◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Ti-Ming Li

3 papers hereh-index 10528 citations22 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • physics.geo-ph2
  • cs.CV1

identity via Semantic Scholar / OpenAlex

activity
20212023
most citedMDA GAN: Adversarial-Learning-based 3-D Seismic Data Interpolation and Reconstruction for Complex Missing

41 citations · 71 across the 3 of their papers we have counts for

collaborators

3 papers

physics.geo-ph2023

ContrasInver: Ultra-Sparse Label Semi-supervised Regression for Multi-dimensional Seismic Inversion

Yimin Dou, Kewen Li, Wenjun Lv +3

The automated interpretation and inversion of seismic data have advanced significantly with the development of Deep Learning (DL) methods. However, these methods often require nume…

physics.geo-ph2022★ 41 cited

MDA GAN: Adversarial-Learning-based 3-D Seismic Data Interpolation and Reconstruction for Complex Missing

Yimin Dou, Kewen Li, Hongjie Duan +3

The interpolation and reconstruction of missing traces is a crucial step in seismic data processing, moreover it is also a highly ill-posed problem, especially for complex cases su…

cs.CV2021★ 30 cited

MD Loss: Efficient Training of 3D Seismic Fault Segmentation Network under Sparse Labels by Weakening Anomaly Annotation

Yimin Dou, Kewen Li, Jianbing Zhu +3

Data-driven fault detection has been regarded as a 3D image segmentation task. The models trained from synthetic data are difficult to generalize in some surveys. Recently, trainin…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.