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Woohyun Kang

Computer Research Institute of Montreal

15 papers hereh-index 12555 citations57 works total

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

author position
  • first author4
  • middle author11

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • eess.AS6
  • cs.CV4
  • cs.CL3
  • cs.SD1
  • eess.SP1
affiliations
  • Computer Research Institute of Montreal
same name
  • Woohyun Kang — 1 paper, h 0
  • Woohyun Kang — 1 paper, 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
20182023
most citedSoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds

51 citations · 100 across the 15 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2023★ 3 cited

NICE: CVPR 2023 Challenge on Zero-shot Image Captioning

Taehoon Kim, Pyunghwan Ahn, Sangyun Kim +39

In this report, we introduce NICE (New frontiers for zero-shot Image Captioning Evaluation) project and share the results and outcomes of 2023 challenge. This project is designed t…

cs.CV2023★ 5 cited

Open-Vocabulary Object Detection using Pseudo Caption Labels

Han-Cheol Cho, Won Young Jhoo, Wooyoung Kang +1

Recent open-vocabulary detection methods aim to detect novel objects by distilling knowledge from vision-language models (VLMs) trained on a vast amount of image-text pairs. To imp…

cs.CV2022★ 3 cited

Noise-aware Learning from Web-crawled Image-Text Data for Image Captioning

Wooyoung Kang, Jonghwan Mun, Sungjun Lee +1

Image captioning is one of the straightforward tasks that can take advantage of large-scale web-crawled data which provides rich knowledge about the visual world for a captioning m…

cs.CV2020★ 51 cited

SoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds

Hyeongju Kim, Hyeonseung Lee, Woo Hyun Kang +2

Flow-based generative models are composed of invertible transformations between two random variables of the same dimension. Therefore, flow-based models cannot be adequately traine…

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