441 citations · 472 across the 6 of their papers we have counts for
6 papers · 1 filter
CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving
Hui-Xian Cheng, Xian-Feng Han, Guo-Qiang Xiao
Accurate and fast scene understanding is one of the challenging task for autonomous driving, which requires to take full advantage of LiDAR point clouds for semantic segmentation.…
Cross-Level Cross-Scale Cross-Attention Network for Point Cloud Representation
Xian-Feng Han, Zhang-Yue He, Jia Chen +1
Self-attention mechanism recently achieves impressive advancement in Natural Language Processing (NLP) and Image Processing domains. And its permutation invariance property makes i…
Dual Transformer for Point Cloud Analysis
Xian-Feng Han, Yi-Fei Jin, Hui-Xian Cheng +1
Following the tremendous success of transformer in natural language processing and image understanding tasks, in this paper, we present a novel point cloud representation learning…
Point Cloud Learning with Transformer
Qi Zhong, Xian-Feng Han
Remarkable performance from Transformer networks in Natural Language Processing promote the development of these models in dealing with computer vision tasks such as image recognit…
Image-based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era
Xian-Feng Han, Hamid Laga, Mohammed Bennamoun
3D reconstruction is a longstanding ill-posed problem, which has been explored for decades by the computer vision, computer graphics, and machine learning communities. Since 2015,…
3D Point Cloud Descriptors in Hand-crafted and Deep Learning Age: State-of-the-Art
Xian-Feng Han, Shi-Jie Sun, Xiang-Yu Song +1
The introduction of inexpensive 3D data acquisition devices has promisingly facilitated the wide availability and popularity of 3D point cloud, which attracts more attention to the…