Heechul Jung

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 40

Top Topics

Object Detectors

Expression Recognition

Motion Segmentation

Top Venues

Publications

Wonjun Choi, Sangbeom Lee, Seungyeon Lee, Heechul Jung, Dong-Gyu Lee
Integrating Query-aware Segmentation and Cross-Attention for Robust VQA. CoRR (2024)
Guk-Jin Son, Heechul Jung, Young-Duk Kim
Temporal-Quality Ensemble Technique for Handling Image Blur in Packaging Defect Inspection. Sensors 24 (14) (2024)
Jae-Keun Lee, Jin-Hee Lee, Joohyun Lee, Soon Kwon, Heechul Jung
Re-VoxelDet: Rethinking Neck and Head Architectures for High-Performance Voxel-based 3D Detection. WACV (2024)
Vikas Palakonda, Jae-Mo Kang, Heechul Jung
Benchmarking Real-World Many-Objective Problems: A Problem Suite With Baseline Results. IEEE Access 12 (2024)
Haejin Lee, Jeongwoo Ju, Jonghyuck Lee, Yeoun Joo Lee, Heechul Jung
Semantic Map Guided Synthesis of Wireless Capsule Endoscopy Images using Diffusion Models. CoRR (2023)
Vikas Palakonda, Jae-Mo Kang, Heechul Jung
An effective ensemble framework for Many-Objective optimization based on AdaBoost and K-means clustering. Expert Syst. Appl. 227 (2023)
Athul Shibu, Abhishek Kumar, Heechul Jung, Dong-Gyu Lee
Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning. CoRR (2023)
Chaehyeon Lee, Jiuk Hong, Jonghyuck Lee, Taehoon Choi, Heechul Jung
Ordinal Regression for Beef Grade Classification. ICCE (2023)
Heechul Jung, Yoonju Oh, Seongho Jeong, Chaehyeon Lee, Taegyun Jeon
Contrastive Self-Supervised Learning With Smoothed Representation for Remote Sensing. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Jeongwoo Ju, Heechul Jung, Yoonju Oh, Junmo Kim
Extending Contrastive Learning to Unsupervised Coreset Selection. IEEE Access 10 (2022)
Chaehyeon Lee, Jiuk Hong, Heechul Jung
N-Step Pre-Training and Décalcomanie Data Augmentation for Micro-Expression Recognition. Sensors 22 (17) (2022)
Jae-Mo Kang, Sangseok Yun, Il-Min Kim, Heechul Jung
MSE-Based Joint Transceiver and Passive Beamforming Designs for Intelligent Reflecting Surface-Aided MIMO Systems. IEEE Wirel. Commun. Lett. 11 (3) (2022)
Vikas Palakonda, Jae-Mo Kang, Heechul Jung
An adaptive neighborhood based evolutionary algorithm with pivot- solution based selection for multi- and many-objective optimization. Inf. Sci. 607 (2022)
Jiuk Hong, Chaehyeon Lee, Soyoun Bang, Heechul Jung
Fair Comparison between Efficient Attentions. CoRR (2022)
Jaehyeop Choi, Chaehyeon Lee, Dong-Gyu Lee, Heechul Jung
SalfMix: A Novel Single Image-Based Data Augmentation Technique Using a Saliency Map. Sensors 21 (24) (2021)
Jaesin Ahn, Jiuk Hong, Jeongwoo Ju, Heechul Jung
Rethinking Query, Key, and Value Embedding in Vision Transformer under Tiny Model Constraints. CoRR (2021)
Chaehyeon Lee, Junghoon Seo, Heechul Jung
Training Domain-invariant Object Detector Faster with Feature Replay and Slow Learner. CoRR (2021)
Chaehyeon Lee, Junghoon Seo, Heechul Jung
Training Domain-Invariant Object Detector Faster With Feature Replay and Slow Learner. CVPR Workshops (2021)
Jeongwoo Ju, Heechul Jung, Yoonju Oh, Junmo Kim
Extending Contrastive Learning to Unsupervised Coreset Selection. CoRR (2021)
Jaemin Na, Heechul Jung, Hyung Jin Chang, Wonjun Hwang
FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation. CVPR (2021)
Jaemin Na, Heechul Jung, Hyung Jin Chang, Wonjun Hwang
FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation. CoRR (2020)
Min-Kook Choi, Heechul Jung
Development of Fast Refinement Detectors on AI Edge Platforms. ICPR Workshops (4) (2020)
Yegang Lee, Heechul Jung, Dongyoon Han, Kyungsu Kim, Junmo Kim
Learning Receptive Field Size by Learning Filter Size. WACV (2019)
Heechul Jung, Jeongwoo Ju, Wonjun Hwang, Junmo Kim
Refining background subtraction using consistent motion detection in adverse weather. J. Electronic Imaging 28 (2) (2019)
Heechul Jung, Jeongwoo Ju, Junmo Kim
Randomized Voting-Based Rigid-Body Motion Segmentation. IEEE Trans. Circuits Syst. Video Technol. 29 (3) (2019)
Min-Kook Choi, Jaehyung Park, Heechul Jung, Jin-Hee Lee, Soo-Heang Eo
