Ming Liang

About Ming Liang

Ming Liang, With an exceptional h-index of 26 and a recent h-index of 25 (since 2020), a distinguished researcher at Tsinghua University, specializes in the field of Neural Networks, Computer Vision.

His recent articles reflect a diverse array of research interests and contributions to the field:

Continuous convolution and fusion in neural networks

Systems and Methods for Generating Motion Forecast Data for a Plurality of Actors with Respect to an Autonomous Vehicle

Systems and methods for identifying unknown instances

Multi-Task Multi-Sensor Fusion for Three-Dimensional Object Detection

Perception and motion prediction for autonomous devices

Three-dimensional object detection

Systems and methods for vehicle-to-vehicle communications for improved autonomous vehicle operations

Systems and methods for training object detection models using adversarial examples

Ming Liang Information

University

Position

Department of Computer Science and Technology

Citations(all)

7096

Citations(since 2020)

6464

Cited By

2568

hIndex(all)

26

hIndex(since 2020)

25

i10Index(all)

32

i10Index(since 2020)

30

Email

University Profile Page

Google Scholar

Ming Liang Skills & Research Interests

Neural Networks

Computer Vision

Top articles of Ming Liang

Title

Journal

Author(s)

Publication Date

Continuous convolution and fusion in neural networks

2024/1/23

Systems and Methods for Generating Motion Forecast Data for a Plurality of Actors with Respect to an Autonomous Vehicle

2024/1/11

Systems and methods for identifying unknown instances

2023/9/26

Multi-Task Multi-Sensor Fusion for Three-Dimensional Object Detection

2023/2/9

Perception and motion prediction for autonomous devices

2023/1/10

Three-dimensional object detection

2023/9/26

Systems and methods for vehicle-to-vehicle communications for improved autonomous vehicle operations

2023/9/19

Systems and methods for training object detection models using adversarial examples

2021/9/30

Systems and Methods for Actor Motion Forecasting within a Surrounding Environment of an Autonomous Vehicle

2023/11/2

Automatic Annotation of Object Trajectories in Multiple Dimensions

2022/5/19

Systems and Methods for Simulating Dynamic Objects Based on Real World Data

2022/2/3

Perceive, attend, and drive: Learning spatial attention for safe self-driving

Bob Wei

Mengye Ren

Wenyuan Zeng

Ming Liang

Bin Yang

...

2021/5/30

Lanercnn: Distributed representations for graph-centric motion forecasting

IROS 2021

Wenyuan Zeng

Ming Liang

Renjie Liao

Raquel Urtasun

2021/1/17

Auto4d: Learning to label 4d objects from sequential point clouds

arXiv preprint arXiv:2101.06586

Bin Yang

Min Bai

Ming Liang

Wenyuan Zeng

Raquel Urtasun

2021/1/17

PLUMENet: Efficient 3D object detection from stereo images

Yan Wang

Bin Yang

Rui Hu

Ming Liang

Raquel Urtasun

2021

Exploring adversarial robustness of multi-sensor perception systems in self driving

arXiv preprint arXiv:2101.06784

James Tu

Huichen Li

Xinchen Yan

Mengye Ren

Yun Chen

...

2021/1/17

Systems and Methods for Using Attention Masks to Improve Motion Planning

2021/9/9

Systems and Methods for Autonomous Vehicle Systems Simulation

2021/9/9

Systems and Methods for Integrating Radar Data for Improved Object Detection in Autonomous Vehicles

2021/9/9

Recovering and simulating pedestrians in the wild

Ze Yang

Sivabalan Manivasagam

Ming Liang

Bin Yang

Wei-Chiu Ma

...

2021/10/4

See List of Professors in Ming Liang University(Tsinghua University)

Co-Authors

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