Minghan Zhu | DeepAI

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Featured Co-authors

Jun Li
229 publications
Li Wang
151 publications
Lei Yang
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Fatih Porikli
91 publications
Maani Ghaffari
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Huei Peng
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Hong Cai
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Ryan M. Eustice
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Chuang Zhang
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Shubhankar Borse
13 publications

∙ 03/28/2023

4D Panoptic Segmentation as Invariant and Equivariant Field Prediction

In this paper, we develop rotation-equivariant neural networks for 4D pa...

0 Minghan Zhu, et al. ∙

∙ 01/04/2023

MonoEdge: Monocular 3D Object Detection Using Local Perspectives

We propose a novel approach for monocular 3D object detection by leverag...

0 Minghan Zhu, et al. ∙

∙ 07/10/2022

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

Monocular 3D object detection is an essential perception task for autono...

11 Lei Yang, et al. ∙

∙ 06/11/2022

E^2PN: Efficient SE(3)-Equivariant Point Network

This paper proposes a new point-cloud convolution structure that learns ...

0 Minghan Zhu, et al. ∙

∙ 07/21/2021

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

This paper proposes a correspondence-free method for point cloud rotatio...

0 Minghan Zhu, et al. ∙

∙ 07/07/2021

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

A unified neural network structure is presented for joint 3D object dete...

7 Yuanxin Zhong, et al. ∙

∙ 05/01/2021

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

3D object detection with a single image is an essential and challenging ...

4 Lei Yang, et al. ∙

∙ 03/29/2021

Monocular 3D Vehicle Detection Using Uncalibrated Traffic Cameras through Homography

This paper proposes a method to extract the position and pose of vehicle...

0 Minghan Zhu, et al. ∙

∙ 11/04/2020

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

Object detection and tracking is a key task in autonomy. Specifically, 3...

0 Yuanxin Zhong, et al. ∙

∙ 03/21/2020

Monocular Depth Prediction Through Continuous 3D Loss

This paper reports a new continuous 3D loss function for learning depth ...

23 Minghan Zhu, et al. ∙

∙ 12/12/2019

Mcity Data Collection for Automated Vehicles Study

The main goal of this paper is to introduce the data collection effort a...

4 Yiqun Dong, et al. ∙

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