Xiaoyang Wu

According to our database, Xiaoyang Wu authored at least 19 papers between 2022 and 2024.

Collaborative distances:

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

2024

OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation.

Bohao Peng, Xiaoyang Wu, Li Jiang, Yukang Chen, Hengshuang Zhao, Zhuotao Tian, Jiaya Jia

CoRR, 2024

GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D Understanding.

Chengyao Wang, Li Jiang, Xiaoyang Wu, Zhuotao Tian, Bohao Peng, Hengshuang Zhao, Jiaya Jia

CoRR, 2024

2023

Point Transformer V3: Simpler, Faster, Stronger.

Xiaoyang Wu, Li Jiang, Peng-Shuai Wang, Zhijian Liu, Xihui Liu, Yu Qiao, Wanli Ouyang, Tong He, Hengshuang Zhao

CoRR, 2023

DreamComposer: Controllable 3D Object Generation via Multi-View Conditions.

Yunhan Yang, Yukun Huang, Xiaoyang Wu, Yuan-Chen Guo, Song-Hai Zhang, Hengshuang Zhao, Tong He, Xihui Liu

CoRR, 2023

GPT4Point: A Unified Framework for Point-Language Understanding and Generation.

Zhangyang Qi, Ye Fang, Zeyi Sun, Xiaoyang Wu, Tong Wu, Jiaqi Wang, Dahua Lin, Hengshuang Zhao

CoRR, 2023

PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm.

Haoyi Zhu, Honghui Yang, Xiaoyang Wu, Di Huang, Sha Zhang, Xianglong He, Tong He, Hengshuang Zhao, Chunhua Shen, Yu Qiao, Wanli Ouyang

CoRR, 2023

UniPAD: A Universal Pre-training Paradigm for Autonomous Driving.

Honghui Yang, Sha Zhang, Di Huang, Xiaoyang Wu, Haoyi Zhu, Tong He, Shixiang Tang, Hengshuang Zhao, Qibo Qiu, Binbin Lin, Xiaofei He, Wanli Ouyang

CoRR, 2023

OpenIns3D: Snap and Lookup for 3D Open-vocabulary Instance Segmentation.

Zhening Huang, Xiaoyang Wu, Xi Chen, Hengshuang Zhao, Lei Zhu, Joan Lasenby

CoRR, 2023

Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training.

Xiaoyang Wu, Zhuotao Tian, Xin Wen, Bohao Peng, Xihui Liu, Kaicheng Yu, Hengshuang Zhao

CoRR, 2023

Hierarchical Dense Correlation Distillation for Few-Shot Segmentation-Extended Abstract.

Bohao Peng, Zhuotao Tian, Xiaoyang Wu, Chengyao Wang, Shu Liu, Jingyong Su, Jiaya Jia

CoRR, 2023

SAM3D: Segment Anything in 3D Scenes.

Yunhan Yang, Xiaoyang Wu, Tong He, Hengshuang Zhao, Xihui Liu

CoRR, 2023

OCBEV: Object-Centric BEV Transformer for Multi-View 3D Object Detection.

Zhangyang Qi, Jiaqi Wang, Xiaoyang Wu, Hengshuang Zhao

CoRR, 2023

Hierarchical Dense Correlation Distillation for Few-Shot Segmentation.

Bohao Peng, Zhuotao Tian, Xiaoyang Wu, Chenyao Wang, Shu Liu, Jingyong Su, Jiaya Jia

CoRR, 2023

GeoSpark: Sparking up Point Cloud Segmentation with Geometry Clue.

Zhening Huang, Xiaoyang Wu, Hengshuang Zhao, Lei Zhu, Shujun Wang, Georgios M. Hadjidemetriou, Ioannis K. Brilakis

CoRR, 2023

Understanding Imbalanced Semantic Segmentation Through Neural Collapse.

Zhisheng Zhong, Jiequan Cui, Yibo Yang, Xiaoyang Wu, Xiaojuan Qi, Xiangyu Zhang, Jiaya Jia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Hierarchical Dense Correlation Distillation for Few-Shot Segmentation.

Bohao Peng, Zhuotao Tian, Xiaoyang Wu, Chengyao Wang, Shu Liu, Jingyong Su, Jiaya Jia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds.

Jiahui Liu, Chirui Chang, Jianhui Liu, Xiaoyang Wu, Lan Ma, Xiaojuan Qi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Masked Scene Contrast: A Scalable Framework for Unsupervised 3D Representation Learning.

Xiaoyang Wu, Xin Wen, Xihui Liu, Hengshuang Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Point Transformer V2: Grouped Vector Attention and Partition-based Pooling.

Xiaoyang Wu, Yixing Lao, Li Jiang, Xihui Liu, Hengshuang Zhao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022