19 citations · 19 across the 4 of their papers we have counts for
4 papers
Quantized Adaptive Subgradient Algorithms and Their Applications
Ke Xu, Jianqiao Wangni, Yifan Zhang +3
Data explosion and an increase in model size drive the remarkable advances in large-scale machine learning, but also make model training time-consuming and model storage difficult.…
Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds
Yifan Zhang, Qingyong Hu, Guoquan Xu +3
We study the problem of efficient object detection of 3D LiDAR point clouds. To reduce the memory and computational cost, existing point-based pipelines usually adopt task-agnostic…
Adaptive Channel Encoding for Point Cloud Analysis
Guoquan Xu, Hezhi Cao, Yifan Zhang +3
Attention mechanism plays a more and more important role in point cloud analysis and channel attention is one of the hotspots. With so much channel information, it is difficult for…
Dual-Neighborhood Deep Fusion Network for Point Cloud Analysis
Guoquan Xu, Hezhi Cao, Yifan Zhang +3
Recently, deep neural networks have made remarkable achievements in 3D point cloud classification. However, existing classification methods are mainly implemented on idealized poin…