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)

Monocular Depth Prediction through Continuous 3D Loss. - Minghan Zhu; Maani Ghaffari; Yuanxin Zhong; Pingping Lu; Zhong Cao; Ryan M. Eustice; Huei Peng (IROS, 2020)

CLAP: Cloud-and-Learning-compatible Autonomous driving Platform. - Yuanxin Zhong; Zhong Cao; Minghan Zhu; Xinpeng Wang 002; Diange Yang; Huei Peng (IV, 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)

Uncertainty-Aware Voxel based 3D Object Detection and Tracking with von-Mises Loss. - Yuanxin Zhong; Minghan Zhu; Huei Peng (CoRR, 2020)

VIN: Voxel-based Implicit Network for Joint3D Object Detection and Segmentation for Lidars. - Yuanxin Zhong; Minghan Zhu; Huei Peng (BMVC, 2021)

Correspondence-Free Point Cloud Registration with SO(3)-Equivariant Implicit Shape Representations. - Minghan Zhu; Maani Ghaffari; Huei Peng (CoRL, 2021)

Monocular 3D Vehicle Detection Using Uncalibrated Traffic Cameras through Homography. - Minghan Zhu; Songan Zhang; Yuanxin Zhong; Pingping Lu; Huei Peng; John Lenneman (IROS, 2021)

Lite-FPN for Keypoint-based Monocular 3D Object Detection. - Lei Yang 060; Xinyu Zhang 001; Li Wang 092; Minghan Zhu; Jun Li 082 (CoRR, 2021)

VIN: Voxel-based Implicit Network for Joint 3D Object Detection and Segmentation for Lidars. - Yuanxin Zhong; Minghan Zhu; Huei Peng (CoRR, 2021)

SE(3)-Equivariant Point Cloud-Based Place Recognition. - Chien Erh Lin; Jingwei Song; Ray Zhang 001; Minghan Zhu; Maani Ghaffari (CoRL, 2022)

E2PN: Efficient SE(3)-Equivariant Point Network. - Minghan Zhu; Maani Ghaffari; William A. Clark; Huei Peng (CoRR, 2022)

Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object Detection. - Lei Yang 060; Xinyu Zhang 001; Li Wang 092; Minghan Zhu; Chuang Zhang; Jun Li 082 (CoRR, 2022)

Progress in symmetry preserving robot perception and control through geometry and learning. - Maani Ghaffari; Ray Zhang 001; Minghan Zhu; Chien Erh Lin; Tzu-Yuan Lin; Sangli Teng; Tingjun Li; Tianyi Liu; Jingwei Song (Frontiers Robotics AI, 2022)

E2PN: Efficient SE(3)-Equivariant Point Network. - Minghan Zhu; Maani Ghaffari; William A. Clark; Huei Peng (CVPR, 2023)

4D Panoptic Segmentation as Invariant and Equivariant Field Prediction. - Minghan Zhu; Shizhong Han; Maani Ghaffari; Hong Cai; Fatih Porikli; Shubhankar Borse (ICCV, 2023)

MonoEdge: Monocular 3D Object Detection Using Local Perspectives. - Minghan Zhu; Lingting Ge; Panqu Wang; Huei Peng (WACV, 2023)

Lite-FPN for keypoint-based monocular 3D object detection. - Lei Yang 060; Xinyu Zhang 001; Jun Li 082; Li Wang 092; Minghan Zhu; Lei Zhu (Knowl. Based Syst., 2023)

Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object Detection. - Lei Yang 060; Xinyu Zhang 001; Jun Li 082; Li Wang 092; Minghan Zhu; Chuang Zhang; Huaping Liu 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras. - Tzu-Yuan Lin; Minghan Zhu; Maani Ghaffari (ICML, 2024)

Latent BKI: Open-Dictionary Continuous Mapping in Visual-Language Latent Spaces with Quantifiable Uncertainty. - Joey Wilson; Ruihan Xu 003; Yile Sun; Parker Ewen; Minghan Zhu; Kira Barton; Maani Ghaffari (CoRR, 2024)

Generative LiDAR Editing with Controllable Novel Object Layouts. - Shing-Hei Ho; Bao Thach; Minghan Zhu (CoRR, 2024)

SE3ET: SE(3)-Equivariant Transformer for Low-Overlap Point Cloud Registration. - Chien Erh Lin; Minghan Zhu; Maani Ghaffari (IEEE Robotics Autom. Lett., 2024)

Vysics: Object Reconstruction Under Occlusion by Fusing Vision and Contact-Rich Physics. - Bibit Bianchini; Minghan Zhu; Mengti Sun; Bowen Jiang; Camillo J. Taylor; Michael Posa (CoRR, 2025)

LatentBKI: Open-Dictionary Continuous Mapping in Visual-Language Latent Spaces With Quantifiable Uncertainty. - Joey Wilson; Ruihan Xu 003; Yile Sun; Parker Ewen; Minghan Zhu; Kira Barton; Maani Ghaffari (IEEE Robotics Autom. Lett., 2025)