Jiuming Liu

According to our database, Jiuming Liu authored at least 31 papers between 2023 and 2026.

Collaborative distances:

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

2026

Rethinking Image-to-3D Generation with Sparse Queries: Efficiency, Capacity, and Input-View Bias.

Zhiyuan Xu, Jiuming Liu, Yuxin Chen, Masayoshi Tomizuka, Chenfeng Xu, Chensheng Peng

CoRR, April, 2026

DriveVA: Video Action Models are Zero-Shot Drivers.

Mengmeng Liu, Diankun Zhang, Jiuming Liu, Jianfeng Cui, Hongwei Xie, Guang Chen, Hangjun Ye, Michael Ying Yang, Francesco Nex, Hao Cheng

CoRR, April, 2026

DifFlow3D: Hierarchical Diffusion Models for Uncertainty-Aware 3D Scene Flow Estimation.

Jiuming Liu, Weicai Ye, Guangming Wang, Chaokang Jiang, Lei Pan, Jinru Han, Zhe Liu, Guofeng Zhang, Hesheng Wang

IEEE Trans. Pattern Anal. Mach. Intell., March, 2026

VectorWorld: Efficient Streaming World Model via Diffusion Flow on Vector Graphs.

Chaokang Jiang, Desen Zhou, Jiuming Liu, Kevin Li Sun

CoRR, March, 2026

RL-ScanIQA: Reinforcement-Learned Scanpaths for Blind 360°Image Quality Assessment.

Yujia Wang, Yuyan Li, Jiuming Liu, Fang-Lue Zhang, Xinhu Zheng, Neil A. Dodgson

CoRR, March, 2026

RegFormer++: An Efficient Large-Scale 3D LiDAR Point Registration Network with Projection-Aware 2D Transformer.

Jiuming Liu, Guangming Wang, Zhe Liu, Chaokang Jiang, Haoang Li, Mengmeng Liu, Tianchen Deng, Marc Pollefeys, Michael Ying Yang, Hesheng Wang

CoRR, March, 2026

4DSTR: Advancing Generative 4D Gaussians with Spatial-Temporal Rectification for High-Quality and Consistent 4D Generation.

Mengmeng Liu, Jiuming Liu, Yunpeng Zhang, Jiangtao Li, Michael Ying Yang, Francesco Nex, Hao Cheng

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

GRS-SLAM3R: Real-Time Dense SLAM with Gated Recurrent State.

Guole Shen, Tianchen Deng, Yanbo Wang, Yongtao Chen, Yilin Shen, Jiuming Liu, Jingchuan Wang

CoRR, September, 2025

Unsupervised Learning of 3D Scene Flow With LiDAR Odometry Assistance.

Guangming Wang, Zhiheng Feng, Chaokang Jiang, Jiuming Liu, Hesheng Wang

IEEE Trans. Intell. Transp. Syst., April, 2025

DiffusionDC: Depth Completion Using Deformable Diffusion Model.

Zehang Shen, Jiuming Liu, Haidong Hu, Yong Wang, Fan Xu

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2025

Large-Scale Visual Re-localization through Cross-Modality Registration of NeRF and Image Features.

Yichen Sha, Jiuming Liu, Guangming Wang, Haidong Hu, Yong Wang, Fan Xu

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2025

PCPMamba: Large-Scale Point Cloud Prediction based on Spatio-temporal State Space Models.

Igor Mihajlovic, Jiuming Liu, Hesheng Wang

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2025

SemGauss-SLAM: Dense Semantic Gaussian Splatting SLAM.

Siting Zhu, Renjie Qin, Guangming Wang, Jiuming Liu, Hesheng Wang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

TopoLiDM: Topology-Aware LiDAR Diffusion Models for Interpretable and Realistic LiDAR Point Cloud Generation.

Jiuming Liu, Zheng Huang, Mengmeng Liu, Tianchen Deng, Francesco Nex, Hao Cheng, Hesheng Wang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

CGS-SLAM: Compact 3D Gaussian Splatting for Dense Visual SLAM.

