In Kyu Park

Professor

Inha University

South Korea

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About

Professor In Kyu Park is a faculty member at Inha University in South Korea. His research areas include fluid-cloth interaction, light field super-resolution, facial image generation, and human motion prediction. He has contributed to several recent publications, focusing on advanced topics such as real-time action recognition, synthetic face datasets, and effective data augmentation techniques.

Articles (18)

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2025

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2025

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2025

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2025

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2024

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2023

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2023

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2023

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2022

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2022

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2022

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2021

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2021

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2021

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2021

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2020

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2020

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2020

Collaborators (2)

Tae Hyun Kim

Hanyang University

SOUTH KOREA

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Sungeun Hong

Inha University

SOUTH KOREA

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In Kyu Park

Research Interests

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About

Articles (18)

Unified GPU Framework for Simulating Wave Turbulence, Diffusion, and Wrinkling in Fluid-Cloth Interaction

Optical Flow-based Patch Search and GPU Parallelization for LFBM5D

CutMAA: Motion-Aware Data Augmentation for Light Field Super-Resolution

FaceArchive: Facial Image Tokenizer for Identity and Attribute Preserving Face Generation

Factorized 3D-CNN for Real-Time Fall Detection and Action Recognition on Embedded System

Re-Aging GAN++: Temporally Consistent Transformation of Faces in Videos

SegTex: A Large Scale Synthetic Face Dataset for Face Recognition

Synthesizing Industrial Defect Images Under Data Imbalance

Holistic 3D face and head reconstruction with geometric details from a single image

Deep Learning for 3D Human Motion Prediction: State-of-the-Art and Future Trends

Holistic 3D Body Reconstruction From a Blurred Single Image

Controllable Image Dataset Construction Using Conditionally Transformed Inputs in Generative Adversarial Networks

Generative Adversarial Networks With Attention Mechanisms at Every Scale

Human and Scene Motion Deblurring Using Pseudo-Blur Synthesizer

Universal Framework for Joint Image Restoration and 3D Body Reconstruction

A flexible and configurable GPGPU stereo matching framework

360 Panorama Synthesis from a Sparse Set of Images on a Low-Power Device

Joint Face Super-Resolution and Deblurring Using Generative Adversarial Network

Collaborators (2)

Tae Hyun Kim

Sungeun Hong

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