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Segment any point cloud sequences by distilling vision foundation models
Recent advancements in vision foundation models (VFMs) have opened up new
possibilities for versatile and efficient visual perception. In this work, we introduce Seal, a …
possibilities for versatile and efficient visual perception. In this work, we introduce Seal, a …
Multi-space alignments towards universal lidar segmentation
A unified and versatile LiDAR segmentation model with strong robustness and
generalizability is desirable for safe autonomous driving perception. This work presents …
generalizability is desirable for safe autonomous driving perception. This work presents …
Uniseg: A unified multi-modal lidar segmentation network and the openpcseg codebase
Abstract Point-, voxel-, and range-views are three representative forms of point clouds. All of
them have accurate 3D measurements but lack color and texture information. RGB images …
them have accurate 3D measurements but lack color and texture information. RGB images …
Unified 3d segmenter as prototypical classifiers
The task of point cloud segmentation, comprising semantic, instance, and panoptic
segmentation, has been mainly tackled by designing task-specific network architectures …
segmentation, has been mainly tackled by designing task-specific network architectures …
Is your lidar placement optimized for 3d scene understanding?
The reliability of driving perception systems under unprecedented conditions is crucial for
practical usage. Latest advancements have prompted increasing interest in multi-LiDAR …
practical usage. Latest advancements have prompted increasing interest in multi-LiDAR …