Fast and Accurate Convolutional Object Detectors for Real-time Embedded Platforms. CoRR (2019)
Kyungmoon Lee, Min-Kook Choi, Heechul Jung
DavinciGAN: Unpaired Surgical Instrument Translation for Data Augmentation. MIDL (2019)
Heechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim
Less-Forgetful Learning for Domain Expansion in Deep Neural Networks. AAAI (2018)
Heechul Jung, Min-Kook Choi, Soon Kwon, Woo Young Jung
End-to-end pedestrian collision warning system based on a convolutional neural network with semantic segmentation. ICCE (2018)
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
Framework for Evaluating Vision-based Autonomous Steering Control Model. ITSC (2018)
Min-Kook Choi, Jaehyeong Park, Jihun Jung, Heechul Jung, Jin-Hee Lee, Woong-Jae Won, Woo Young Jung, Jincheol Kim, Soon Kwon
Co-occurrence matrix analysis-based semi-supervised training for object detection. CoRR (2018)
Junkwang Kim, Woo Young Jung, Heechul Jung, Dong Seog Han
Methodology for improving detection speed of pedestrians in autonomous vehicle by image class classification. ICCE (2018)
Min-Kook Choi, Jaehyeong Park, Jihun Jung, Heechul Jung, Jin-Hee Lee, Woong-Jae Won, Woo Young Jung, Jincheol Kim, Soon Kwon
Co-Occurrence Matrix Analysis-Based Semi-Supervised Training for Object Detection. ICIP (2018)
Min-Kook Choi, Jin-Hee Lee, Heechul Jung, Iman Rahmansyah Tayibnapis, Soon Kown
Simulation framework for improved UI/UX of AR-HUD display. ICCE (2018)
Han S. Lee, Heechul Jung, Alex A. Agarwal, Junmo Kim
Can Deep Neural Networks Match the Related Objects?: A Survey on ImageNet-trained Classification Models. CoRR (2017)
Heechul Jung, Min-Kook Choi, Jihun Jung, Jin-Hee Lee, Soon Kwon, Woo Young Jung
ResNet-Based Vehicle Classification and Localization in Traffic Surveillance Systems. CVPR Workshops (2017)
Heechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim
Less-forgetful Learning for Domain Expansion in Deep Neural Networks. CoRR (2017)
Heechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim
Less-forgetting Learning in Deep Neural Networks. CoRR (2016)
Injae Lee, Heechul Jung, Chunghyun Ahn, Jeongil Seo, Junmo Kim, Ohseok Kwon
Real-time personalized facial expression recognition system based on deep learning. ICCE (2016)
Heechul Jung, Min-Kook Choi, Soon Kwon, Woo Young Jung
End-to-End Pedestrian Collision Warning System based on a Convolutional Neural Network with Semantic Segmentation. CoRR (2016)
Heechul Jung, Sihaeng Lee, Sunjeong Park, Byungju Kim, Junmo Kim, Injae Lee, Chunghyun Ahn
Development of deep learning-based facial expression recognition system. FCV (2015)
Heechul Jung, Sihaeng Lee, Junho Yim, Sunjeong Park, Junmo Kim
Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition. ICCV (2015)
Heechul Jung, Sihaeng Lee, Sunjeong Park, Injae Lee, Chunghyun Ahn, Junmo Kim
Deep Temporal Appearance-Geometry Network for Facial Expression Recognition. CoRR (2015)
Junho Yim, Heechul Jung, ByungIn Yoo, Changkyu Choi, Du-Sik Park, Junmo Kim
Rotating your face using multi-task deep neural network. CVPR (2015)
Junho Yim, Jeongwoo Ju, Heechul Jung, Junmo Kim
Image Classification Using Convolutional Neural Networks With Multi-stage Feature. RiTA (2014)
Heechul Jung, Jeongwoo Ju, Junmo Kim
Rigid Motion Segmentation Using Randomized Voting. CVPR (2014)
SungRyull Sohn, Hansang Lee, Heechul Jung, Junmo Kim
High-definition video-based multi-channel top-view vehicle surrounding monitoring system for mobile navigation devices. ICCE (2013)
Heechul Jung, Junggon Min, Junmo Kim
An efficient lane detection algorithm for lane departure detection. Intelligent Vehicles Symposium (2013)
Jeongwoo Ju, Heechul Jung, Junmo Kim
Speaker dependent visual speech recognition using Extended Curvature Gabor filters. ICCE (2013)
Jeongwoo Ju, Heechul Jung, Junmo Kim
Speaker Dependent Visual Speech Recognition by Symbol and Real Value Assignment. RiTA (2012)
Heechul Jung, Moongu Jeon
Enhanced SVD Based Watermarking with Genetic Algorithm. FGIT-FGCN (2009)