Tianyi Zhang

According to our database, Tianyi Zhang authored at least 33 papers between 2021 and 2025.

Collaborative distances:

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

2025

Bi-Manual Joint Camera Calibration and Scene Representation.

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

CoRR, May, 2025

From Single Images to Motion Policies via Video-Generation Environment Representations.

Weiming Zhi, Ziyong Ma, Tianyi Zhang, Matthew Johnson-Roberson

CoRR, May, 2025

RS-ModCubes: Self-Reconfigurable, Scalable, Modular Cubic Robots for Underwater Operations.

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

IEEE Robotics Autom. Lett., April, 2025

GraphSeg: Segmented 3D Representations via Graph Edge Addition and Contraction.

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

CoRR, April, 2025

Infinite Leagues Under the Sea: Photorealistic 3D Underwater Terrain Generation by Latent Fractal Diffusion Models.

Tianyi Zhang, Weiming Zhi, Joshua G. Mangelson, Matthew Johnson-Roberson

CoRR, March, 2025

Towards Ambiguity-Free Spatial Foundation Model: Rethinking and Decoupling Depth Ambiguity.

Xiaohao Xu, Feng Xue, Xiang Li, Haowei Li, Shusheng Yang, Tianyi Zhang, Matthew Johnson-Roberson, Xiaonan Huang

CoRR, March, 2025

Teaching Periodic Stable Robot Motion Generation via Sketch.

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

IEEE Robotics Autom. Lett., February, 2025

DOSE3 : Diffusion-based Out-of-distribution detection on SE(3) trajectories.

Hongzhe Cheng, Tianyou Zheng, Tianyi Zhang, Matthew Johnson-Roberson, Weiming Zhi

CoRR, February, 2025

RecGS: Removing Water Caustic With Recurrent Gaussian Splatting.

Tianyi Zhang, Weiming Zhi, Braden Meyers, Nelson Durrant, Kaining Huang, Joshua G. Mangelson, Corina Barbalata, Matthew Johnson-Roberson

IEEE Robotics Autom. Lett., January, 2025

Scalable Benchmarking and Robust Learning for Noise-Free Ego-Motion and 3D Reconstruction from Noisy Video.

Xiaohao Xu, Tianyi Zhang, Shibo Zhao, Xiang Li, Sibo Wang, Yongqi Chen, Ye Li, Bhiksha Raj, Matthew Johnson-Roberson, Sebastian Scherer, Xiaonan Huang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Simultaneous Geometry and Pose Estimation of Held Objects Via 3D Foundation Models.

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

IEEE Robotics Autom. Lett., December, 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

Embodied-RAG: General non-parametric Embodied Memory for Retrieval and Generation.

Quanting Xie, So Yeon Min, Tianyi Zhang, Aarav Bajaj, Ruslan Salakhutdinov, Matthew Johnson-Roberson, Yonatan Bisk

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

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 G. Mangelson, Corina Barbalata, Matthew Johnson-Roberson

CoRR, 2024

From Perfect to Noisy World Simulation: Customizable Embodied Multi-modal Perturbations for SLAM Robustness Benchmarking.

Xiaohao Xu, Tianyi Zhang, Sibo Wang, Xiang Li, Yongqi Chen, Ye Li, Bhiksha Raj, Matthew Johnson-Roberson, Xiaonan Huang

CoRR, 2024

Self-supervised Pre-training for Transferable Multi-modal Perception.

Xiaohao Xu, Tianyi Zhang, Jinrong Yang, Matthew Johnson-Roberson, Xiaonan Huang

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

Customizable Perturbation Synthesis for Robust SLAM Benchmarking.

Xiaohao Xu, Tianyi Zhang, Sibo Wang, Xiang Li, Yongqi Chen, Ye Li, Bhiksha Raj, Matthew Johnson-Roberson, Xiaonan Huang

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

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Teaching Robots Where To Go And How To Act With Human Sketches via Spatial Diagrammatic Instructions.

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

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

2023

Beyond NeRF Underwater: Learning Neural Reflectance Fields for True Color Correction of Marine Imagery.

Tianyi Zhang, Matthew Johnson-Roberson

IEEE Robotics Autom. Lett., October, 2023

Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis.

Yafei Hu, Quanting Xie, Vidhi Jain, Jonathan Francis, Jay Patrikar, Nikhil Varma Keetha, Seungchan Kim, Yaqi Xie, Tianyi Zhang, Shibo Zhao, Yu Quan Chong, Chen Wang, Katia P. Sycara, Matthew Johnson-Roberson, Dhruv Batra, Xiaolong Wang, Sebastian A. Scherer, Zsolt Kira, Fei Xia, Yonatan Bisk

CoRR, 2023

Learning Orbitally Stable Systems for Diagrammatically Teaching.

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

CoRR, 2023

Reasoning about the Unseen for Efficient Outdoor Object Navigation.

Quanting Xie, Tianyi Zhang, Kedi Xu, Matthew Johnson-Roberson, Yonatan Bisk

CoRR, 2023

Learning from Demonstration via Probabilistic Diagrammatic Teaching.

Weiming Zhi, Tianyi Zhang, Matthew Johnson-Roberson

CoRR, 2023

2022

Learning Cross-Scale Visual Representations for Real-Time Image Geo-Localization.

Tianyi Zhang, Matthew Johnson-Roberson

IEEE Robotics Autom. Lett., 2022

2021

Designing a Self-Efficacy Game for Health Literacy in Marginalized Communities.

Morgan C. Evans, Adela Kapuscinska, Maya Greenholt, Junchao Lin, Xuanyuan Liu, Tianyi Zhang, Jessica Hammer, Geoff Kaufman

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021