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Injung Kim

8 papers hereh-index 6253 citations23 works total

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

author position
  • last author8

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • eess.AS4
same name
  • Injung Kim — 4 papers, h 0
  • Injung Kim — 3 papers, h 4
  • Injung Kim — 1 paper
  • Injung Kim — 1 paper, h 0

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
20192022
most citedCapsule Networks Need an Improved Routing Algorithm

21 citations · 45 across the 8 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2022

Unidirectional Thin Adapter for Efficient Adaptation of Deep Neural Networks

Han Gyel Sun, Hyunjae Ahn, HyunGyu Lee +1

In this paper, we propose a new adapter network for adapting a pre-trained deep neural network to a target domain with minimal computation. The proposed model, unidirectional thin…

cs.CV2022★ 1 cited

One-shot Ultra-high-Resolution Generative Adversarial Network That Synthesizes 16K Images On A Single GPU

Junseok Oh, Donghwee Yoon, Injung Kim

We propose a one-shot ultra-high-resolution generative adversarial network (OUR-GAN) framework that generates non-repetitive 16K (16, 384 x 8, 640) images from a single training im…

cs.CV2019★ 21 cited

Capsule Networks Need an Improved Routing Algorithm

Inyoung Paik, Taeyeong Kwak, Injung Kim

In capsule networks, the routing algorithm connects capsules in consecutive layers, enabling the upper-level capsules to learn higher-level concepts by combining the concepts of th…

cs.CV2019★ 4 cited

Overcoming Catastrophic Forgetting by Neuron-level Plasticity Control

Inyoung Paik, Sangjun Oh, Tae-Yeong Kwak +1

To address the issue of catastrophic forgetting in neural networks, we propose a novel, simple, and effective solution called neuron-level plasticity control (NPC). While learning…

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