Weiming Zhi - RankMe

66 papers A* 6A 6Misc 3Journal 46Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Affordance Transfer Across Object Instances via Semantically Anchored Functional Map. CoRR Xiaoxiang Dong, Weiming Zhi
2026	J	`jnl`	Constraining Streaming Flow Models for Adapting Learned Robot Trajectory Distributions. CoRR Jieting Long, Dechuan Liu, Weidong Cai, Ian Manchester, Weiming Zhi
2026	J	`jnl`	ContraMap: Contrastive Uncertainty Mapping for Robot Environment Representation. CoRR Chi Cuong Le, Weiming Zhi
2026	J	`jnl`	DOSE3: Diffusion-Based Unified Out-of-Distribution Detection on $\mathbb{SE}(3)$ Trajectories. IEEE Robotics Autom. Lett. Hongzhe Cheng, Tianyou Zheng, Ziyong Ma, Tianyi Zhang, Matthew Johnson-Roberson, Weiming Zhi
2026	J	`jnl`	Robust Bayesian Scene Reconstruction With Retrieval-Augmented Priors for Precise Grasping and Planning. IEEE Robotics Autom. Lett. Herbert Wright, Weiming Zhi, Martin Matak, Matthew Johnson-Roberson, Tucker Hermans
2026	J	`jnl`	SOFTMAP: Sim2Real Soft Robot Forward Modeling via Topological Mesh Alignment and Physics Prior. CoRR Ziyong Ma, Uksang Yoo, Jonathan Francis, Weiming Zhi, Jeffrey Ichnowski, Jean Oh
2026	J	`jnl`	TriPilot-FF: Coordinated Whole-Body Teleoperation with Force Feedback. CoRR Zihao Li, Yanan Zhou, Ranpeng Qiu, Hangyu Wu, Guoqiang Ren, Weiming Zhi
2025	J	`jnl`	Bi-Manual Joint Camera Calibration and Scene Representation. CoRR Haozhan Tang, Tianyi Zhang, Matthew Johnson-Roberson, Weiming Zhi
2025	J	`jnl`	Cross-Modal Instructions for Robot Motion Generation. CoRR William Barron, Xiaoxiang Dong, Matthew Johnson-Roberson, Weiming Zhi
2025	J	`jnl`	DOSE3 : Diffusion-based Out-of-distribution detection on SE(3) trajectories. CoRR Hongzhe Cheng, Tianyou Zheng, Tianyi Zhang, Matthew Johnson-Roberson, Weiming Zhi
2025	J	`jnl`	Efficient Construction of Implicit Surface Models From a Single Image for Motion Generation. CoRR Wei-Teng Chu, Tianyi Zhang, Matthew Johnson-Roberson, Weiming Zhi
2025	J	`jnl`	From Single Images to Motion Policies via Video-Generation Environment Representations. CoRR Weiming Zhi, Ziyong Ma, Tianyi Zhang, Matthew Johnson-Roberson
2025	J	`jnl`	GraphSeg: Segmented 3D Representations via Graph Edge Addition and Contraction. CoRR Haozhan Tang, Tianyi Zhang, Oliver Kroemer, Matthew Johnson-Roberson, Weiming Zhi
2025	J	`jnl`	Infinite Leagues Under the Sea: Photorealistic 3D Underwater Terrain Generation by Latent Fractal Diffusion Models. CoRR Tianyi Zhang, Weiming Zhi, Joshua G. Mangelson, Matthew Johnson-Roberson
2025	J	`jnl`	Joint Flow Trajectory Optimization For Feasible Robot Motion Generation from Video Demonstrations. CoRR Xiaoxiang Dong, Matthew Johnson-Roberson, Weiming Zhi
2025	J	`jnl`	Multiquery Robotic Manipulator Task Sequencing With Gromov-Hausdorff Approximations. IEEE Trans. Robotics Fouad Sukkar, Jennifer Wakulicz, Ki Myung Brian Lee, Weiming Zhi, Robert Fitch
2025	J	`jnl`	ParaEQsA: Parallel and Asynchronous Embodied Questions Scheduling and Answering. CoRR Haisheng Wang, Weiming Zhi
2025	J	`jnl`	Pedestrian trajectory prediction using goal-driven and dynamics-based deep learning framework. Expert Syst. Appl. Honghui Wang, Weiming Zhi, Gustavo Batista, Rohitash Chandra
2025	J	`jnl`	RS-ModCubes: Self-Reconfigurable, Scalable, Modular Cubic Robots for Underwater Operations. IEEE Robotics Autom. Lett. Jiaxi Zheng, Guangmin Dai, Botao He, Zhaoyang Mu, Zhaochen Meng, Tianyi Zhang, Weiming Zhi, Dixia Fan
2025	J	`jnl`	RecGS: Removing Water Caustic With Recurrent Gaussian Splatting. IEEE Robotics Autom. Lett. Tianyi Zhang, Weiming Zhi, Braden Meyers, Nelson Durrant, Kaining Huang, Joshua G. Mangelson, Corina Barbalata, Matthew Johnson-Roberson