Tianchen Deng, Yaohui Chen, Jianfei Yang, Shenghai Yuan, Jiuming Liu, Danwei Wang, Weidong Chen

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

DVLO4D: Deep Visual-Lidar Odometry with Sparse Spatial-Temporal Fusion.

Mengmeng Liu, Michael Ying Yang, Jiuming Liu, Yunpeng Zhang, Jiangtao Li, Sander Oude Elberink, George Vosselman, Hao Cheng

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Mamba4D: Efficient 4D Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models.

Jiuming Liu, Jinru Han, Lihao Liu, Angelica I. Avilés-Rivero, Chaokang Jiang, Zhe Liu, Hesheng Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

EADReg: Probabilistic Correspondence Generation with Efficient Autoregressive Diffusion Model for Outdoor Point Cloud Registration.

Linrui Gong, Jiuming Liu, Junyi Ma, Lihao Liu, Yaonan Wang, Hesheng Wang

CoRR, 2024

MAMBA4D: Efficient Long-Sequence Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models.

Jiuming Liu, Jinru Han, Lihao Liu, Angelica I. Avilés-Rivero, Chaokang Jiang, Zhe Liu, Hesheng Wang

CoRR, 2024

NeuroGauss4D-PCI: 4D Neural Fields and Gaussian Deformation Fields for Point Cloud Interpolation.

Chaokang Jiang, Dalong Du, Jiuming Liu, Siting Zhu, Zhe Liu, Zhuang Ma, Zhujin Liang, Jie Zhou

CoRR, 2024

Point Mamba: A Novel Point Cloud Backbone Based on State Space Model with Octree-Based Ordering Strategy.

Jiuming Liu, Ruiji Yu, Yian Wang, Yu Zheng, Tianchen Deng, Weicai Ye, Hesheng Wang

CoRR, 2024

Spherical Frustum Sparse Convolution Network for LiDAR Point Cloud Semantic Segmentation.

Yu Zheng, Guangming Wang, Jiuming Liu, Marc Pollefeys, Hesheng Wang

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

NeuroGauss4D-PCI: 4D Neural Fields and Gaussian Deformation Fields for Point Cloud Interpolation.

Chaokang Jiang, Dalong Du, Jiuming Liu, Siting Zhu, Zhenqiang Liu, Zhuang Ma, Zhujin Liang, Jie Zhou

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

DVLO: Deep Visual-LiDAR Odometry with Local-to-Global Feature Fusion and Bi-directional Structure Alignment.

Jiuming Liu, Dong Zhuo, Zhiheng Feng, Siting Zhu, Chensheng Peng, Zhe Liu, Hesheng Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

SNI-SLAM: Semantic Neural Implicit SLAM.

Siting Zhu, Guangming Wang, Hermann Blum, Jiuming Liu, Liang Song, Marc Pollefeys, Hesheng Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Iterative Diffusion-Based Refinement.

Jiuming Liu, Guangming Wang, Weicai Ye, Chaokang Jiang, Jinru Han, Zhe Liu, Guofeng Zhang, Dalong Du, Hesheng Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

3DSFLabelling: Boosting 3D Scene Flow Estimation by Pseudo Auto-Labelling.

Chaokang Jiang, Guangming Wang, Jiuming Liu, Hesheng Wang, Zhuang Ma, Zhenqiang Liu, Zhujin Liang, Yi Shan, Dalong Du

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Diffusion Model.

Jiuming Liu, Guangming Wang, Weicai Ye, Chaokang Jiang, Jinru Han, Zhe Liu, Guofeng Zhang, Dalong Du, Hesheng Wang

CoRR, 2023

SC-NeRF: Self-Correcting Neural Radiance Field with Sparse Views.

Liang Song, Guangming Wang, Jiuming Liu, Zhenyang Fu, Yanzi Miao, Hesheng Wang

CoRR, 2023

RegFormer: An Efficient Projection-Aware Transformer Network for Large-Scale Point Cloud Registration.

Jiuming Liu, Guangming Wang, Zhe Liu, Chaokang Jiang, Marc Pollefeys, Hesheng Wang

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

TransLO: A Window-Based Masked Point Transformer Framework for Large-Scale LiDAR Odometry.

Jiuming Liu, Guangming Wang, Chaokang Jiang, Zhe Liu, Hesheng Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023