In recent years, much progress has been made in LiDAR-based 3D object
de...
We present NeRFVS, a novel neural radiance fields (NeRF) based method to...
LiDAR-based 3D object detection and panoptic segmentation are two crucia...
We consider the problem of domain adaptation in LiDAR-based 3D object
de...
Data is a fundamental building block for LiDAR perception systems.
Unfor...
3D object detection using LiDAR data is an indispensable component for
a...
A fast and accurate panoptic segmentation system for LiDAR point clouds ...
Curbs are one of the essential elements of urban and highway traffic
env...
In this paper, we focus on a less explored, but more realistic and compl...
Autonomous robotic systems and self driving cars rely on accurate percep...
In this paper, we propose a Bidirectional Attention Network (BANet), an
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Semantic segmentation of point clouds is a key component of scene
unders...
In this paper, we strive for solving the ambiguities arisen by the
astou...
We present a learning-based method to estimate the object bounding box f...
While several convolution-like operators have recently been proposed for...