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Byungkon Kang

6 papers hereh-index 102.2k citations25 works total

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

author position
  • middle author5
  • last author1

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG2
same name
  • Byungkon Kang — 3 papers, h 1
  • Byungkon Kang — 1 paper, h 1

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
20182026
most citedFast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network

8 citations · 14 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2022★ 1 cited

MINSU (Mobile Inventory And Scanning Unit):Computer Vision and AI

Jihoon Ryoo, Byungkon Kang, Dongyeob Lee +2

The MINSU(Mobile Inventory and Scanning Unit) algorithm uses the computational vision analysis method to record the residual quantity/fullness of the cabinet. To do so, it goes thr…

cs.CV2019★ 4 cited

Efficient Deep Neural Network for Photo-realistic Image Super-Resolution

Namhyuk Ahn, Byungkon Kang, Kyung-Ah Sohn

Recent progress in deep learning-based models has improved photo-realistic (or perceptual) single-image super-resolution significantly. However, despite their powerful performance,…

cs.CV2018

Image Distortion Detection using Convolutional Neural Network

Namhyuk Ahn, Byungkon Kang, Kyung-Ah Sohn

Image distortion classification and detection is an important task in many applications. For example when compressing images, if we know the exact location of the distortion, then…

cs.CV2018★ 8 cited

Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network

Namhyuk Ahn, Byungkon Kang, Kyung-Ah Sohn

In recent years, deep learning methods have been successfully applied to single-image super-resolution tasks. Despite their great performances, deep learning methods cannot be easi…

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