research
∙
09/18/2023
Object2Scene: Putting Objects in Context for Open-Vocabulary 3D Detection
Point cloud-based open-vocabulary 3D object detection aims to detect 3D ...
share
research
∙
09/14/2023
Unified Human-Scene Interaction via Prompted Chain-of-Contacts
Human-Scene Interaction (HSI) is a vital component of fields like embodi...
research
∙
06/05/2023
Scene as Occupancy
Human driver can easily describe the complex traffic scene by visual sys...
research
∙
03/29/2023
DORT: Modeling Dynamic Objects in Recurrent for Multi-Camera 3D Object Detection and Tracking
Recent multi-camera 3D object detectors usually leverage temporal inform...
research
∙
03/23/2023
MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training
This paper introduces the Masked Voxel Jigsaw and Reconstruction (MV-JAR...
research
∙
03/23/2023
Position-Guided Point Cloud Panoptic Segmentation Transformer
DEtection TRansformer (DETR) started a trend that uses a group of learna...
research
∙
08/04/2022
Vision-Centric BEV Perception: A Survey
Vision-centric BEV perception has recently received increased attention ...
research
∙
07/26/2022
Monocular 3D Object Detection with Depth from Motion
Perceiving 3D objects from monocular inputs is crucial for robotic syste...
research
∙
07/26/2022
MV-FCOS3D++: Multi-View Camera-Only 4D Object Detection with Pretrained Monocular Backbones
In this technical report, we present our solution, dubbed MV-FCOS3D++, f...
research
∙
03/24/2022
MonoDETR: Depth-aware Transformer for Monocular 3D Object Detection
Monocular 3D object detection has long been a challenging task in autono...
research
∙
11/24/2021
Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion
Chamfer Distance (CD) and Earth Mover's Distance (EMD) are two broadly a...
research
∙
09/12/2021
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-based Perception
State-of-the-art methods for driving-scene LiDAR-based perception (inclu...
research
∙
08/22/2021
SIDE: Center-based Stereo 3D Detector with Structure-aware Instance Depth Estimation
3D detection plays an indispensable role in environment perception. Due ...
research
∙
07/29/2021
Probabilistic and Geometric Depth: Detecting Objects in Perspective
3D object detection is an important capability needed in various practic...
research
∙
04/22/2021
FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection
Monocular 3D object detection is an important task for autonomous drivin...
research
∙
11/20/2020
FLAVA: Find, Localize, Adjust and Verify to Annotate LiDAR-Based Point Clouds
Recent years have witnessed the rapid progress of perception algorithms ...
research
∙
11/19/2020
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation
State-of-the-art methods for large-scale driving-scene LiDAR segmentatio...
research
∙
04/06/2020
SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds
Multi-class 3D object detection aims to localize and classify objects of...
research
∙
04/06/2020
Reconfigurable Voxels: A New Representation for LiDAR-Based Point Clouds
LiDAR is an important method for autonomous driving systems to sense the...
research
∙
02/12/2016
