◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Yonghong Tian

88 papers hereh-index 6515.9k citations325 works total

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

author position
  • first author1
  • middle author38
  • last author40

Across the 79 of 88 papers where every author was matched, so the position is known.

fields
  • cs.CV64
  • q-bio.NC7
  • cs.NE6
  • cs.LG4
  • cs.MM2
  • eess.IV2
same name
  • Yonghong Tian — 26 papers, h 24
  • Yonghong Tian — 25 papers, h 9
  • Yonghong Tian — 23 papers, h 9
  • Yonghong Tian — 22 papers, h 9
  • Yonghong Tian — 8 papers, h 7
  • Yonghong Tian — 6 papers, h 2

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

activity
20162026
most citedAdversarial Reciprocal Points Learning for Open Set Recognition

345 citations · 2.2k across the 88 of their papers we have counts for

collaborators
Showing 2016Show all

4 papers · 1 filter

cs.CV2016★ 219 cited

Deep Transfer Learning for Person Re-identification

Mengyue Geng, Yaowei Wang, Tao Xiang +1

Person re-identification (Re-ID) poses a unique challenge to deep learning: how to learn a deep model with millions of parameters on a small training set of few or no labels. In th…

cs.CV2016★ 4 cited

Joint Network based Attention for Action Recognition

Yemin Shi, Yonghong Tian, Yaowei Wang +1

By extracting spatial and temporal characteristics in one network, the two-stream ConvNets can achieve the state-of-the-art performance in action recognition. However, such a frame…

cs.CV2016★ 5 cited

Learning long-term dependencies for action recognition with a biologically-inspired deep network

Yemin Shi, Yonghong Tian, Yaowei Wang +1

Despite a lot of research efforts devoted in recent years, how to efficiently learn long-term dependencies from sequences still remains a pretty challenging task. As one of the key…

cs.CV2016★ 209 cited

Sequential Deep Trajectory Descriptor for Action Recognition with Three-stream CNN

Yemin Shi, Yonghong Tian, Yaowei Wang +1

Learning the spatial-temporal representation of motion information is crucial to human action recognition. Nevertheless, most of the existing features or descriptors cannot capture…

◍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.