226 citations
- Baidu (China)CN10 papers
- University of KentuckyUS3 papers
- Beijing Institute of TechnologyCN2 papers
- Northwestern Polytechnical UniversityCN2 papers
- Rutgers, The State University of New JerseyUS2 papers
- Shandong UniversityCN2 papers
- Arizona State UniversityUS1 paper
- Australian Centre for Robotic VisionAU1 paper
- Australian National UniversityAU1 paper
- Beihang UniversityCN1 paper
- Beijing University of Posts and TelecommunicationsCN1 paper
- ETH ZurichCH1 paper
7 papers · 1 filter
A Representation Separation Perspective to Correspondences-free Unsupervised 3D Point Cloud Registration
Zhiyuan Zhang, Jiadai Sun, Yuchao Dai +3
3D point cloud registration in remote sensing field has been greatly advanced by deep learning based methods, where the rigid transformation is either directly regressed from the t…
Large Scale Autonomous Driving Scenarios Clustering with Self-supervised Feature Extraction
Jinxin Zhao, Jin Fang, Zhixian Ye +1
The clustering of autonomous driving scenario data can substantially benefit the autonomous driving validation and simulation systems by improving the simulation tests' completenes…
Channel Attention based Iterative Residual Learning for Depth Map Super-Resolution
Xibin Song, Yuchao Dai, Dingfu Zhou +4
Despite the remarkable progresses made in deep-learning based depth map super-resolution (DSR), how to tackle real-world degradation in low-resolution (LR) depth maps remains a maj…
FaceScape: a Large-scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction
Haotian Yang, Hao Zhu, Yanru Wang +4
In this paper, we present a large-scale detailed 3D face dataset, FaceScape, and propose a novel algorithm that is able to predict elaborate riggable 3D face models from a single i…
LiDAR-based Online 3D Video Object Detection with Graph-based Message Passing and Spatiotemporal Transformer Attention
Junbo Yin, Jianbing Shen, Chenye Guan +2
Existing LiDAR-based 3D object detectors usually focus on the single-frame detection, while ignoring the spatiotemporal information in consecutive point cloud frames. In this paper…
A Unified Object Motion and Affinity Model for Online Multi-Object Tracking
Junbo Yin, Wenguan Wang, Qinghao Meng +2
Current popular online multi-object tracking (MOT) solutions apply single object trackers (SOTs) to capture object motions, while often requiring an extra affinity network to assoc…