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
10 papers
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…
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks
Yulong Cao*, Ningfei Wang*, Chaowei Xiao* +6
In Autonomous Driving (AD) systems, perception is both security and safety critical. Despite various prior studies on its security issues, all of them only consider attacks on came…
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…
Spatial Object Recommendation with Hints: When Spatial Granularity Matters
Hui Luo, Jingbo Zhou, Zhifeng Bao +5
Existing spatial object recommendation algorithms generally treat objects identically when ranking them. However, spatial objects often cover different levels of spatial granularit…
Intelligent Exploration for User Interface Modules of Mobile App with Collective Learning
Jingbo Zhou, Zhenwei Tang, Min Zhao +6
A mobile app interface usually consists of a set of user interface modules. How to properly design these user interface modules is vital to achieving user satisfaction for a mobile…
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…