Minghan Zhu

According to our database, Minghan Zhu authored at least 20 papers between 2019 and 2023.

Collaborative distances:

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

2023

Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object Detection.

Lei Yang, Xinyu Zhang, Jun Li, Li Wang, Minghan Zhu, Chuang Zhang, Huaping Liu

IEEE Trans. Circuits Syst. Video Technol., November, 2023

Lite-FPN for keypoint-based monocular 3D object detection.

Lei Yang, Xinyu Zhang, Jun Li, Li Wang, Minghan Zhu, Lei Zhu

Knowl. Based Syst., 2023

Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras.

Tzu-Yuan Lin, Minghan Zhu, Maani Ghaffari

CoRR, 2023

MonoEdge: Monocular 3D Object Detection Using Local Perspectives.

Minghan Zhu, Lingting Ge, Panqu Wang, Huei Peng

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

4D Panoptic Segmentation as Invariant and Equivariant Field Prediction.

Minghan Zhu, Shizhong Han, Maani Ghaffari, Hong Cai, Fatih Porikli, Shubhankar Borse

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

E2PN: Efficient SE(3)-Equivariant Point Network.

Minghan Zhu, Maani Ghaffari, William A. Clark, Huei Peng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Progress in symmetry preserving robot perception and control through geometry and learning.

Maani Ghaffari, Ray Zhang, Minghan Zhu, Chien Erh Lin, Tzu-Yuan Lin, Sangli Teng, Tingjun Li, Tianyi Liu, Jingwei Song

Frontiers Robotics AI, 2022

Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object Detection.

Lei Yang, Xinyu Zhang, Li Wang, Minghan Zhu, Chuang Zhang, Jun Li

CoRR, 2022

E²PN: Efficient SE(3)-Equivariant Point Network.

Minghan Zhu, Maani Ghaffari, William A. Clark, Huei Peng

CoRR, 2022

SE(3)-Equivariant Point Cloud-Based Place Recognition.

Chien Erh Lin, Jingwei Song, Ray Zhang, Minghan Zhu, Maani Ghaffari

Proceedings of the Conference on Robot Learning, 2022

2021

VIN: Voxel-based Implicit Network for Joint 3D Object Detection and Segmentation for Lidars.

Yuanxin Zhong, Minghan Zhu, Huei Peng

CoRR, 2021

Lite-FPN for Keypoint-based Monocular 3D Object Detection.

Lei Yang, Xinyu Zhang, Li Wang, Minghan Zhu, Jun Li

CoRR, 2021

Monocular 3D Vehicle Detection Using Uncalibrated Traffic Cameras through Homography.

Minghan Zhu, Songan Zhang, Yuanxin Zhong, Pingping Lu, Huei Peng, John Lenneman

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

Correspondence-Free Point Cloud Registration with SO(3)-Equivariant Implicit Shape Representations.

Minghan Zhu, Maani Ghaffari, Huei Peng

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

VIN: Voxel-based Implicit Network for Joint3D Object Detection and Segmentation for Lidars.

Yuanxin Zhong, Minghan Zhu, Huei Peng

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Uncertainty-Aware Voxel based 3D Object Detection and Tracking with von-Mises Loss.

Yuanxin Zhong, Minghan Zhu, Huei Peng

CoRR, 2020

Design and Experiments of Safeguard Protected Preview Lane Keeping Control for Autonomous Vehicles.

Shaobing Xu, Huei Peng, Pingping Lu, Minghan Zhu, Yifan Tang

IEEE Access, 2020

CLAP: Cloud-and-Learning-compatible Autonomous driving Platform.

Yuanxin Zhong, Zhong Cao, Minghan Zhu, Xinpeng Wang, Diange Yang, Huei Peng

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Monocular Depth Prediction through Continuous 3D Loss.

Minghan Zhu, Maani Ghaffari, Yuanxin Zhong, Pingping Lu, Zhong Cao, Ryan M. Eustice, Huei Peng

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

Mcity Data Collection for Automated Vehicles Study.

Yiqun Dong, Yuanxin Zhong, Wenbo Yu, Minghan Zhu, Pingping Lu, Yeyang Fang, Jiajun Hong, Huei Peng

CoRR, 2019