◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

J. Tan

5 papers hereh-index 5109 citations9 works total

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

author position
  • first author4
  • middle author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.CL1
same name
  • J. Tan — 18 papers
  • J. Tan — 15 papers, h 15
  • J. Tan — 4 papers, h 3
  • J. Tan — 3 papers, h 11
  • J. Tan — 3 papers, h 2
  • J. Tan — 3 papers, h 19

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
20192025
most citedCOMIC: Towards A Compact Image Captioning Model with Attention

47 citations · 70 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2022

ACORT: A Compact Object Relation Transformer for Parameter Efficient Image Captioning

Jia Huei Tan, Ying Hua Tan, Chee Seng Chan +1

Recent research that applies Transformer-based architectures to image captioning has resulted in state-of-the-art image captioning performance, capitalising on the success of Trans…

cs.CV2021★ 23 cited

End-to-End Supermask Pruning: Learning to Prune Image Captioning Models

Jia Huei Tan, Chee Seng Chan, Joon Huang Chuah

With the advancement of deep models, research work on image captioning has led to a remarkable gain in raw performance over the last decade, along with increasing model complexity…

cs.CV2019

Image Captioning with Sparse Recurrent Neural Network

Jia Huei Tan, Chee Seng Chan, Joon Huang Chuah

Recurrent Neural Network (RNN) has been widely used to tackle a wide variety of language generation problems and are capable of attaining state-of-the-art (SOTA) performance. Howev…

cs.CV2019★ 47 cited

COMIC: Towards A Compact Image Captioning Model with Attention

Jia Huei Tan, Chee Seng Chan, Joon Huang Chuah

Recent works in image captioning have shown very promising raw performance. However, we realize that most of these encoder-decoder style networks with attention do not scale natura…

◍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.