21 citations · 24 across the 4 of their papers we have counts for
4 papers · 1 filter
SSNeRF: Sparse View Semi-supervised Neural Radiance Fields with Augmentation
Xiao Cao, Beibei Lin, Bo Wang +2
Sparse view NeRF is challenging because limited input images lead to an under constrained optimization problem for volume rendering. Existing methods address this issue by relying…
NightRain: Nighttime Video Deraining via Adaptive-Rain-Removal and Adaptive-Correction
Beibei Lin, Yeying Jin, Wending Yan +4
Existing deep-learning-based methods for nighttime video deraining rely on synthetic data due to the absence of real-world paired data. However, the intricacies of the real world,…
DyGait: Exploiting Dynamic Representations for High-performance Gait Recognition
Ming Wang, Xianda Guo, Beibei Lin +5
Gait recognition is a biometric technology that recognizes the identity of humans through their walking patterns. Compared with other biometric technologies, gait recognition is mo…
GaitGL: Learning Discriminative Global-Local Feature Representations for Gait Recognition
Beibei Lin, Shunli Zhang, Ming Wang +2
Existing gait recognition methods either directly establish Global Feature Representation (GFR) from original gait sequences or generate Local Feature Representation (LFR) from sev…