Enhanced SVD Based Watermarking with Genetic Algorithm. - Heechul Jung; Moongu Jeon (FGIT-FGCN, 2009)

Speaker Dependent Visual Speech Recognition by Symbol and Real Value Assignment. - Jeongwoo Ju; Heechul Jung; Junmo Kim 002 (RiTA, 2012)

Speaker dependent visual speech recognition using Extended Curvature Gabor filters. - Jeongwoo Ju; Heechul Jung; Junmo Kim 002 (ICCE, 2013)

High-definition video-based multi-channel top-view vehicle surrounding monitoring system for mobile navigation devices. - SungRyull Sohn; Hansang Lee; Heechul Jung; Junmo Kim 002 (ICCE, 2013)

An efficient lane detection algorithm for lane departure detection. - Heechul Jung; Junggon Min; Junmo Kim 002 (Intelligent Vehicles Symposium, 2013)

Rigid Motion Segmentation Using Randomized Voting. - Heechul Jung; Jeongwoo Ju; Junmo Kim 002 (CVPR, 2014)

Image Classification Using Convolutional Neural Networks With Multi-stage Feature. - Junho Yim; Jeongwoo Ju; Heechul Jung; Junmo Kim 002 (RiTA, 2014)

Rotating your face using multi-task deep neural network. - Junho Yim; Heechul Jung; ByungIn Yoo; Changkyu Choi; Du-Sik Park; Junmo Kim 002 (CVPR, 2015)

Development of deep learning-based facial expression recognition system. - Heechul Jung; Sihaeng Lee; Sunjeong Park; Byungju Kim; Junmo Kim 002; Injae Lee; Chunghyun Ahn (FCV, 2015)

Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition. - Heechul Jung; Sihaeng Lee; Junho Yim; Sunjeong Park; Junmo Kim 002 (ICCV, 2015)

Deep Temporal Appearance-Geometry Network for Facial Expression Recognition. - Heechul Jung; Sihaeng Lee; Sunjeong Park; Injae Lee; Chunghyun Ahn; Junmo Kim 002 (CoRR, 2015)

Real-time personalized facial expression recognition system based on deep learning. - Injae Lee; Heechul Jung; Chunghyun Ahn; Jeongil Seo; Junmo Kim 002; Ohseok Kwon (ICCE, 2016)

Less-forgetting Learning in Deep Neural Networks. - Heechul Jung; Jeongwoo Ju; Minju Jung; Junmo Kim 002 (CoRR, 2016)

ResNet-Based Vehicle Classification and Localization in Traffic Surveillance Systems. - Heechul Jung; Min-Kook Choi; Jihun Jung; Jin-Hee Lee; Soon Kwon; Woo Young Jung (CVPR Workshops, 2017)

Can Deep Neural Networks Match the Related Objects?: A Survey on ImageNet-trained Classification Models. - Han S. Lee; Heechul Jung; Alex A. Agarwal; Junmo Kim 002 (CoRR, 2017)

Less-Forgetful Learning for Domain Expansion in Deep Neural Networks. - Heechul Jung; Jeongwoo Ju; Minju Jung; Junmo Kim 002 (AAAI, 2018)

Simulation framework for improved UI/UX of AR-HUD display. - Min-Kook Choi; Jin-Hee Lee; Heechul Jung; Iman Rahmansyah Tayibnapis; Soon Kown (ICCE, 2018)

End-to-end pedestrian collision warning system based on a convolutional neural network with semantic segmentation. - Heechul Jung; Min-Kook Choi; Soon Kwon; Woo Young Jung (ICCE, 2018)

Methodology for improving detection speed of pedestrians in autonomous vehicle by image class classification. - Junkwang Kim; Woo Young Jung; Heechul Jung; Dong Seog Han (ICCE, 2018)

Co-Occurrence Matrix Analysis-Based Semi-Supervised Training for Object Detection. - Min-Kook Choi; Jaehyeong Park; Jihun Jung; Heechul Jung; Jin-Hee Lee; Woong-Jae Won; Woo Young Jung; Jincheol Kim; Soon Kwon (ICIP, 2018)

Framework for Evaluating Vision-based Autonomous Steering Control Model. - Soon Kwon; Jaehyeong Park; Heechul Jung; Jihun Jung; Min-Kook Choi; Iman Rahmansyah Tayibnapis; Jin-Hee Lee; Woong-Jae Won; Sung-Hoon Youn; Kwang-Hoe Kim; Tae Hun Kim (ITSC, 2018)

DavinciGAN: Unpaired Surgical Instrument Translation for Data Augmentation. - Kyungmoon Lee; Min-Kook Choi; Heechul Jung (MIDL, 2019)

Learning Receptive Field Size by Learning Filter Size. - Yegang Lee; Heechul Jung; Dongyoon Han; Kyungsu Kim 003; Junmo Kim 002 (WACV, 2019)

Fast and Accurate Convolutional Object Detectors for Real-time Embedded Platforms. - Min-Kook Choi; Jaehyung Park; Heechul Jung; Jin-Hee Lee; Soo-Heang Eo (CoRR, 2019)

Refining background subtraction using consistent motion detection in adverse weather. - Heechul Jung; Jeongwoo Ju; Wonjun Hwang; Junmo Kim 002 (J. Electronic Imaging, 2019)

Randomized Voting-Based Rigid-Body Motion Segmentation. - Heechul Jung; Jeongwoo Ju; Junmo Kim 002 (IEEE Trans. Circuits Syst. Video Technol., 2019)

