Heechul Jung

发表

An Automatic Self Lane Recognition using Multi-lane and Lane Change Detection

Junmo Kim, Heechul Jung, Jeongwoo Ju, 2016 .

Extending Contrastive Learning to Unsupervised Redundancy Identification

Junmo Kim, Heechul Jung, Jeongwoo Ju, 2022, Applied Sciences.

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

Heechul Jung, Chaehyeon Lee, Jiuk Hong, 2022, Sensors.

Fair Comparison between Efficient Attentions

Heechul Jung, Chaehyeon Lee, Jiuk Hong, 2022, ArXiv.

DavinciGAN: Unpaired Surgical Instrument Translation for Data Augmentation

Heechul Jung, Min-Kook Choi, Kyungmoon Lee, 2018, International Conference on Medical Imaging with Deep Learning.

Contrastive Self-Supervised Learning With Smoothed Representation for Remote Sensing

Chaehyeon Lee, Heechul Jung, Taegyun Jeon, 2022, IEEE Geoscience and Remote Sensing Letters.

Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition

Junmo Kim, Heechul Jung, Sihaeng Lee, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Less-forgetting Learning in Deep Neural Networks pdf

Junmo Kim, Heechul Jung, Minju Jung, 2016, ArXiv.

FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation

Wonjun Hwang, Jaemin Na, Heechul Jung, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

An efficient lane detection algorithm for lane departure detection

Junmo Kim, Heechul Jung, Junggon Min, 2013, 2013 IEEE Intelligent Vehicles Symposium (IV).

Image Classification Using Convolutional Neural Networks With Multi-stage Feature

Junmo Kim, Heechul Jung, Junho Yim, 2014, RiTA.

An Effective Ensemble Framework for Many-Objective Optimization based on AdaBoost and K-means Clustering

Heechul Jung, Jae-Mo Kang, Vikas Palakonda, 2023, Expert Systems with Applications.

Hierarchical Federated Learning for Edge-Aided Unmanned Aerial Vehicle Networks

Heechul Jung, Jae-Mo Kang, Jamshid Tursunboev, 2022, Applied Sciences.

Deep Temporal Appearance-Geometry Network for Facial Expression Recognition pdf

Junmo Kim, Chunghyun Ahn, Injae Lee, 2015, ArXiv.

Less-forgetful Learning for Domain Expansion in Deep Neural Networks pdf

Junmo Kim, Heechul Jung, Minju Jung, 2017, AAAI.

Can Deep Neural Networks Match the Related Objects?: A Survey on ImageNet-trained Classification Models pdf

Junmo Kim, Heechul Jung, Han S. Lee, 2017, ArXiv.

Development of deep learning-based facial expression recognition system

Junmo Kim, Chunghyun Ahn, Injae Lee, 2015, 2015 21st Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV).

ResNet-Based Vehicle Classification and Localization in Traffic Surveillance Systems

Jin-Hee Lee, Soon Kwon, Jihun Jung, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

SalfMix: A Novel Single Image-Based Data Augmentation Technique Using a Saliency Map

Chaehyeon Lee, Heechul Jung, Jaehyeop Choi, 2021, Sensors.

Extending Contrastive Learning to Unsupervised Coreset Selection

Junmo Kim, Heechul Jung, Jeongwoo Ju, 2021, IEEE Access.

Development of Fast Refinement Detectors on AI Edge Platforms

Heechul Jung, Min-Kook Choi, Heechul Jung, 2020, ICPR Workshops.

Fast and Accurate Convolutional Object Detectors for Real-time Embedded Platforms

S. Eo, Jin-Hee Lee, Heechul Jung, 2019, ArXiv.

Late Fusion-Based Video Transformer for Facial Micro-Expression Recognition

Heechul Jung, Chaehyeon Lee, Jiuk Hong, 2022, Applied Sciences.

Rotating your face using multi-task deep neural network

Du-Sik Park, Junmo Kim, Heechul Jung, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Refining background subtraction using consistent motion detection in adverse weather

Heechul Jung, Jeongwoo Ju, Wonjun Hwang, 2019, J. Electronic Imaging.

Training Domain-invariant Object Detector Faster with Feature Replay and Slow Learner

Chaehyeon Lee, Heechul Jung, Junghoon Seo, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Semantic Segmentation Dataset for AI-Based Quantification of Clean Mucosa in Capsule Endoscopy

Heechul Jung, Jeongwoo Ju, Y. Lee, 2022, Medicina.

Ordinal Regression for Beef Grade Classification

Heechul Jung, Chaehyeon Lee, Taehoon Choi, 2023, 2023 IEEE International Conference on Consumer Electronics (ICCE).