Jiuming Liu - RankMe

38 papers A* 10A 3Journal 21Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	4DSTR: Advancing Generative 4D Gaussians with Spatial-Temporal Rectification for High-Quality and Consistent 4D Generation. AAAI Mengmeng Liu, Jiuming Liu, Yunpeng Zhang, Jiangtao Li, Michael Ying Yang, Francesco Nex, Hao Cheng
2026	J	`jnl`	DifFlow3D: Hierarchical Diffusion Models for Uncertainty-Aware 3D Scene Flow Estimation. IEEE Trans. Pattern Anal. Mach. Intell. Jiuming Liu, Weicai Ye, Guangming Wang, Chaokang Jiang, Lei Pan, Jinru Han, Zhe Liu, Guofeng Zhang, Hesheng Wang
2026	J	`jnl`	RL-ScanIQA: Reinforcement-Learned Scanpaths for Blind 360°Image Quality Assessment. CoRR Yujia Wang, Yuyan Li, Jiuming Liu, Fang-Lue Zhang, Xinhu Zheng, Neil A. Dodgson
2026	J	`jnl`	RegFormer++: An Efficient Large-Scale 3D LiDAR Point Registration Network with Projection-Aware 2D Transformer. CoRR Jiuming Liu, Guangming Wang, Zhe Liu, Chaokang Jiang, Haoang Li, Mengmeng Liu, Tianchen Deng, Marc Pollefeys, Michael Ying Yang, Hesheng Wang
2026	J	`jnl`	VectorWorld: Efficient Streaming World Model via Diffusion Flow on Vector Graphs. CoRR Chaokang Jiang, Desen Zhou, Jiuming Liu, Kevin Li Sun
2025	J	`jnl`	4DSTR: Advancing Generative 4D Gaussians with Spatial-Temporal Rectification for High-Quality and Consistent 4D Generation. CoRR Mengmeng Liu, Jiuming Liu, Yunpeng Zhang, Jiangtao Li, Michael Ying Yang, Francesco Nex, Hao Cheng
2025	A	`conf`	CGS-SLAM: Compact 3D Gaussian Splatting for Dense Visual SLAM. IROS Tianchen Deng, Yaohui Chen, Jianfei Yang, Shenghai Yuan, Jiuming Liu, Danwei Wang, Weidong Chen
2025	A*	`conf`	DVLO4D: Deep Visual-Lidar Odometry with Sparse Spatial-Temporal Fusion. ICRA Mengmeng Liu, Michael Ying Yang, Jiuming Liu, Yunpeng Zhang, Jiangtao Li, Sander Oude Elberink, George Vosselman, Hao Cheng
2025	J	`jnl`	DVLO4D: Deep Visual-Lidar Odometry with Sparse Spatial-temporal Fusion. CoRR Mengmeng Liu, Michael Ying Yang, Jiuming Liu, Yunpeng Zhang, Jiangtao Li, Sander Oude Elberink, George Vosselman, Hao Cheng
2025	—	`conf`	DiffusionDC: Depth Completion Using Deformable Diffusion Model. RCAR Zehang Shen, Jiuming Liu, Haidong Hu, Yong Wang, Fan Xu
2025	J	`jnl`	GRS-SLAM3R: Real-Time Dense SLAM with Gated Recurrent State. CoRR Guole Shen, Tianchen Deng, Yanbo Wang, Yongtao Chen, Yilin Shen, Jiuming Liu, Jingchuan Wang
2025	—	`conf`	Large-Scale Visual Re-localization through Cross-Modality Registration of NeRF and Image Features. RCAR Yichen Sha, Jiuming Liu, Guangming Wang, Haidong Hu, Yong Wang, Fan Xu
2025	A*	`conf`	Mamba4D: Efficient 4D Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models. CVPR Jiuming Liu, Jinru Han, Lihao Liu, Angelica I. Avilés-Rivero, Chaokang Jiang, Zhe Liu, Hesheng Wang
2025	—	`conf`	PCPMamba: Large-Scale Point Cloud Prediction based on Spatio-temporal State Space Models. RCAR Igor Mihajlovic, Jiuming Liu, Hesheng Wang
2025	A	`conf`	SemGauss-SLAM: Dense Semantic Gaussian Splatting SLAM. IROS Siting Zhu, Renjie Qin, Guangming Wang, Jiuming Liu, Hesheng Wang
2025	A	`conf`	TopoLiDM: Topology-Aware LiDAR Diffusion Models for Interpretable and Realistic LiDAR Point Cloud Generation. IROS Jiuming Liu, Zheng Huang, Mengmeng Liu, Tianchen Deng, Francesco Nex, Hao Cheng, Hesheng Wang
2025	J	`jnl`	TopoLiDM: Topology-Aware LiDAR Diffusion Models for Interpretable and Realistic LiDAR Point Cloud Generation. CoRR Jiuming Liu, Zheng Huang, Mengmeng Liu, Tianchen Deng, Francesco Nex, Hao Cheng, Hesheng Wang
2025	J	`jnl`	Unsupervised Learning of 3D Scene Flow With LiDAR Odometry Assistance. IEEE Trans. Intell. Transp. Syst. Guangming Wang, Zhiheng Feng, Chaokang Jiang, Jiuming Liu, Hesheng Wang
2024	A*	`conf`	3DSFLabelling: Boosting 3D Scene Flow Estimation by Pseudo Auto-Labelling. CVPR Chaokang Jiang, Guangming Wang, Jiuming Liu, Hesheng Wang, Zhuang Ma, Zhenqiang Liu, Zhujin Liang, Yi Shan, Dalong Du