Development of Fast Refinement Detectors on AI Edge Platforms. - Min-Kook Choi; Heechul Jung (ICPR Workshops (4), 2020)

Training Domain-Invariant Object Detector Faster With Feature Replay and Slow Learner. - Chaehyeon Lee; Junghoon Seo; Heechul Jung (CVPR Workshops, 2021)

FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation. - Jaemin Na; Heechul Jung; Hyung Jin Chang; Wonjun Hwang (CVPR, 2021)

Rethinking Query, Key, and Value Embedding in Vision Transformer under Tiny Model Constraints. - Jaesin Ahn; Jiuk Hong; Jeongwoo Ju; Heechul Jung (CoRR, 2021)

SalfMix: A Novel Single Image-Based Data Augmentation Technique Using a Saliency Map. - Jaehyeop Choi; Chaehyeon Lee; Dong-Gyu Lee; Heechul Jung (Sensors, 2021)

Extending Contrastive Learning to Unsupervised Coreset Selection. - Jeongwoo Ju; Heechul Jung; Yoonju Oh; Junmo Kim 002 (IEEE Access, 2022)

Fair Comparison between Efficient Attentions. - Jiuk Hong; Chaehyeon Lee; Soyoun Bang; Heechul Jung (CoRR, 2022)

An adaptive neighborhood based evolutionary algorithm with pivot- solution based selection for multi- and many-objective optimization. - Vikas Palakonda; Jae-Mo Kang; Heechul Jung (Inf. Sci., 2022)

Training data reduction for deep learning-based image classifications using random sample consensus. - Heechul Jung; Jeongwoo Ju (J. Electronic Imaging, 2022)

Contrastive Self-Supervised Learning With Smoothed Representation for Remote Sensing. - Heechul Jung; Yoonju Oh; Seongho Jeong; Chaehyeon Lee; Taegyun Jeon (IEEE Geosci. Remote. Sens. Lett., 2022)

N-Step Pre-Training and Décalcomanie Data Augmentation for Micro-Expression Recognition. - Chaehyeon Lee; Jiuk Hong; Heechul Jung (Sensors, 2022)

MSE-Based Joint Transceiver and Passive Beamforming Designs for Intelligent Reflecting Surface-Aided MIMO Systems. - Jae-Mo Kang; Sangseok Yun; Il-Min Kim 001; Heechul Jung (IEEE Wirel. Commun. Lett., 2022)

Ordinal Regression for Beef Grade Classification. - Chaehyeon Lee; Jiuk Hong; Jonghyuck Lee; Taehoon Choi; Heechul Jung (ICCE, 2023)

Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning. - Athul Shibu; Abhishek Kumar 010; Heechul Jung; Dong-Gyu Lee (CoRR, 2023)

Semantic Map Guided Synthesis of Wireless Capsule Endoscopy Images using Diffusion Models. - Haejin Lee; Jeongwoo Ju; Jonghyuck Lee; Yeoun Joo Lee; Heechul Jung (CoRR, 2023)

An effective ensemble framework for Many-Objective optimization based on AdaBoost and K-means clustering. - Vikas Palakonda; Jae-Mo Kang; Heechul Jung (Expert Syst. Appl., 2023)

Adaptive Bias Discovery for Learning Debiased Classifier. - Jun-Hyun Bae; Minho Lee 001; Heechul Jung (ACCV (8), 2024)

Towards Precise Pose Estimation in Robotic Surgery: Introducing Occlusion-Aware Loss. - Jihun Park; Jiuk Hong; Jihun Yoon; Bokyung Park; Min-Kook Choi; Heechul Jung (MICCAI (6), 2024)

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 (WACV, 2024)

Benchmarking Real-World Many-Objective Problems: A Problem Suite With Baseline Results. - Vikas Palakonda; Jae-Mo Kang; Heechul Jung (IEEE Access, 2024)

Clustering-Aided Grid-Based One-to-One Selection-Driven Evolutionary Algorithm for Multi/Many-Objective Optimization. - Vikas Palakonda; Jae-Mo Kang; Heechul Jung (IEEE Access, 2024)

Integrating Query-aware Segmentation and Cross-Attention for Robust VQA. - Wonjun Choi; Sangbeom Lee; Seungyeon Lee; Heechul Jung; Dong-Gyu Lee (CoRR, 2024)

Temporal-Quality Ensemble Technique for Handling Image Blur in Packaging Defect Inspection. - Guk-Jin Son; Heechul Jung; Young-Duk Kim (Sensors, 2024)

GDoT: A gated dual domain transformer for enhanced MRI off-resonance correction. - Jaesin Ahn; Heechul Jung (Neurocomputing, 2025)

Bridging domain spaces for unsupervised domain adaptation. - Jaemin Na; Heechul Jung; Hyung Jin Chang; Wonjun Hwang (Pattern Recognit., 2025)

Design of a Compact Broadband Vector Network Analyzer to Diagnose a Semiconductor Process Chamber. - Seong-Jin Kim; Heechul Jung; Jong-Won Yu; Jeong-Wook Kim; Hanam Kim; Sang-Won Lee (IEEE Trans. Instrum. Meas., 2025)

Distorting Embedding Space for Safety: A Defense Mechanism for Adversarially Robust Diffusion Models. - Jaesin Ahn; Heechul Jung (CoRR, 2025)