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2020 – today
- 2024
[j5]Chien Erh Lin
, Minghan Zhu, Maani Ghaffari:
SE3ET: SE(3)-Equivariant Transformer for Low-Overlap Point Cloud Registration. IEEE Robotics Autom. Lett. 9(11): 9526-9533 (2024)- [c10]Tzu-Yuan Lin, Minghan Zhu, Maani Ghaffari:
Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras. ICML 2024 - [i15]Chien Erh Lin, Minghan Zhu, Maani Ghaffari:
SE3ET: SE(3)-Equivariant Transformer for Low-Overlap Point Cloud Registration. CoRR abs/2407.16823 (2024) - [i14]Joey Wilson, Ruihan Xu, Yile Sun, Parker Ewen, Minghan Zhu, Kira Barton, Maani Ghaffari:
Latent BKI: Open-Dictionary Continuous Mapping in Visual-Language Latent Spaces with Quantifiable Uncertainty. CoRR abs/2410.11783 (2024) - [i13]Shing-Hei Ho, Bao Thach, Minghan Zhu:
Generative LiDAR Editing with Controllable Novel Object Layouts. CoRR abs/2412.00592 (2024) - 2023
- [j4]Lei Yang, Xinyu Zhang, Jun Li, Li Wang, Minghan Zhu, Lei Zhu:
Lite-FPN for keypoint-based monocular 3D object detection. Knowl. Based Syst. 271: 110517 (2023) - [j3]Lei Yang, Xinyu Zhang, Jun Li, Li Wang, Minghan Zhu, Chuang Zhang, Huaping Liu:
Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object Detection. IEEE Trans. Circuits Syst. Video Technol. 33(11): 6832-6844 (2023) - [c9]Minghan Zhu, Maani Ghaffari, William A. Clark, Huei Peng:
E2PN: Efficient SE(3)-Equivariant Point Network. CVPR 2023: 1223-1232 - [c8]Minghan Zhu, Shizhong Han, Maani Ghaffari, Hong Cai, Fatih Porikli, Shubhankar Borse:
4D Panoptic Segmentation as Invariant and Equivariant Field Prediction. ICCV 2023: 22431-22441 - [c7]Minghan Zhu, Lingting Ge, Panqu Wang, Huei Peng:
MonoEdge: Monocular 3D Object Detection Using Local Perspectives. WACV 2023: 643-652 - [i12]Minghan Zhu, Lingting Ge, Panqu Wang, Huei Peng:
MonoEdge: Monocular 3D Object Detection Using Local Perspectives. CoRR abs/2301.01802 (2023) - [i11]Minghan Zhu, Shizhong Han, Hong Cai, Shubhankar Borse, Maani Ghaffari Jadidi, Fatih Porikli:
4D Panoptic Segmentation as Invariant and Equivariant Field Prediction. CoRR abs/2303.15651 (2023) - [i10]Tzu-Yuan Lin, Minghan Zhu, Maani Ghaffari:
Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras. CoRR abs/2310.04521 (2023) - 2022
- [j2]Maani Ghaffari, Ray Zhang, Minghan Zhu, Chien Erh Lin, Tzu-Yuan Lin, Sangli Teng, Tingjun Li, Tianyi Liu, Jingwei Song:
Progress in symmetry preserving robot perception and control through geometry and learning. Frontiers Robotics AI 9 (2022) - [c6]Chien Erh Lin, Jingwei Song, Ray Zhang, Minghan Zhu, Maani Ghaffari:
SE(3)-Equivariant Point Cloud-Based Place Recognition. CoRL 2022: 1520-1530 - [i9]Minghan Zhu, Maani Ghaffari, William A. Clark, Huei Peng:
E2PN: Efficient SE(3)-Equivariant Point Network. CoRR abs/2206.05398 (2022) - [i8]Lei Yang, Xinyu Zhang, Li Wang, Minghan Zhu, Chuang Zhang, Jun Li:
Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object Detection. CoRR abs/2207.04448 (2022) - 2021
- [c5]Yuanxin Zhong, Minghan Zhu, Huei Peng:
VIN: Voxel-based Implicit Network for Joint3D Object Detection and Segmentation for Lidars. BMVC 2021: 284 - [c4]Minghan Zhu, Maani Ghaffari, Huei Peng:
Correspondence-Free Point Cloud Registration with SO(3)-Equivariant Implicit Shape Representations. CoRL 2021: 1412-1422 - [c3]Minghan Zhu, Songan Zhang, Yuanxin Zhong, Pingping Lu, Huei Peng, John Lenneman:
Monocular 3D Vehicle Detection Using Uncalibrated Traffic Cameras through Homography. IROS 2021: 3814-3821 - [i7]Minghan Zhu, Songan Zhang, Yuanxin Zhong, Pingping Lu, Huei Peng, John Lenneman:
Monocular 3D Vehicle Detection Using Uncalibrated Traffic Cameras through Homography. CoRR abs/2103.15293 (2021) - [i6]Lei Yang, Xinyu Zhang, Li Wang, Minghan Zhu, Jun Li:
Lite-FPN for Keypoint-based Monocular 3D Object Detection. CoRR abs/2105.00268 (2021) - [i5]Yuanxin Zhong, Minghan Zhu, Huei Peng:
VIN: Voxel-based Implicit Network for Joint 3D Object Detection and Segmentation for Lidars. CoRR abs/2107.02980 (2021) - [i4]Minghan Zhu, Maani Ghaffari, Huei Peng:
Correspondence-Free Point Cloud Registration with SO(3)-Equivariant Implicit Shape Representations. CoRR abs/2107.10296 (2021) - 2020
- [j1]Shaobing Xu, Huei Peng, Pingping Lu, Minghan Zhu, Yifan Tang:
Design and Experiments of Safeguard Protected Preview Lane Keeping Control for Autonomous Vehicles. IEEE Access 8: 29944-29953 (2020) - [c2]Minghan Zhu, Maani Ghaffari, Yuanxin Zhong, Pingping Lu, Zhong Cao, Ryan M. Eustice, Huei Peng:
Monocular Depth Prediction through Continuous 3D Loss. IROS 2020: 10742-10749 - [c1]Yuanxin Zhong, Zhong Cao, Minghan Zhu, Xinpeng Wang, Diange Yang, Huei Peng:
CLAP: Cloud-and-Learning-compatible Autonomous driving Platform. IV 2020: 1450-1456 - [i3]Minghan Zhu, Maani Ghaffari Jadidi, Yuanxin Zhong, Pingping Lu, Zhong Cao, Ryan M. Eustice, Huei Peng:
Monocular Depth Prediction Through Continuous 3D Loss. CoRR abs/2003.09763 (2020) - [i2]Yuanxin Zhong, Minghan Zhu, Huei Peng:
Uncertainty-Aware Voxel based 3D Object Detection and Tracking with von-Mises Loss. CoRR abs/2011.02553 (2020)
2010 – 2019
- 2019
- [i1]Yiqun Dong, Yuanxin Zhong, Wenbo Yu, Minghan Zhu, Pingping Lu, Yeyang Fang, Jiajun Hong, Huei Peng:
Mcity Data Collection for Automated Vehicles Study. CoRR abs/1912.06258 (2019)
Coauthor Index
aka: Maani Ghaffari
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