5 citations · 13 across the 4 of their papers we have counts for
4 papers
Label What Matters: Modality-Balanced and Difficulty-Aware Multimodal Active Learning
Yuqiao Zeng, Xu Wang, Tengfei Liang +3
Multimodal learning integrates complementary information from different modalities such as image, text, and audio to improve model performance, but its success relies on large-scal…
Boundary Corrected Multi-scale Fusion Network for Real-time Semantic Segmentation
Tianjiao Jiang, Yi Jin, Tengfei Liang +2
Image semantic segmentation aims at the pixel-level classification of images, which has requirements for both accuracy and speed in practical application. Existing semantic segment…
LighTN: Light-weight Transformer Network for Performance-overhead Tradeoff in Point Cloud Downsampling
Xu Wang, Yi Jin, Yigang Cen +3
Compared with traditional task-irrelevant downsampling methods, task-oriented neural networks have shown improved performance in point cloud downsampling range. Recently, Transform…
Attention Models for Point Clouds in Deep Learning: A Survey
Xu Wang, Yi Jin, Yigang Cen +2
Recently, the advancement of 3D point clouds in deep learning has attracted intensive research in different application domains such as computer vision and robotic tasks. However,…