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Simon Boeder

2 accepted papers

2026

ShelfOcc: Native 3D Supervision beyond LiDAR for Vision-Based Occupancy Estimation

CVPR 2026

Recent progress in self- and weakly supervised occupancy estimation has largely relied on 2D projection or rendering-based supervision, which suffers from geometric inconsistencies and severe depth bleeding.We thus introduce ShelfOcc, a vision-only method that overcomes these limitations without rel

Cited by 3SourceScholar
2025

GaussianFlowOcc: Sparse and Weakly Supervised Occupancy Estimation using Gaussian Splatting and Temporal Flow

ICCV 2025poster

Occupancy estimation has become a prominent task in 3D computer vision, particularly within the autonomous driving community. In this paper, we present a novel approach to occupancy estimation, termed GaussianFlowOcc, which is inspired by Gaussian Splatting and replaces traditional dense voxel grids…

Cited by 0SourcePDFScholar