151 citations · 152 across the 10 of their papers we have counts for
4 papers · 1 filter
Spectral Heat Flow for Conservative Token Condensation in Vision-Language Models
Zhaoyang Li, Yanjun Li, Wangkai Li +2
Vision-Language Models (VLMs) are costly at inference time because they must process long sequences of visual tokens. Existing token pruning methods often degrade under high compre…
Adaptive Augmentation-Aware Latent Learning for Robust LiDAR Semantic Segmentation
Wangkai Li, Zhaoyang Li, Yuwen Pan +3
Adverse weather conditions significantly degrade the performance of LiDAR point cloud semantic segmentation networks by introducing large distribution shifts. Existing augmentation…
DA-Cal: Towards Cross-Domain Calibration in Semantic Segmentation
Wangkai Li, Rui Sun, Zhaoyang Li +2
While existing unsupervised domain adaptation (UDA) methods greatly enhance target domain performance in semantic segmentation, they often neglect network calibration quality, resu…
Towards Robust Pseudo-Label Learning in Semantic Segmentation: An Encoding Perspective
Wangkai Li, Rui Sun, Zhaoyang Li +1
Pseudo-label learning is widely used in semantic segmentation, particularly in label-scarce scenarios such as unsupervised domain adaptation (UDA) and semisupervised learning (SSL)…