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Minghan Zhu
Minghan Zhu
Postdoc at the University of Michigan
Verified email at umich.edu - Homepage
Title
Cited by
Cited by
Year
Correspondence-free point cloud registration with so (3)-equivariant implicit shape representations
M Zhu, M Ghaffari, H Peng
Conference on Robot Learning, 1412-1422, 2022
342022
Monocular 3D vehicle detection using uncalibrated traffic cameras through homography
M Zhu, S Zhang, Y Zhong, P Lu, H Peng, J Lenneman
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
29*2021
Design and experiments of safeguard protected preview lane keeping control for autonomous vehicles
S Xu, H Peng, P Lu, M Zhu, Y Tang
IEEE Access 8, 29944-29953, 2020
262020
Mix-teaching: A simple, unified and effective semi-supervised learning framework for monocular 3d object detection
L Yang, X Zhang, J Li, L Wang, M Zhu, C Zhang, H Liu
IEEE Transactions on Circuits and Systems for Video Technology, 2023
222023
A geometry-driven car-following distance estimation algorithm robust to road slopes
Z Cao, D Yang, K Jiang, S Xu, S Wang, M Zhu, Z Xiao
Transportation research part C: emerging technologies 102, 274-288, 2019
192019
Mcity data collection for automated vehicles study
Y Dong, Y Zhong, W Yu, M Zhu, P Lu, Y Fang, J Hong, H Peng
arXiv preprint arXiv:1912.06258, 2019
182019
Lite-fpn for keypoint-based monocular 3d object detection
L Yang, X Zhang, J Li, L Wang, M Zhu, L Zhu
Knowledge-Based Systems 271, 110517, 2023
132023
E2pn: Efficient se (3)-equivariant point network
M Zhu, M Ghaffari, WA Clark, H Peng
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
102023
Vin: Voxel-based implicit network for joint 3d object detection and segmentation for lidars
Y Zhong, M Zhu, H Peng
arXiv preprint arXiv:2107.02980, 2021
102021
Uncertainty-aware voxel based 3d object detection and tracking with von-mises loss
Y Zhong, M Zhu, H Peng
arXiv preprint arXiv:2011.02553, 2020
102020
4d panoptic segmentation as invariant and equivariant field prediction
M Zhu, S Han, H Cai, S Borse, M Ghaffari, F Porikli
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
92023
Monoedge: Monocular 3d object detection using local perspectives
M Zhu, L Ge, P Wang, H Peng
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 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
CLAP: Cloud-and-learning-compatible autonomous driving platform
Y Zhong, Z Cao, M Zhu, X Wang, D Yang, H Peng
2020 IEEE Intelligent Vehicles Symposium (IV), 1450-1456, 2020
72020
Monocular depth prediction through continuous 3D loss
M Zhu, M Ghaffari, Y Zhong, P Lu, Z Cao, RM Eustice, H Peng
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
42020
Lie Neurons: A General Adjoint-Equivariant Neural Network for Semisimple Lie Algebras
TY Lin, M Zhu, M Ghaffari
2023
Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras
TY Lin, M Zhu, M Ghaffari
arXiv preprint arXiv:2310.04521, 2023
2023
Equivariant and Geometry-Aware 3D Perception for Robots and Automated Vehicles
M Zhu
2023
Systems and methods for point cloud registration
M Zhu, M Ghaffari, H Peng
US Patent App. 17/852,636, 2022
2022
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