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D. Park

4 papers here

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

author position
  • middle author4

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

fields
  • cs.CV2
  • cs.AI1
  • cs.CL1
same name
  • D. Park — 21 papers, h 14
  • D. Park — 7 papers, h 19
  • D. Park — 3 papers
  • D. Park — 2 papers, h 8
  • D. Park — 1 paper, h 2
  • D. Park — 1 paper, 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
20182020
most citedF^2-Softmax: Diversifying Neural Text Generation via Frequency Factorized Softmax

2 citations · 2 across the 1 of their papers we have counts for

collaborators

4 papers

cs.CL2020★ 2 cited

F^2-Softmax: Diversifying Neural Text Generation via Frequency Factorized Softmax

Byung-Ju Choi, Jimin Hong, David Keetae Park +1

Despite recent advances in neural text generation, encoding the rich diversity in human language remains elusive. We argue that the sub-optimal text generation is mainly attributab…

cs.CV2019

What and Where to Translate: Local Mask-based Image-to-Image Translation

Wonwoong Cho, Seunghwan Choi, Junwoo Park +3

Recently, image-to-image translation has obtained significant attention. Among many, those approaches based on an exemplar image that contains the target style information has been…

cs.CV2018

Image-to-Image Translation via Group-wise Deep Whitening-and-Coloring Transformation

Wonwoong Cho, Sungha Choi, David Keetae Park +2

Recently, unsupervised exemplar-based image-to-image translation, conditioned on a given exemplar without the paired data, has accomplished substantial advancements. In order to tr…

cs.AI2018

Interpreting Models by Allowing to Ask

Sungmin Kang, David Keetae Park, Jaehyuk Chang +1

Questions convey information about the questioner, namely what one does not know. In this paper, we propose a novel approach to allow a learning agent to ask what it considers as t…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.