Weiming Zhi

According to our database, Weiming Zhi authored at least 34 papers between 2017 and 2024.

Collaborative distances:

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

2024

Unifying Representation and Calibration With 3D Foundation Models.

Weiming Zhi, Haozhan Tang, Tianyi Zhang, Matthew Johnson-Roberson

IEEE Robotics Autom. Lett., October, 2024

SplaTraj: Camera Trajectory Generation with Semantic Gaussian Splatting.

Xinyi Liu, Tianyi Zhang, Matthew Johnson-Roberson, Weiming Zhi

CoRR, 2024

PhotoReg: Photometrically Registering 3D Gaussian Splatting Models.

Ziwen Yuan, Tianyi Zhang, Matthew Johnson-Roberson, Weiming Zhi

CoRR, 2024

ModCube: Modular, Self-Assembling Cubic Underwater Robot.

Jiaxi Zheng, Guangmin Dai, Botao He, Zhaoyang Mu, Zhaochen Meng, Tianyi Zhang, Weiming Zhi, Dixia Fan

CoRR, 2024

Learning to Represent Surroundings, Anticipate Motion and Take Informed Actions in Unstructured Environments.

Weiming Zhi

CoRR, 2024

3D Foundation Models Enable Simultaneous Geometry and Pose Estimation of Grasped Objects.

Weiming Zhi, Haozhan Tang, Tianyi Zhang, Matthew Johnson-Roberson

CoRR, 2024

RecGS: Removing Water Caustic with Recurrent Gaussian Splatting.

Tianyi Zhang, Weiming Zhi, Kaining Huang, Joshua Mangelson, Corina Barbalata, Matthew Johnson-Roberson

CoRR, 2024

Unifying Scene Representation and Hand-Eye Calibration with 3D Foundation Models.

Weiming Zhi, Haozhan Tang, Tianyi Zhang, Matthew Johnson-Roberson

CoRR, 2024

Diagrammatic Instructions to Specify Spatial Objectives and Constraints with Applications to Mobile Base Placement.

Qilin Sun, Weiming Zhi, Tianyi Zhang, Matthew Johnson-Roberson

CoRR, 2024

DarkGS: Learning Neural Illumination and 3D Gaussians Relighting for Robotic Exploration in the Dark.

Tianyi Zhang, Kaining Huang, Weiming Zhi, Matthew Johnson-Roberson

CoRR, 2024

V-PRISM: Probabilistic Mapping of Unknown Tabletop Scenes.

Herbert Wright, Weiming Zhi, Matthew Johnson-Roberson, Tucker Hermans

CoRR, 2024

Instructing Robots by Sketching: Learning from Demonstration via Probabilistic Diagrammatic Teaching.

Weiming Zhi, Tianyi Zhang, Matthew Johnson-Roberson

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Pedestrian Trajectory Prediction Using Dynamics-based Deep Learning.

Honghui Wang, Weiming Zhi, Gustavo Batista, Rohitash Chandra

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Learning Orbitally Stable Systems for Diagrammatically Teaching.

Weiming Zhi, Kangni Liu, Tianyi Zhang, Matthew Johnson-Roberson

CoRR, 2023

Learning from Demonstration via Probabilistic Diagrammatic Teaching.

Weiming Zhi, Tianyi Zhang, Matthew Johnson-Roberson

CoRR, 2023

Global and Reactive Motion Generation with Geometric Fabric Command Sequences.

Weiming Zhi, Iretiayo Akinola, Karl Van Wyk, Nathan D. Ratliff, Fabio Ramos

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

L4KDE: Learning for KinoDynamic Tree Expansion.

Tin Lai, Weiming Zhi, Tucker Hermans, Fabio Ramos

CoRR, 2022

Diffeomorphic Transforms for Generalised Imitation Learning.

Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos

Proceedings of the Learning for Dynamics and Control Conference, 2022

Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks.

Weiming Zhi, Tin Lai, Lionel Ott, Edwin V. Bonilla, Fabio Ramos

Proceedings of the International Conference on Machine Learning, 2022

2021

Learning ODEs via Diffeomorphisms for Fast and Robust Integration.

Weiming Zhi, Tin Lai, Lionel Ott, Edwin V. Bonilla, Fabio Ramos

CoRR, 2021

Probabilistic Trajectory Prediction with Structural Constraints.

Weiming Zhi, Lionel Ott, Fabio Ramos

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Trajectory Generation in New Environments from Past Experiences.

Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements.

Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Parallelised Diffeomorphic Sampling-based Motion Planning.

Tin Lai, Weiming Zhi, Tucker Hermans, Fabio Ramos

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2019

Spatiotemporal Learning of Directional Uncertainty in Urban Environments With Kernel Recurrent Mixture Density Networks.

Weiming Zhi, Ransalu Senanayake, Lionel Ott, Fabio Ramos

IEEE Robotics Autom. Lett., 2019

OCTNet: Trajectory Generation in New Environments from Past Experiences.

Weiming Zhi, Tin Lai, Lionel Ott, Gilad Francis, Fabio Ramos

CoRR, 2019

Occ-Traj120: Occupancy Maps with Associated Trajectories.

Tin Lai, Weiming Zhi, Fabio Ramos

CoRR, 2019

Continuous Occupancy Map Fusion with Fast Bayesian Hilbert Maps.

Weiming Zhi, Lionel Ott, Ransalu Senanayake, Fabio Ramos

Proceedings of the International Conference on Robotics and Automation, 2019

Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction.

Weiming Zhi, Lionel Ott, Fabio Ramos

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2017

Using Transfer Learning with Convolutional Neural Networks to Diagnose Breast Cancer from Histopathological Images.

Weiming Zhi, Henry Wing Fung Yeung, Zhenghao Chen, Seid Miad Zandavi, Zhicheng Lu, Yuk Ying Chung

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Layer Removal for Transfer Learning with Deep Convolutional Neural Networks.

Weiming Zhi, Zhenghao Chen, Henry Wing Fung Yeung, Zhicheng Lu, Seid Miad Zandavi, Yuk Ying Chung

Proceedings of the Neural Information Processing - 24th International Conference, 2017

A Novel Ant Colony Detection Using Multi-Region Histogram for Object Tracking.

Seid Miad Zandavi, Feng Sha, Vera Yuk Ying Chung, Zhicheng Lu, Weiming Zhi

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Using Hidden Markov Model to Predict Human Actions with Swarm Intelligence.

Zhicheng Lu, Yuk Ying Chung, Henry Wing Fung Yeung, Seid Miad Zandavi, Weiming Zhi, Wei-Chang Yeh

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Using Convolutional Neural Networks and Transfer Learning for Bone Age Classification.

Jianlong Zhou, Zelin Li, Weiming Zhi, Bin Liang, Daniel Aaron Moses, Laughlin Dawes

Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017