1 citations · 2 across the 4 of their papers we have counts for
5 papers · 1 filter
S3CE-Net: Spike-guided Spatiotemporal Semantic Coupling and Expansion Network for Long Sequence Event Re-Identification
Xianheng Ma, Hongchen Tan, Xiuping Liu +5
In this paper, we leverage the advantages of event cameras to resist harsh lighting conditions, reduce background interference, achieve high time resolution, and protect facial inf…
Multi-modal Collaborative Optimization and Expansion Network for Event-assisted Single-eye Expression Recognition
Runduo Han, Xiuping Liu, Shangxuan Yi +2
In this paper, we proposed a Multi-modal Collaborative Optimization and Expansion Network (MCO-E Net), to use event modalities to resist challenges such as low light, high exposure…
Asymmetrical Siamese Network for Point Clouds Normal Estimation
Wei Jin, Jun Zhou, Nannan Li +2
In recent years, deep learning-based point cloud normal estimation has made great progress. However, existing methods mainly rely on the PCPNet dataset, leading to overfitting. In…
Refining 3D Point Cloud Normal Estimation via Sample Selection
Jun Zhou, Yaoshun Li, Hongchen Tan +3
In recent years, point cloud normal estimation, as a classical and foundational algorithm, has garnered extensive attention in the field of 3D geometric processing. Despite the rem…
Spectrum-guided Feature Enhancement Network for Event Person Re-Identification
Hongchen Tan, Yi Zhang, Xiuping Liu +4
As a cutting-edge biosensor, the event camera holds significant potential in the field of computer vision, particularly regarding privacy preservation. However, compared to traditi…