◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Yu Liu

4 papers here

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

author position
  • first author1
  • middle author1
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.AI1
  • eess.SP1
ORCID 0000-0002-5216-3181
same name
  • Yu Liu — 40 papers
  • Yu Liu — 29 papers, h 32
  • Yu Liu — 15 papers, h 21
  • Yu Liu — 9 papers, h 7
  • Yu Liu — 8 papers
  • Yu Liu — 8 papers, h 11

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedTaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

9 citations · 12 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023★ 1 cited

Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction

Zhuofan Zong, Dongzhi Jiang, Guanglu Song +4

In this paper, we propose a new paradigm, named Historical Object Prediction (HoP) for multi-view 3D detection to leverage temporal information more effectively. The HoP approach i…

cs.AI2023★ 9 cited

TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

Yaobo Liang, Chenfei Wu, Ting Song +11

Artificial Intelligence (AI) has made incredible progress recently. On the one hand, advanced foundation models like ChatGPT can offer powerful conversation, in-context learning an…

cs.CV2023★ 2 cited

Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction

Yu Liu, Xin Zhang, Jingtao Ding +2

Monitoring sustainable development goals requires accurate and timely socioeconomic statistics, while ubiquitous and frequently-updated urban imagery in web like satellite/street v…

eess.SP2022

Pedestrian Dead Reckoning System using Quasi-static Magnetic Field Detection

Liqiang Zhang, Kai Guo, Yu Liu

Kalman filter-based Inertial Navigation System (INS) is a reliable and efficient method to estimate the position of a pedestrian indoors. Classical INS-based methodology which is c…

◍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.