research
∙
07/31/2023
Digging Into Uncertainty-based Pseudo-label for Robust Stereo Matching
Due to the domain differences and unbalanced disparity distribution acro...
share
research
∙
01/29/2023
LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object Detection
LiDAR devices are widely used in autonomous driving scenarios and resear...
research
∙
12/10/2022
Multi-Sem Fusion: Multimodal Semantic Fusion for 3D Object Detection
LiDAR-based 3D Object detectors have achieved impressive performances in...
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
∙
07/04/2022
Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation Models
While fine-tuning pre-trained networks has become a popular way to train...
research
∙
03/24/2022
A Representation Separation Perspective to Correspondences-free Unsupervised 3D Point Cloud Registration
3D point cloud registration in remote sensing field has been greatly adv...
research
∙
10/28/2021
End-to-end Learning the Partial Permutation Matrix for Robust 3D Point Cloud Registration
Even though considerable progress has been made in deep learning-based 3...
research
∙
08/25/2021
AutoShape: Real-Time Shape-Aware Monocular 3D Object Detection
Existing deep learning-based approaches for monocular 3D object detectio...
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
∙
03/10/2021
MapFusion: A General Framework for 3D Object Detection with HDMaps
3D object detection is a key perception component in autonomous driving....
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
∙
07/17/2020
DVI: Depth Guided Video Inpainting for Autonomous Driving
To get clear street-view and photo-realistic simulation in autonomous dr...
research
∙
07/16/2020
PerMO: Perceiving More at Once from a Single Image for Autonomous Driving
We present a novel approach to detect, segment, and reconstruct complete...
research
∙
06/02/2020
Channel Attention based Iterative Residual Learning for Depth Map Super-Resolution
Despite the remarkable progresses made in deep-learning based depth map ...
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
∙
03/15/2020
Learning 2D-3D Correspondences To Solve The Blind Perspective-n-Point Problem
Conventional absolute camera pose via a Perspective-n-Point (PnP) solver...
research
∙
08/11/2019
IoU Loss for 2D/3D Object Detection
In 2D/3D object detection task, Intersection-over-Union (IoU) has been w...
research
∙
03/03/2019
Ground Plane based Absolute Scale Estimation for Monocular Visual Odometry
Recovering the absolute metric scale from a monocular camera is a challe...
research
∙
11/29/2018
ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving
Autonomous driving has attracted remarkable attention from both industry...
research
∙
11/17/2018
Simulating LIDAR Point Cloud for Autonomous Driving using Real-world Scenes and Traffic Flows
We present a LIDAR simulation framework that can automatically generate ...
research
∙
09/08/2018
RealPoint3D: Point Cloud Generation from a Single Image with Complex Background
3D point cloud generation by the deep neural network from a single image...
research
∙
03/16/2018
The ApolloScape Dataset for Autonomous Driving
Scene parsing aims to assign a class (semantic) label for each pixel in ...
research
∙
07/12/2017
