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researcher

Seunghyun Yoon

49 papers hereh-index 161k citations64 works total

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

author position
  • middle author44
  • last author3

Across the 47 of 49 papers where every author was matched, so the position is known.

fields
  • cs.CL28
  • cs.CV12
  • cs.AI4
  • cs.LG2
  • cs.HC1
  • cs.MM1
same name
  • Seunghyun Yoon — 21 papers, h 12
  • Seunghyun Yoon — 8 papers, h 10
  • Seunghyun Yoon — 4 papers, h 3
  • Seunghyun Yoon — 4 papers, h 3
  • Seunghyun Yoon — 2 papers
  • Seunghyun Yoon — 2 papers, h 4

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
20202026
most citedMultimodal Speech Emotion Recognition using Cross Attention with Aligned Audio and Text

26 citations · 57 across the 44 of their papers we have counts for

collaborators
Showing 2021 · cs.CLShow all

3 papers · 2 filters

cs.CL2021

Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning

Jianguo Zhang, Trung Bui, Seunghyun Yoon +6

In this work, we focus on a more challenging few-shot intent detection scenario where many intents are fine-grained and semantically similar. We present a simple yet effective few-…

cs.CL2021

QACE: Asking Questions to Evaluate an Image Caption

Hwanhee Lee, Thomas Scialom, Seunghyun Yoon +2

In this paper, we propose QACE, a new metric based on Question Answering for Caption Evaluation. QACE generates questions on the evaluated caption and checks its content by asking…

cs.CL2021★ 1 cited

UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning

Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt +2

Despite the success of various text generation metrics such as BERTScore, it is still difficult to evaluate the image captions without enough reference captions due to the diversit…

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