Heechul Jung

Heechul Jung

Kyungpook National University

H-index: 16

Asia-South Korea

About Heechul Jung

Heechul Jung, With an exceptional h-index of 16 and a recent h-index of 16 (since 2020), a distinguished researcher at Kyungpook National University, specializes in the field of Computer Vision, Deep Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Teacher–Student Model Using Grounding DINO and You Only Look Once for Multi-Sensor-Based Object Detection

Re-VoxelDet: Rethinking Neck and Head Architectures for High-Performance Voxel-based 3D Detection

Semantic Map Guided Synthesis of Wireless Capsule Endoscopy Images using Diffusion Models

A GAN Model with Controllable Lesion Generation for Synthetic Capsule Endoscopy Datasets

An effective ensemble framework for Many-Objective optimization based on AdaBoost and K-means clustering

Redesigning Embedding Layers for Queries, Keys, and Values in Cross-Covariance Image Transformers

Clean mucosal area detection of gastroenterologists versus artificial intelligence in small bowel capsule endoscopy

Rewarded Meta-Pruning: Meta Learning with Rewards for Channel Pruning

Heechul Jung Information

University

Position

Assistant Professor

Citations(all)

2533

Citations(since 2020)

1983

Cited By

1302

hIndex(all)

16

hIndex(since 2020)

16

i10Index(all)

18

i10Index(since 2020)

17

Email

University Profile Page

Kyungpook National University

Google Scholar

View Google Scholar Profile

Heechul Jung Skills & Research Interests

Computer Vision

Deep Learning

Top articles of Heechul Jung

Title

Journal

Author(s)

Publication Date

Teacher–Student Model Using Grounding DINO and You Only Look Once for Multi-Sensor-Based Object Detection

Applied Sciences

Jinhwan Son

Heechul Jung

2024/3/7

Re-VoxelDet: Rethinking Neck and Head Architectures for High-Performance Voxel-based 3D Detection

Jae-Keun Lee

Jin-Hee Lee

Joohyun Lee

Soon Kwon

Heechul Jung

2024

Semantic Map Guided Synthesis of Wireless Capsule Endoscopy Images using Diffusion Models

arXiv preprint arXiv:2311.05889

Haejin Lee

Jeongwoo Ju

Jonghyuck Lee

Yeoun Joo Lee

Heechul Jung

2023/11/10

A GAN Model with Controllable Lesion Generation for Synthetic Capsule Endoscopy Datasets

Hyundong Choi

Heechul Jung

2023/10/27

An effective ensemble framework for Many-Objective optimization based on AdaBoost and K-means clustering

Expert Systems with Applications

Vikas Palakonda

Jae-Mo Kang

Heechul Jung

2023/10/1

Redesigning Embedding Layers for Queries, Keys, and Values in Cross-Covariance Image Transformers

Mathematics

Jaesin Ahn

Jiuk Hong

Jeongwoo Ju

Heechul Jung

2023/4/19

Clean mucosal area detection of gastroenterologists versus artificial intelligence in small bowel capsule endoscopy

Medicine

Jeongwoo Ju

Hyun Sook Oh

Yeoun Joo Lee

Heechul Jung

Jong-Hyuck Lee

...

2023/2/10

Rewarded Meta-Pruning: Meta Learning with Rewards for Channel Pruning

Mathematics

Athul Shibu

Abhishek Kumar

Heechul Jung

Dong-Gyu Lee

2023/12/1

Ordinal Regression for Beef Grade Classification

Chaehyeon Lee

Jiuk Hong

Jonghyuck Lee

Taehoon Choi

Heechul Jung

2023/1/6

Semantic segmentation dataset for AI-based quantification of clean mucosa in capsule endoscopy

Medicina

Jeong-Woo Ju

Heechul Jung

Yeoun Joo Lee

Sang-Wook Mun

Jong-Hyuck Lee

2022/3/7

N-Step Pre-Training and Décalcomanie Data Augmentation for Micro-Expression Recognition

Sensors

Chaehyeon Lee

Jiuk Hong

Heechul Jung

2022/9/3

Training data reduction for deep learning-based image classifications using random sample consensus

Journal of Electronic Imaging

Heechul Jung

Jeongwoo Ju

2022/1/1

Competing miners: A synergetic solution for combining blockchain and edge computing in unmanned aerial vehicle networks

Applied Sciences

Jacob Mathias Nilsen

Jun-Hyun Park

Sangseok Yun

Jae-Mo Kang

Heechul Jung

2022/3/2

An adaptive neighborhood based evolutionary algorithm with pivot-solution based selection for multi-and many-objective optimization

Information Sciences

Vikas Palakonda

Jae-Mo Kang

Heechul Jung

2022/8/1

Extending Contrastive Learning to Unsupervised Redundancy Identification

Applied Sciences

Jeongwoo Ju

Heechul Jung

Junmo Kim

2022/2/20

ESTABLISHING SEMANTIC SEGMENTATION DATASET FOR AI-BASED QUANTIFICATION OF CLEAN MUCOSA IN CAPSULE ENDOSCOPY

Gastrointestinal Endoscopy

Jeongwoo Ju

Yeoun Joo Lee

Heechul Jung

Jonghyuck Lee

2022/6/1

Late fusion-based video transformer for facial micro-expression recognition

Applied Sciences

Jiuk Hong

Chaehyeon Lee

Heechul Jung

2022/1/23

Fair Comparison between Efficient Attentions

arXiv preprint arXiv:2206.00244

Jiuk Hong

Chaehyeon Lee

Soyoun Bang

Heechul Jung

2022/6/1

Extending contrastive learning to unsupervised coreset selection

IEEE Access

Jeongwoo Ju

Heechul Jung

Yoonju Oh

Junmo Kim

2022/1/13

Hierarchical federated learning for edge-aided unmanned aerial vehicle networks

Applied Sciences

Jamshid Tursunboev

Yong-Sung Kang

Sung-Bum Huh

Dong-Woo Lim

Jae-Mo Kang

...

2022/1/11

See List of Professors in Heechul Jung University(Kyungpook National University)

Co-Authors

H-index: 40
Junmo Kim

Junmo Kim

KAIST

H-index: 36
Dusik Park

Dusik Park

Sungkyunkwan University

H-index: 29
Hyung Jin Chang

Hyung Jin Chang

University of Birmingham

H-index: 25
Wonjun Hwang

Wonjun Hwang

Ajou University

H-index: 17
Jae-Mo Kang

Jae-Mo Kang

Kyungpook National University

H-index: 6
Sunjeong Park

Sunjeong Park

KAIST

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