2024	J	`jnl`	3DSFLabelling: Boosting 3D Scene Flow Estimation by Pseudo Auto-labelling. CoRR Chaokang Jiang, Guangming Wang, Jiuming Liu, Hesheng Wang, Zhuang Ma, Zhenqiang Liu, Zhujin Liang, Yi Shan, Dalong Du
2024	J	`jnl`	DVLO: Deep Visual-LiDAR Odometry with Local-to-Global Feature Fusion and Bi-Directional Structure Alignment. CoRR Jiuming Liu, Dong Zhuo, Zhiheng Feng, Siting Zhu, Chensheng Peng, Zhe Liu, Hesheng Wang
2024	—	`conf`	DVLO: Deep Visual-LiDAR Odometry with Local-to-Global Feature Fusion and Bi-directional Structure Alignment. ECCV (10) Jiuming Liu, Dong Zhuo, Zhiheng Feng, Siting Zhu, Chensheng Peng, Zhe Liu, Hesheng Wang
2024	A*	`conf`	DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Iterative Diffusion-Based Refinement. CVPR Jiuming Liu, Guangming Wang, Weicai Ye, Chaokang Jiang, Jinru Han, Zhe Liu, Guofeng Zhang, Dalong Du, Hesheng Wang
2024	J	`jnl`	EADReg: Probabilistic Correspondence Generation with Efficient Autoregressive Diffusion Model for Outdoor Point Cloud Registration. CoRR Linrui Gong, Jiuming Liu, Junyi Ma, Lihao Liu, Yaonan Wang, Hesheng Wang
2024	J	`jnl`	MAMBA4D: Efficient Long-Sequence Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models. CoRR Jiuming Liu, Jinru Han, Lihao Liu, Angelica I. Avilés-Rivero, Chaokang Jiang, Zhe Liu, Hesheng Wang
2024	A*	`conf`	NeuroGauss4D-PCI: 4D Neural Fields and Gaussian Deformation Fields for Point Cloud Interpolation. NeurIPS Chaokang Jiang, Dalong Du, Jiuming Liu, Siting Zhu, Zhenqiang Liu, Zhuang Ma, Zhujin Liang, Jie Zhou
2024	J	`jnl`	NeuroGauss4D-PCI: 4D Neural Fields and Gaussian Deformation Fields for Point Cloud Interpolation. CoRR Chaokang Jiang, Dalong Du, Jiuming Liu, Siting Zhu, Zhe Liu, Zhuang Ma, Zhujin Liang, Jie Zhou
2024	J	`jnl`	Point Mamba: A Novel Point Cloud Backbone Based on State Space Model with Octree-Based Ordering Strategy. CoRR Jiuming Liu, Ruiji Yu, Yian Wang, Yu Zheng, Tianchen Deng, Weicai Ye, Hesheng Wang
2024	A*	`conf`	SNI-SLAM: Semantic Neural Implicit SLAM. CVPR Siting Zhu, Guangming Wang, Hermann Blum, Jiuming Liu, Liang Song, Marc Pollefeys, Hesheng Wang
2024	J	`jnl`	SemGauss-SLAM: Dense Semantic Gaussian Splatting SLAM. CoRR Siting Zhu, Renjie Qin, Guangming Wang, Jiuming Liu, Hesheng Wang
2024	A*	`conf`	Spherical Frustum Sparse Convolution Network for LiDAR Point Cloud Semantic Segmentation. NeurIPS Yu Zheng, Guangming Wang, Jiuming Liu, Marc Pollefeys, Hesheng Wang
2023	J	`jnl`	DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Diffusion Model. CoRR Jiuming Liu, Guangming Wang, Weicai Ye, Chaokang Jiang, Jinru Han, Zhe Liu, Guofeng Zhang, Dalong Du, Hesheng Wang
2023	A*	`conf`	RegFormer: An Efficient Projection-Aware Transformer Network for Large-Scale Point Cloud Registration. ICCV Jiuming Liu, Guangming Wang, Zhe Liu, Chaokang Jiang, Marc Pollefeys, Hesheng Wang
2023	J	`jnl`	RegFormer: An Efficient Projection-Aware Transformer Network for Large-Scale Point Cloud Registration. CoRR Jiuming Liu, Guangming Wang, Zhe Liu, Chaokang Jiang, Marc Pollefeys, Hesheng Wang
2023	J	`jnl`	SC-NeRF: Self-Correcting Neural Radiance Field with Sparse Views. CoRR Liang Song, Guangming Wang, Jiuming Liu, Zhenyang Fu, Yanzi Miao, Hesheng Wang
2023	J	`jnl`	SNI-SLAM: Semantic Neural Implicit SLAM. CoRR Siting Zhu, Guangming Wang, Hermann Blum, Jiuming Liu, Liang Song, Marc Pollefeys, Hesheng Wang
2023	J	`jnl`	Spherical Frustum Sparse Convolution Network for LiDAR Point Cloud Semantic Segmentation. CoRR Yu Zheng, Guangming Wang, Jiuming Liu, Marc Pollefeys, Hesheng Wang
2023	A*	`conf`	TransLO: A Window-Based Masked Point Transformer Framework for Large-Scale LiDAR Odometry. AAAI Jiuming Liu, Guangming Wang, Chaokang Jiang, Zhe Liu, Hesheng Wang