2 citations · 6 across the 7 of their papers we have counts for
7 papers
CompGS: Efficient 3D Scene Representation via Compressed Gaussian Splatting
Xiangrui Liu, Xinju Wu, Pingping Zhang +3
Gaussian splatting, renowned for its exceptional rendering quality and efficiency, has emerged as a prominent technique in 3D scene representation. However, the substantial data vo…
Multi-view Distillation based on Multi-modal Fusion for Few-shot Action Recognition(CLIP-DF)
Fei Guo, YiKang Wang, Han Qi +2
In recent years, few-shot action recognition has attracted increasing attention. It generally adopts the paradigm of meta-learning. In this field, overcoming the overlapping distri…
See SIFT in a Rain
Wei Wu, Hao Chang, Zhu Li
Rain streaks bring complicated pixel intensity changes and additional gradients, greatly obstructing the extraction of image features from background. This causes serious performan…
Discounted Thompson Sampling for Non-Stationary Bandit Problems
Han Qi, Yue Wang, Li Zhu
Non-stationary multi-armed bandit (NS-MAB) problems have recently received significant attention. NS-MAB are typically modelled in two scenarios: abruptly changing, where reward di…
Learning Dynamic Point Cloud Compression via Hierarchical Inter-frame Block Matching
Shuting Xia, Tingyu Fan, Yiling Xu +2
3D dynamic point cloud (DPC) compression relies on mining its temporal context, which faces significant challenges due to DPC's sparsity and non-uniform structure. Existing methods…
ISSTAD: Incremental Self-Supervised Learning Based on Transformer for Anomaly Detection and Localization
Wenping Jin, Fei Guo, Li Zhu
In the realm of machine learning, the study of anomaly detection and localization within image data has gained substantial traction, particularly for practical applications such as…