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Han Suk Shim

3 papers hereh-index 381 citations4 works total

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • cs.CV1
  • eess.AS1

identity via Semantic Scholar / OpenAlex

activity
20162022
most citedRobust Uncalibrated Stereo Rectification with Constrained Geometric Distortions (USR-CGD)

12 citations · 12 across the 3 of their papers we have counts for

collaborators

3 papers

eess.AS2022

QbyE-MLPMixer: Query-by-Example Open-Vocabulary Keyword Spotting using MLPMixer

Jinmiao Huang, Waseem Gharbieh, Qianhui Wan +2

Current keyword spotting systems are typically trained with a large amount of pre-defined keywords. Recognizing keywords in an open-vocabulary setting is essential for personalizin…

cs.CL2021

Query-by-Example Keyword Spotting system using Multi-head Attention and Softtriple Loss

Jinmiao Huang, Waseem Gharbieh, Han Suk Shim +1

This paper proposes a neural network architecture for tackling the query-by-example user-defined keyword spotting task. A multi-head attention module is added on top of a multi-lay…

cs.CV2016★ 12 cited

Robust Uncalibrated Stereo Rectification with Constrained Geometric Distortions (USR-CGD)

Hyunsuk Ko, Han Suk Shim, Ouk Choi +1

A novel algorithm for uncalibrated stereo image-pair rectification under the constraint of geometric distortion, called USR-CGD, is presented in this work. Although it is straightf…

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