Unsupervised Seismic Footprint Removal With Physical Prior Augmented Deep Autoencoder

no code implementations • 8 Feb 2023 • Feng Qian, Yuehua Yue, Yu He, Hongtao Yu, Yingjie Zhou, Jinliang Tang, Guangmin Hu

Seismic acquisition footprints appear as stably faint and dim structures and emerge fully spatially coherent, causing inevitable damage to useful signals during the suppression process.

Tele-Knowledge Pre-training for Fault Analysis

1 code implementation • 20 Oct 2022 • Zhuo Chen, Wen Zhang, Yufeng Huang, Mingyang Chen, Yuxia Geng, Hongtao Yu, Zhen Bi, Yichi Zhang, Zhen Yao, Wenting Song, Xinliang Wu, Yi Yang, Mingyi Chen, Zhaoyang Lian, YingYing Li, Lei Cheng, Huajun Chen

In this work, we share our experience on tele-knowledge pre-training for fault analysis, a crucial task in telecommunication applications that requires a wide range of knowledge normally found in both machine log data and product documents.

Language Modelling

NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs

1 code implementation • 25 Feb 2022 • Wen Zhang, Xiangnan Chen, Zhen Yao, Mingyang Chen, Yushan Zhu, Hongtao Yu, Yufeng Huang, Zezhong Xu, Yajing Xu, Ningyu Zhang, Zonggang Yuan, Feiyu Xiong, Huajun Chen

NeuralKG is an open-source Python-based library for diverse representation learning of knowledge graphs.

Knowledge Graph Embedding Knowledge Graphs +2

Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking

no code implementations • 23 Nov 2021 • Pengfei Zhu, Hongtao Yu, Kaihua Zhang, Yu Wang, Shuai Zhao, Lei Wang, Tianzhu Zhang, QinGhua Hu

To address this issue, segmentation-based trackers have been proposed that employ per-pixel matching to improve the tracking performance of deformable objects effectively.

Segmentation Visual Object Tracking +1