Yingtian Liu

According to our database, Yingtian Liu authored at least 8 papers between 2018 and 2025.

Collaborative distances:

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

2025

Acoustic impedance prediction using an attention-based dual-branch double-inversion network.

Wen Feng, Yingtian Liu, Yong Li, Huating Li, Xiaowen Wang

Earth Sci. Informatics, January, 2025

2024

Zero-Shot Self-Consistency Learning for Seismic Irregular Spatial Sampling Reconstruction.

Junheng Peng, Yingtian Liu, Mingwei Wang, Yong Li, Huating Li

CoRR, 2024

2023

A Twice Denoising Autoencoder Framework for Random Seismic Noise Attenuation.

Zhangquan Liao, Yong Li, En Xia, Yingtian Liu, Rui Hu

IEEE Trans. Geosci. Remote. Sens., 2023

2022

The development of Spiking Neural Network: A Review.

Jianxiang He, Yanzi Li, Yingtian Liu, Jiyang Chen, Chaoqun Wang, Rui Song, Yibin Li

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

2020

Deep Learning-Based Localization and Perception Systems: Approaches for Autonomous Cargo Transportation Vehicles in Large-Scale, Semiclosed Environments.

Zhe Liu, Chuanzhe Suo, Yingtian Liu, Yueling Shen, Zhijian Qiao, Huanshu Wei, Shunbo Zhou, Haoang Li, Xinwu Liang, Hesheng Wang, Yun-Hui Liu

IEEE Robotics Autom. Mag., 2020

Scale-aware Insertion of Virtual Objects in Monocular Videos.

Songhai Zhang, Xiangli Li, Yingtian Liu, Hongbo Fu

Proceedings of the 2020 IEEE International Symposium on Mixed and Augmented Reality, 2020

2019

A Multi-Sensor Fusion Based 2D-Driven 3D Object Detection Approach for Large Scene Applications ^∗.

Yingtian Liu, Chuanzhe Suo, Zhe Liu, Yun-Hui Liu

Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019

2018

3D Point Cloud Learning for Large-scale Environment Analysis and Place Recognition.

Zhe Liu, Shunbo Zhou, Chuanzhe Suo, Yingtian Liu, Hesheng Wang, Yun-Hui Liu

CoRR, 2018