21 citations · 46 across the 7 of their papers we have counts for
7 papers
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,…
Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution
Yeying Jin, Beibei Lin, Wending Yan +3
Visibility in hazy nighttime scenes is frequently reduced by multiple factors, including low light, intense glow, light scattering, and the presence of multicolored light sources.…
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…
Gait Recognition with Mask-based Regularization
Chuanfu Shen, Beibei Lin, Shunli Zhang +3
Most gait recognition methods exploit spatial-temporal representations from static appearances and dynamic walking patterns. However, we observe that many part-based methods neglec…
GaitStrip: Gait Recognition via Effective Strip-based Feature Representations and Multi-Level Framework
Ming Wang, Beibei Lin, Xianda Guo +5
Many gait recognition methods first partition the human gait into N-parts and then combine them to establish part-based feature representations. Their gait recognition performance…
Gait Recognition via Effective Global-Local Feature Representation and Local Temporal Aggregation
Beibei Lin, Shunli Zhang, Xin Yu
Gait recognition is one of the most important biometric technologies and has been applied in many fields. Recent gait recognition frameworks represent each gait frame by descriptor…