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Wook-Shin Han

12 papers hereh-index 324.5k citations128 works total

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

author position
  • middle author4
  • last author8

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.DB7
  • cs.CV4
  • cs.LG1
same name
  • Wook-Shin Han — 8 papers, h 3
  • Wook-Shin Han — 4 papers, h 3
  • Wook-Shin Han — 3 papers, h 3

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
20092023
most citedTowards Plug-and-Play Visual Graph Query Interfaces: Data-driven Canned Pattern Selection for Large Networks

11 citations · 33 across the 11 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CV2022

Generalizable Implicit Neural Representations via Instance Pattern Composers

Chiheon Kim, Doyup Lee, Saehoon Kim +2

Despite recent advances in implicit neural representations (INRs), it remains challenging for a coordinate-based multi-layer perceptron (MLP) of INRs to learn a common representati…

cs.CV2022★ 6 cited

Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer

Doyup Lee, Chiheon Kim, Saehoon Kim +2

Although autoregressive models have achieved promising results on image generation, their unidirectional generation process prevents the resultant images from fully reflecting glob…

cs.CV2022★ 10 cited

Autoregressive Image Generation using Residual Quantization

Doyup Lee, Chiheon Kim, Saehoon Kim +2

For autoregressive (AR) modeling of high-resolution images, vector quantization (VQ) represents an image as a sequence of discrete codes. A short sequence length is important for a…

cs.LG2022

Contrastive Regularization for Semi-Supervised Learning

Doyup Lee, Sungwoong Kim, Ildoo Kim +3

Consistency regularization on label predictions becomes a fundamental technique in semi-supervised learning, but it still requires a large number of training iterations for high pe…

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