Xumin Yu

According to our database, Xumin Yu authored at least 28 papers between 2018 and 2026.

Collaborative distances:

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

2026

HY-Embodied-0.5: Embodied Foundation Models for Real-World Agents.

Tencent Robotics X, Xumin Yu, Zuyan Liu, Ziyi Wang, He Zhang, Yongming Rao, Fangfu Liu, Yani Zhang, Ruowen Zhao, Oran Wang, Yves Liang, Haitao Lin, Minghui Wang, Yubo Dong, Kevin Cheng, Bolin Ni, Rui Huang, Han Hu, Zhengyou Zhang, Linus, Shunyu Yao

CoRR, April, 2026

Spatial-TTT: Streaming Visual-based Spatial Intelligence with Test-Time Training.

Fangfu Liu, Diankun Wu, Jiawei Chi, Yimo Cai, Yi-Hsin Hung, Xumin Yu, Hao Li, Han Hu, Yongming Rao, Yueqi Duan

CoRR, March, 2026

2025

Vision Generalist Model: A Survey.

Ziyi Wang, Yongming Rao, Shuofeng Sun, Xinrun Liu, Yi Wei, Xumin Yu, Zuyan Liu, Yanbo Wang, Hongmin Liu, Jie Zhou, Jiwen Lu

Int. J. Comput. Vis., October, 2025

LLM-assisted Deep Reinforcement Learning for Satellite Range Scheduling.

Ke Li, Mingying Yang, Jing Li, Bo Peng, Xumin Yu

Proceedings of the 2025 IEEE Global Communications Conference, 2025

2024

Point-to-Pixel Prompting for Point Cloud Analysis With Pre-Trained Image Models.

Ziyi Wang, Yongming Rao, Xumin Yu, Jie Zhou, Jiwen Lu

IEEE Trans. Pattern Anal. Mach. Intell., June, 2024

FlowTurbo: Towards Real-time Flow-Based Image Generation with Velocity Refiner.

Wenliang Zhao, Minglei Shi, Xumin Yu, Jie Zhou, Jiwen Lu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

XMask3D: Cross-modal Mask Reasoning for Open Vocabulary 3D Semantic Segmentation.

Ziyi Wang, Yanbo Wang, Xumin Yu, Jie Zhou, Jiwen Lu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

ProtoComp: Diverse Point Cloud Completion with Controllable Prototype.

Xumin Yu, Yanbo Wang, Jie Zhou, Jiwen Lu

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

AdaPoinTr: Diverse Point Cloud Completion With Adaptive Geometry-Aware Transformers.

Xumin Yu, Yongming Rao, Ziyi Wang, Jiwen Lu, Jie Zhou

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Robust Signature-Based Hyperspectral Target Detection Using Dual Networks.

Yanlong Gao, Yan Feng, Xumin Yu, Shaohui Mei

IEEE Geosci. Remote. Sens. Lett., 2023

OpenVoice: Versatile Instant Voice Cloning.

Zengyi Qin, Wenliang Zhao, Xumin Yu, Xin Sun

CoRR, 2023

Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models.

Ziyi Wang, Xumin Yu, Yongming Rao, Jie Zhou, Jiwen Lu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Research on Terahertz Communication System and the Prospect on Space Applications.

Bo Sun, Xumin Yu, Mingzhang Chen, Fan Jiang, Zhongbo Zhu, Zhong Zheng

Proceedings of the 15th IEEE International Conference on Advanced Infocomm Technology, 2023

2022

Learning from Temporal Spatial Cubism for Cross-Dataset Skeleton-based Action Recognition.

Yansong Tang, Xingyu Liu, Xumin Yu, Danyang Zhang, Jiwen Lu, Jie Zhou

ACM Trans. Multim. Comput. Commun. Appl., 2022

P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting.

Ziyi Wang, Xumin Yu, Yongming Rao, Jie Zhou, Jiwen Lu

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

Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling.

Xumin Yu, Lulu Tang, Yongming Rao, Tiejun Huang, Jie Zhou, Jiwen Lu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment.

Jinglin Xu, Yongming Rao, Xumin Yu, Guangyi Chen, Jie Zhou, Jiwen Lu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation.

Ziyi Wang, Yongming Rao, Xumin Yu, Jie Zhou, Jiwen Lu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Dual-Weighted Kernel Extreme Learning Machine for Hyperspectral Imagery Classification.

Xumin Yu, Yan Feng, Yanlong Gao, Yingbiao Jia, Shaohui Mei

Remote. Sens., 2021

Hyperspectral Target Detection with an Auxiliary Generative Adversarial Network.

Yanlong Gao, Yan Feng, Xumin Yu

Remote. Sens., 2021

Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results.

Liang Pan, Tong Wu, Zhongang Cai, Ziwei Liu, Xumin Yu, Yongming Rao, Jiwen Lu, Jie Zhou, Mingye Xu, Xiaoyuan Luo, Kexue Fu, Peng Gao, Manning Wang, Yali Wang, Yu Qiao, Junsheng Zhou, Xin Wen, Peng Xiang, Yu-Shen Liu, Zhizhong Han, Yuanjie Yan, Junyi An, Lifa Zhu, Changwei Lin, Dongrui Liu, Xin Li, Francisco Gómez Fernández, Qinlong Wang, Yang Yang

CoRR, 2021

Group-aware Contrastive Regression for Action Quality Assessment.

Xumin Yu, Yongming Rao, Wenliang Zhao, Jiwen Lu, Jie Zhou

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers.

Xumin Yu, Yongming Rao, Ziyi Wang, Zuyan Liu, Jiwen Lu, Jie Zhou

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Imbalanced sample feature enhancement of hyperspectral imagery classification.

Xumin Yu, Yan Feng, Yanlong Gao

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

2020

Graph Interaction Networks for Relation Transfer in Human Activity Videos.

Yansong Tang, Yi Wei, Xumin Yu, Jiwen Lu, Jie Zhou

IEEE Trans. Circuits Syst. Video Technol., 2020

Feature Extraction and Classification of Hyperspectral Images Using Hierarchical Network.

Yanlong Gao, Yan Feng, Xumin Yu

IEEE Geosci. Remote. Sens. Lett., 2020

2019

Using WCS-FDTD Method to Study the Plasma Frequency Selective Surface.

Juan Chen, Jing Tan, Xumin Yu, Hongyu Shi

IEEE Access, 2019

2018

Kernel Extreme Learning Machine joint Spatial-spectral Information for Hyperspectral Image Classification.

Xumin Yu, Yan Feng, Zhongliang Wang, Yanlong Gao

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018