Point cloud-based open-vocabulary 3D object detection aims to detect 3D
...
Human-Scene Interaction (HSI) is a vital component of fields like embodi...
Human driver can easily describe the complex traffic scene by visual sys...
Recent multi-camera 3D object detectors usually leverage temporal inform...
This paper introduces the Masked Voxel Jigsaw and Reconstruction (MV-JAR...
DEtection TRansformer (DETR) started a trend that uses a group of learna...
Vision-centric BEV perception has recently received increased attention ...
Perceiving 3D objects from monocular inputs is crucial for robotic syste...
In this technical report, we present our solution, dubbed MV-FCOS3D++, f...
Monocular 3D object detection has long been a challenging task in autono...
Chamfer Distance (CD) and Earth Mover's Distance (EMD) are two broadly
a...
State-of-the-art methods for driving-scene LiDAR-based perception (inclu...
3D detection plays an indispensable role in environment perception. Due ...
3D object detection is an important capability needed in various practic...
Monocular 3D object detection is an important task for autonomous drivin...
Recent years have witnessed the rapid progress of perception algorithms ...
State-of-the-art methods for large-scale driving-scene LiDAR segmentatio...
Multi-class 3D object detection aims to localize and classify objects of...
LiDAR is an important method for autonomous driving systems to sense the...
The relationship between reading and writing (RRW) is one of the major t...