3 citations · 6 across the 17 of their papers we have counts for
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cs.CV2025
MinkOcc: Towards real-time label-efficient semantic occupancy prediction
Samuel Sze, Daniele De Martini, Lars Kunze
Developing 3D semantic occupancy prediction models often relies on dense 3D annotations for supervised learning, a process that is both labor and resource-intensive, underscoring t…
cs.CV2023
Explainable Action Prediction through Self-Supervision on Scene Graphs
Pawit Kochakarn, Daniele De Martini, Daniel Omeiza +1
This work explores scene graphs as a distilled representation of high-level information for autonomous driving, applied to future driver-action prediction. Given the scarcity and s…