TFusionOcc uses a family of Student's t-distribution T-primitives and a T-mixture model for multi-sensor 3D occupancy prediction, reporting state-of-the-art results on nuScenes.
Occfusion: Multi- sensor fusion framework for 3d semantic occupancy prediction
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A VLM-assisted adapter and gating mechanism dynamically fuses camera and LiDAR features for adverse-weather 3D semantic occupancy prediction, raising mIoU to 26.3 on OccMamba and 21.1 on M-CONet over baselines on nuScenes.
citing papers explorer
-
TFusionOcc: T-Primitive Based Object-Centric Multi-Sensor Fusion Framework for 3D Occupancy Prediction
TFusionOcc uses a family of Student's t-distribution T-primitives and a T-mixture model for multi-sensor 3D occupancy prediction, reporting state-of-the-art results on nuScenes.
-
WeatherOcc3D: VLM-Assisted Adverse Weather Aware 3D Semantic Occupancy Prediction
A VLM-assisted adapter and gating mechanism dynamically fuses camera and LiDAR features for adverse-weather 3D semantic occupancy prediction, raising mIoU to 26.3 on OccMamba and 21.1 on M-CONet over baselines on nuScenes.