehicles for Robust Road Network Estimation
Balázs Opra, Betty Le Dem, Jeffrey M. Walls +2
Maps are essential for diverse applications, such as vehicle navigation and autonomous robotics. Both require spatial models for effective route planning and localization. This pap…