2025	J	`jnl`	Teaching Periodic Stable Robot Motion Generation via Sketch. IEEE Robotics Autom. Lett. Weiming Zhi, Haozhan Tang, Tianyi Zhang, Matthew Johnson-Roberson
2024	J	`jnl`	3D Foundation Models Enable Simultaneous Geometry and Pose Estimation of Grasped Objects. CoRR Weiming Zhi, Haozhan Tang, Tianyi Zhang, Matthew Johnson-Roberson
2024	A	`conf`	DarkGS: Learning Neural Illumination and 3D Gaussians Relighting for Robotic Exploration in the Dark. IROS Tianyi Zhang, Kaining Huang, Weiming Zhi, Matthew Johnson-Roberson
2024	J	`jnl`	DarkGS: Learning Neural Illumination and 3D Gaussians Relighting for Robotic Exploration in the Dark. CoRR Tianyi Zhang, Kaining Huang, Weiming Zhi, Matthew Johnson-Roberson
2024	J	`jnl`	Diagrammatic Instructions to Specify Spatial Objectives and Constraints with Applications to Mobile Base Placement. CoRR Qilin Sun, Weiming Zhi, Tianyi Zhang, Matthew Johnson-Roberson
2024	A*	`conf`	Instructing Robots by Sketching: Learning from Demonstration via Probabilistic Diagrammatic Teaching. ICRA Weiming Zhi, Tianyi Zhang, Matthew Johnson-Roberson
2024	J	`jnl`	Learning to Represent Surroundings, Anticipate Motion and Take Informed Actions in Unstructured Environments. CoRR Weiming Zhi
2024	J	`jnl`	ModCube: Modular, Self-Assembling Cubic Underwater Robot. CoRR Jiaxi Zheng, Guangmin Dai, Botao He, Zhaoyang Mu, Zhaochen Meng, Tianyi Zhang, Weiming Zhi, Dixia Fan
2024	A	`conf`	Neural Kinodynamic Planning: Learning for KinoDynamic Tree Expansion. IROS Tin Lai, Weiming Zhi, Tucker Hermans, Fabio Ramos
2024	A*	`conf`	Pedestrian Trajectory Prediction Using Dynamics-based Deep Learning. ICRA Honghui Wang, Weiming Zhi, Gustavo Batista, Rohitash Chandra
2024	J	`jnl`	PhotoReg: Photometrically Registering 3D Gaussian Splatting Models. CoRR Ziwen Yuan, Tianyi Zhang, Matthew Johnson-Roberson, Weiming Zhi
2024	J	`jnl`	RecGS: Removing Water Caustic with Recurrent Gaussian Splatting. CoRR Tianyi Zhang, Weiming Zhi, Kaining Huang, Joshua G. Mangelson, Corina Barbalata, Matthew Johnson-Roberson
2024	J	`jnl`	Robust Bayesian Scene Reconstruction by Leveraging Retrieval-Augmented Priors. CoRR Herbert Wright, Weiming Zhi, Matthew Johnson-Roberson, Tucker Hermans
2024	J	`jnl`	Simultaneous Geometry and Pose Estimation of Held Objects Via 3D Foundation Models. IEEE Robotics Autom. Lett. Weiming Zhi, Haozhan Tang, Tianyi Zhang, Matthew Johnson-Roberson
2024	J	`jnl`	SplaTraj: Camera Trajectory Generation with Semantic Gaussian Splatting. CoRR Xinyi Liu, Tianyi Zhang, Matthew Johnson-Roberson, Weiming Zhi
2024	A	`conf`	Teaching Robots Where To Go And How To Act With Human Sketches via Spatial Diagrammatic Instructions. IROS Qilin Sun, Weiming Zhi, Tianyi Zhang, Matthew Johnson-Roberson
2024	J	`jnl`	Unifying Representation and Calibration With 3D Foundation Models. IEEE Robotics Autom. Lett. Weiming Zhi, Haozhan Tang, Tianyi Zhang, Matthew Johnson-Roberson
2024	J	`jnl`	Unifying Scene Representation and Hand-Eye Calibration with 3D Foundation Models. CoRR Weiming Zhi, Haozhan Tang, Tianyi Zhang, Matthew Johnson-Roberson
2024	A	`conf`	V-PRISM: Probabilistic Mapping of Unknown Tabletop Scenes. IROS Herbert Wright, Weiming Zhi, Matthew Johnson-Roberson, Tucker Hermans
2024	J	`jnl`	V-PRISM: Probabilistic Mapping of Unknown Tabletop Scenes. CoRR Herbert Wright, Weiming Zhi, Matthew Johnson-Roberson, Tucker Hermans
2023	A*	`conf`	Global and Reactive Motion Generation with Geometric Fabric Command Sequences. ICRA Weiming Zhi, Iretiayo Akinola, Karl Van Wyk, Nathan D. Ratliff, Fabio Ramos
2023	J	`jnl`	Learning Orbitally Stable Systems for Diagrammatically Teaching. CoRR Weiming Zhi, Kangni Liu, Tianyi Zhang, Matthew Johnson-Roberson
