5 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 5 cited
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…
cs.CV2021★ 4 cited
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,…
eess.IV2021★ 2 cited
A GAN-Based Input-Size Flexibility Model for Single Image Dehazing
Shichao Kan, Yue Zhang, Fanghui Zhang +1
Image-to-image translation based on generative adversarial network (GAN) has achieved state-of-the-art performance in various image restoration applications. Single image dehazing…