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- Peking UniversityCN39 papers
- University of Chinese Academy of SciencesCN26 papers
- Harbin Institute of TechnologyCN25 papers
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- Tsinghua UniversityCN23 papers
- Southern University of Science and TechnologyCN19 papers
- Beihang UniversityCN18 papers
- Chinese Academy of SciencesCN16 papers
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23 papers · 1 filter
LLHA-Net: A Hierarchical Attention Network for Two-View Correspondence Learning
Shuyuan Lin, Yu Guo, Xiao Chen +3
Establishing the correct correspondence of feature points is a fundamental task in computer vision. However, the presence of numerous outliers among the feature points can signific…
MGCA-Net: Multi-Graph Contextual Attention Network for Two-View Correspondence Learning
Shuyuan Lin, Mengtin Lo, Haosheng Chen +2
Two-view correspondence learning is a key task in computer vision, which aims to establish reliable matching relationships for applications such as camera pose estimation and 3D re…
Hardware-Aware DNN Compression for Homogeneous Edge Devices
Kunlong Zhang, Guiying Li, Ning Lu +2
Deploying deep neural networks (DNNs) across homogeneous edge devices (the devices with the same SKU labeled by the manufacturer) often assumes identical performance among them. Ho…
DMC: Dual-Modal Counterfactual Contrastive Construction for Egocentric Video Question Answering
Jiayi Zou, Chaofan Chen, Bing-Kun Bao +1
Egocentric Video Question Answering (Egocentric VideoQA) plays an important role in egocentric video understanding, which refers to answering questions based on first-person videos…
ARPGNet: Appearance- and Relation-aware Parallel Graph Attention Fusion Network for Facial Expression Recognition
Yan Li, Yong Zhao, Xiaohan Xia +1
The key to facial expression recognition is to learn discriminative spatial-temporal representations that embed facial expression dynamics. Previous studies predominantly rely on p…
SwordRiding: A Unified Navigation Framework for Quadrotors in Unknown Complex Environments via Online Guiding Vector Fields
Xuchen Liu, Ruocheng Li, Bin Xin +5
Although quadrotor navigation has achieved high performance in trajectory planning and control, real-time adaptability in unknown complex environments remains a core challenge. Thi…