2023	J	`jnl`	Learning from Demonstration via Probabilistic Diagrammatic Teaching. CoRR Weiming Zhi, Tianyi Zhang, Matthew Johnson-Roberson
2023	J	`jnl`	Pedestrian Trajectory Prediction Using Dynamics-based Deep Learning. CoRR Honghui Wang, Weiming Zhi, Gustavo Batista, Rohitash Chandra
2022	—	`conf`	Diffeomorphic Transforms for Generalised Imitation Learning. L4DC Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos
2022	J	`jnl`	L4KDE: Learning for KinoDynamic Tree Expansion. CoRR Tin Lai, Weiming Zhi, Tucker Hermans, Fabio Ramos
2022	A*	`conf`	Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks. ICML Weiming Zhi, Tin Lai, Lionel Ott, Edwin V. Bonilla, Fabio Ramos
2021	A*	`conf`	Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements. ICRA Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos
2021	J	`jnl`	Learning ODEs via Diffeomorphisms for Fast and Robust Integration. CoRR Weiming Zhi, Tin Lai, Lionel Ott, Edwin V. Bonilla, Fabio Ramos
2021	Misc	`conf`	Parallelised Diffeomorphic Sampling-based Motion Planning. CoRL Tin Lai, Weiming Zhi, Tucker Hermans, Fabio Ramos
2021	J	`jnl`	Parallelised Diffeomorphic Sampling-based Motion Planning. CoRR Tin Lai, Weiming Zhi, Tucker Hermans, Fabio Ramos
2021	A	`conf`	Probabilistic Trajectory Prediction with Structural Constraints. IROS Weiming Zhi, Lionel Ott, Fabio Ramos
2021	J	`jnl`	Probabilistic Trajectory Prediction with Structural Constraints. CoRR Weiming Zhi, Lionel Ott, Fabio Ramos
2021	A	`conf`	Trajectory Generation in New Environments from Past Experiences. IROS Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos
2020	J	`jnl`	Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements. CoRR Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos
2019	A*	`conf`	Continuous Occupancy Map Fusion with Fast Bayesian Hilbert Maps. ICRA Weiming Zhi, Lionel Ott, Ransalu Senanayake, Fabio Ramos
2019	Misc	`conf`	Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction. CoRL Weiming Zhi, Lionel Ott, Fabio Ramos
2019	J	`jnl`	Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction. CoRR Weiming Zhi, Lionel Ott, Fabio Ramos
2019	J	`jnl`	OCTNet: Trajectory Generation in New Environments from Past Experiences. CoRR Weiming Zhi, Tin Lai, Lionel Ott, Gilad Francis, Fabio Ramos
2019	J	`jnl`	Occ-Traj120: Occupancy Maps with Associated Trajectories. CoRR Tin Lai, Weiming Zhi, Fabio Ramos
2019	J	`jnl`	Spatiotemporal Learning of Directional Uncertainty in Urban Environments With Kernel Recurrent Mixture Density Networks. IEEE Robotics Autom. Lett. Weiming Zhi, Ransalu Senanayake, Lionel Ott, Fabio Ramos
2017	—	`conf`	A Novel Ant Colony Detection Using Multi-Region Histogram for Object Tracking. ICONIP (3) Seid Miad Zandavi, Feng Sha, Vera Yuk Ying Chung, Zhicheng Lu, Weiming Zhi
2017	—	`conf`	Layer Removal for Transfer Learning with Deep Convolutional Neural Networks. ICONIP (2) Weiming Zhi, Zhenghao Chen, Henry Wing Fung Yeung, Zhicheng Lu, Seid Miad Zandavi, Yuk Ying Chung
2017	Misc	`conf`	Using Convolutional Neural Networks and Transfer Learning for Bone Age Classification. DICTA Jianlong Zhou, Zelin Li, Weiming Zhi, Bin Liang, Daniel Aaron Moses, Laughlin Dawes
2017	—	`conf`	Using Hidden Markov Model to Predict Human Actions with Swarm Intelligence. ICONIP (4) Zhicheng Lu, Yuk Ying Chung, Henry Wing Fung Yeung, Seid Miad Zandavi, Weiming Zhi, Wei-Chang Yeh
2017	—	`conf`	Using Transfer Learning with Convolutional Neural Networks to Diagnose Breast Cancer from Histopathological Images. ICONIP (4) Weiming Zhi, Henry Wing Fung Yeung, Zhenghao Chen, Seid Miad Zandavi, Zhicheng Lu, Yuk Ying Chung