research
∙
08/10/2023
Self-Supervised Monocular Depth Estimation by Direction-aware Cumulative Convolution Network
Monocular depth estimation is known as an ill-posed task in which object...
share
research
∙
05/25/2023
Language-Guided 3D Object Detection in Point Cloud for Autonomous Driving
This paper addresses the problem of 3D referring expression comprehensio...
research
∙
12/06/2022
SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point Cloud
LiDAR-based 3D object detection is an indispensable task in advanced aut...
research
∙
07/26/2022
Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection from Point Clouds
Previous works for LiDAR-based 3D object detection mainly focus on the s...
research
∙
07/26/2022
Semi-supervised 3D Object Detection with Proficient Teachers
Dominated point cloud-based 3D object detectors in autonomous driving sc...
research
∙
07/26/2022
ProposalContrast: Unsupervised Pre-training for LiDAR-based 3D Object Detection
Existing approaches for unsupervised point cloud pre-training are constr...
research
∙
06/23/2021
FusionPainting: Multimodal Fusion with Adaptive Attention for 3D Object Detection
Accurate detection of obstacles in 3D is an essential task for autonomou...
research
∙
03/05/2021
IAFA: Instance-aware Feature Aggregation for 3D Object Detection from a Single Image
3D object detection from a single image is an important task in Autonomo...
research
∙
04/03/2020
LiDAR-based Online 3D Video Object Detection with Graph-based Message Passing and Spatiotemporal Transformer Attention
Existing LiDAR-based 3D object detectors usually focus on the single-fra...
research
∙
03/25/2020
A Unified Object Motion and Affinity Model for Online Multi-Object Tracking
Current popular online multi-object tracking (MOT) solutions apply singl...
research
∙
08/11/2019