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Ray Zhang
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Year
Bayesian spatial kernel smoothing for scalable dense semantic mapping
L Gan, R Zhang, JW Grizzle, RM Eustice, M Ghaffari
IEEE Robotics and Automation Letters 5 (2), 790-797, 2020
652020
Legged robot state estimation using invariant Kalman filtering and learned contact events
TY Lin, R Zhang, J Yu, M Ghaffari
arXiv preprint arXiv:2106.15713, 2021
232021
A new framework for registration of semantic point clouds from stereo and RGB-D cameras
R Zhang, TY Lin, CE Lin, SA Parkison, W Clark, JW Grizzle, RM Eustice, ...
2021 IEEE International Conference on Robotics and Automation (ICRA), 12214 …, 2021
132021
Viewrefer: Grasp the multi-view knowledge for 3d visual grounding
Z Guo, Y Tang, R Zhang, D Wang, Z Wang, B Zhao, X Li
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
92023
Progress in symmetry preserving robot perception and control through geometry and learning
M Ghaffari, R Zhang, M Zhu, CE Lin, TY Lin, S Teng, T Li, T Liu, J Song
Frontiers in Robotics and AI 9, 969380, 2022
92022
Se (3)-equivariant point cloud-based place recognition
CE Lin, J Song, R Zhang, M Zhu, M Ghaffari
Conference on Robot Learning, 1520-1530, 2023
82023
Deep multi-modal contact estimation for invariant observer design on quadruped robots
TY Lin, R Zhang, J Yu, M Ghaffari
arXiv preprint arXiv:2106.15713, 9, 2021
82021
Viewrefer: Grasp the multi-view knowledge for 3d visual grounding with gpt and prototype guidance
Z Guo, Y Tang, R Zhang, D Wang, Z Wang, B Zhao, X Li
arXiv preprint arXiv:2303.16894, 2023
72023
Boosting shape registration algorithms via reproducing kernel Hilbert space regularizers
SA Parkison, M Ghaffari, L Gan, R Zhang, AK Ushani, RM Eustice
IEEE Robotics and Automation Letters 4 (4), 4563-4570, 2019
72019
Lidar-llm: Exploring the potential of large language models for 3d lidar understanding
S Yang, J Liu, R Zhang, M Pan, Z Guo, X Li, Z Chen, P Gao, Y Guo, ...
arXiv preprint arXiv:2312.14074, 2023
62023
PoseNet++: A CNN framework for online pose regression and robot re-localization
R Zhang, Z Luo, S Dhanjal, C Schmotzer, S Hasija
Rapp. tech. University of Michigan, 2018
62018
Point-PEFT: Parameter-efficient fine-tuning for 3D pre-trained models
Y Tang, R Zhang, Z Guo, X Ma, B Zhao, Z Wang, D Wang, X Li
Proceedings of the AAAI Conference on Artificial Intelligence 38 (6), 5171-5179, 2024
32024
Individualizing Glioma Radiotherapy Planning by Optimization of a Data and Physics Informed Discrete Loss
M Balcerak, I Ezhov, P Karnakov, S Litvinov, P Koumoutsakos, J Weidner, ...
arXiv preprint arXiv:2312.05063, 2023
22023
Personalized Predictions of Glioblastoma Infiltration: Mathematical Models, Physics-Informed Neural Networks and Multimodal Scans
RZ Zhang, I Ezhov, M Balcerak, A Zhu, B Wiestler, B Menze, J Lowengrub
arXiv preprint arXiv:2311.16536, 2023
22023
FM-OV3D: Foundation Model-Based Cross-Modal Knowledge Blending for Open-Vocabulary 3D Detection
D Zhang, C Li, R Zhang, S Xie, W Xue, X Xie, S Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 38 (15), 16723 …, 2024
2024
RKHS-BA: A Semantic Correspondence-Free Multi-View Registration Framework with Global Tracking
R Zhang, J Song, X Gao, J Wu, T Liu, J Zhang, R Eustice, M Ghaffari
arXiv preprint arXiv:2403.01254, 2024
2024
BDIS-SLAM: a lightweight CPU-based dense stereo SLAM for surgery
J Song, R Zhang, Q Zhu, J Lin, M Ghaffari
International Journal of Computer Assisted Radiology and Surgery, 1-10, 2024
2024
Cloud-Device Collaborative Learning for Multimodal Large Language Models
G Wang, J Liu, C Li, J Ma, Y Zhang, X Wei, K Zhang, M Chong, R Zhang, ...
arXiv preprint arXiv:2312.16279, 2023
2023
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