Xiang Xu

According to our database, Xiang Xu authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Point Transformer V3 Extreme: 1st Place Solution for 2024 Waymo Open Dataset Challenge in Semantic Segmentation.

Xiaoyang Wu, Xiang Xu, Lingdong Kong, Liang Pan, Ziwei Liu, Tong He, Wanli Ouyang, Hengshuang Zhao

CoRR, 2024

An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models.

Jiahao Sun, Chunmei Qing, Xiang Xu, Lingdong Kong, Youquan Liu, Li Li, Chenming Zhu, Jingwei Zhang, Zeqi Xiao, Runnan Chen, Tai Wang, Wenwei Zhang, Kai Chen

CoRR, 2024

Multi-Modal Data-Efficient 3D Scene Understanding for Autonomous Driving.

Lingdong Kong, Xiang Xu, Jiawei Ren, Wenwei Zhang, Liang Pan, Kai Chen, Wei Tsang Ooi, Ziwei Liu

CoRR, 2024

Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding.

Lingdong Kong, Xiang Xu, Jun Cen, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu

CoRR, 2024

4D Contrastive Superflows are Dense 3D Representation Learners.

Xiang Xu, Lingdong Kong, Hui Shuai, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu, Qingshan Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation.

Xiang Xu, Lingdong Kong, Hui Shuai, Qingshan Liu

CoRR, 2023

2022

CED-Net: contextual encoder-decoder network for 3D face reconstruction.

Lei Zhu, Shanmin Wang, Zengqun Zhao, Xiang Xu, Qingshan Liu

Multim. Syst., 2022

Waterfall-Net: Waterfall Feature Aggregation for Point Cloud Semantic Segmentation.

Hui Shuai, Xiang Xu, Qingshan Liu

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

2021

Backward Attentive Fusing Network With Local Aggregation Classifier for 3D Point Cloud Semantic Segmentation.

Hui Shuai, Xiang Xu, Qingshan Liu

IEEE Trans. Image Process., 2021