441 citations · 472 across the 6 of their papers we have counts for
7 papers
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.…
Joint Geometric-Semantic Driven Character Line Drawing Generation
Cheng-Yu Fang, Xian-Feng Han
Character line drawing synthesis can be formulated as a special case of image-to-image translation problem that automatically manipulates the photo-to-line drawing style transforma…
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…