60 citations
- Tsinghua UniversityCN11 papers
- Peking UniversityCN6 papers
- Shanghai Jiao Tong UniversityCN6 papers
- South China University of TechnologyCN5 papers
- Huawei Technologies (China)CN4 papers
- Peng Cheng LaboratoryCN4 papers
- The University of SydneyAU4 papers
- University of Chinese Academy of SciencesCN4 papers
- Chinese Academy of SciencesCN3 papers
- Huawei Technologies (United Kingdom)GB3 papers
- Nanjing UniversityCN3 papers
- Xiamen UniversityCN3 papers
21 papers · 1 filter
Learning Versatile Convolution Filters for Efficient Visual Recognition
Kai Han, Yunhe Wang, Chang Xu +3
This paper introduces versatile filters to construct efficient convolutional neural networks that are widely used in various visual recognition tasks. Considering the demands of ef…
Voxel Transformer for 3D Object Detection
Jiageng Mao, Yujing Xue, Minzhe Niu +5
We present Voxel Transformer (VoTr), a novel and effective voxel-based Transformer backbone for 3D object detection from point clouds. Conventional 3D convolutional backbones in vo…
Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks
Zhihao Liang, Zhihao Li, Songcen Xu +2
Instance segmentation in 3D scenes is fundamental in many applications of scene understanding. It is yet challenging due to the compound factors of data irregularity and uncertaint…
Fastening the Initial Access in 5G NR Sidelink for 6G V2X Networks
Marouan Mizmizi, Francesco Linsalata, Mattia Brambilla +8
The ever-increasing demand for intelligent, automated, and connected mobility solutions pushes for the development of an innovative sixth Generation (6G) of cellular networks. A ra…
Automatic Construction of Sememe Knowledge Bases via Dictionaries
Fanchao Qi, Yangyi Chen, Fengyu Wang +3
A sememe is defined as the minimum semantic unit in linguistics. Sememe knowledge bases (SKBs), which comprise words annotated with sememes, enable sememes to be applied to natural…
Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger
Fanchao Qi, Mukai Li, Yangyi Chen +4
Backdoor attacks are a kind of insidious security threat against machine learning models. After being injected with a backdoor in training, the victim model will produce adversary-…