3 citations · 3 across the 2 of their papers we have counts for
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cs.CV2024
Can We Remove the Ground? Obstacle-aware Point Cloud Compression for Remote Object Detection
Pengxi Zeng, Alberto Presta, Jonah Reinis +3
Efficient point cloud (PC) compression is crucial for streaming applications, such as augmented reality and cooperative perception. Classic PC compression techniques encode all the…
cs.CV2024★ 3 cited
SparseLIF: High-Performance Sparse LiDAR-Camera Fusion for 3D Object Detection
Hongcheng Zhang, Liu Liang, Pengxin Zeng +2
Sparse 3D detectors have received significant attention since the query-based paradigm embraces low latency without explicit dense BEV feature construction. However, these detector…