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Heechul Jung
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2020 – today
- 2024
- [j12]Vikas Palakonda, Jae-Mo Kang
, Heechul Jung
Benchmarking Real-World Many-Objective Problems: A Problem Suite With Baseline Results. IEEE Access 12: 49275-49290 (2024) - [j11]Vikas Palakonda, Jae-Mo Kang
Clustering-Aided Grid-Based One-to-One Selection-Driven Evolutionary Algorithm for Multi/Many-Objective Optimization. IEEE Access 12: 120612-120623 (2024) - [j10]Guk-Jin Son
Temporal-Quality Ensemble Technique for Handling Image Blur in Packaging Defect Inspection. Sensors 24(14): 4438 (2024) - [c26]Jihun Park, Jiuk Hong, Jihun Yoon, Bokyung Park, Min-Kook Choi, Heechul Jung:
Towards Precise Pose Estimation in Robotic Surgery: Introducing Occlusion-Aware Loss. MICCAI (6) 2024: 639-648 - [c25]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: 7488-7497 - [i15]Wonjun Choi, Sangbeom Lee, Seungyeon Lee, Heechul Jung, Dong-Gyu Lee:
Integrating Query-aware Segmentation and Cross-Attention for Robust VQA. CoRR abs/2407.12055 (2024) - 2023
- [j9]Vikas Palakonda, Jae-Mo Kang
An effective ensemble framework for Many-Objective optimization based on AdaBoost and K-means clustering. Expert Syst. Appl. 227: 120278 (2023) - [c24]Chaehyeon Lee, Jiuk Hong, Jonghyuck Lee, Taehoon Choi, Heechul Jung:
Ordinal Regression for Beef Grade Classification. ICCE 2023: 1-3 - [i14]Athul Shibu, Abhishek Kumar, Heechul Jung, Dong-Gyu Lee:
Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning. CoRR abs/2301.11063 (2023) - [i13]Haejin Lee, Jeongwoo Ju, Jonghyuck Lee, Yeoun Joo Lee, Heechul Jung:
Semantic Map Guided Synthesis of Wireless Capsule Endoscopy Images using Diffusion Models. CoRR abs/2311.05889 (2023) - 2022
- [j8]Jeongwoo Ju
Extending Contrastive Learning to Unsupervised Coreset Selection. IEEE Access 10: 7704-7715 (2022) - [j7]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: 126-152 (2022) - [j6]Heechul Jung
Contrastive Self-Supervised Learning With Smoothed Representation for Remote Sensing. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j5]Chaehyeon Lee
N-Step Pre-Training and Décalcomanie Data Augmentation for Micro-Expression Recognition. Sensors 22(17): 6671 (2022) - [j4]Jae-Mo Kang
MSE-Based Joint Transceiver and Passive Beamforming Designs for Intelligent Reflecting Surface-Aided MIMO Systems. IEEE Wirel. Commun. Lett. 11(3): 622-626 (2022) - [i12]Jiuk Hong, Chaehyeon Lee, Soyoun Bang, Heechul Jung:
Fair Comparison between Efficient Attentions. CoRR abs/2206.00244 (2022) - 2021
- [j3]Jaehyeop Choi, Chaehyeon Lee
SalfMix: A Novel Single Image-Based Data Augmentation Technique Using a Saliency Map. Sensors 21(24): 8444 (2021) - [c23]Jaemin Na, Heechul Jung, Hyung Jin Chang
FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation. CVPR 2021: 1094-1103 - [c22]Chaehyeon Lee, Junghoon Seo, Heechul Jung:
Training Domain-Invariant Object Detector Faster With Feature Replay and Slow Learner. CVPR Workshops 2021: 1172-1181 - [i11]Jeongwoo Ju, Heechul Jung, Yoonju Oh, Junmo Kim:
Extending Contrastive Learning to Unsupervised Coreset Selection. CoRR abs/2103.03574 (2021) - [i10]Chaehyeon Lee, Junghoon Seo, Heechul Jung:
Training Domain-invariant Object Detector Faster with Feature Replay and Slow Learner. CoRR abs/2105.14693 (2021) - [i9]Jaesin Ahn
Rethinking Query, Key, and Value Embedding in Vision Transformer under Tiny Model Constraints. CoRR abs/2111.10017 (2021) - 2020
- [c21]Min-Kook Choi
Development of Fast Refinement Detectors on AI Edge Platforms. ICPR Workshops (4) 2020: 592-606 - [i8]Jaemin Na, Heechul Jung, Hyung Jin Chang, Wonjun Hwang:
FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation. CoRR abs/2011.09230 (2020)
2010 – 2019
- 2019
- [j2]Heechul Jung, Jeongwoo Ju, Wonjun Hwang, Junmo Kim:
Refining background subtraction using consistent motion detection in adverse weather. J. Electronic Imaging 28(2): 020501 (2019) - [j1]Heechul Jung
Randomized Voting-Based Rigid-Body Motion Segmentation. IEEE Trans. Circuits Syst. Video Technol. 29(3): 698-713 (2019) - [c20]Kyungmoon Lee, Min-Kook Choi, Heechul Jung:
DavinciGAN: Unpaired Surgical Instrument Translation for Data Augmentation. MIDL 2019: 326-336 - [c19]Yegang Lee, Heechul Jung, Dongyoon Han, Kyungsu Kim, Junmo Kim:
Learning Receptive Field Size by Learning Filter Size. WACV 2019: 1203-1212 - [i7]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 abs/1909.10798 (2019) - 2018
- [c18]Heechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim:
Less-Forgetful Learning for Domain Expansion in Deep Neural Networks. AAAI 2018: 3358-3365 - [c17]Min-Kook Choi
Simulation framework for improved UI/UX of AR-HUD display. ICCE 2018: 1-4 - [c16]Heechul Jung, Min-Kook Choi
End-to-end pedestrian collision warning system based on a convolutional neural network with semantic segmentation. ICCE 2018: 1-3 - [c15]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: 1-2 - [c14]Min-Kook Choi
Co-Occurrence Matrix Analysis-Based Semi-Supervised Training for Object Detection. ICIP 2018: 1333-1337 - [c13]Soon Kwon, Jaehyeong Park, Heechul Jung, Jihun Jung, Min-Kook Choi
Framework for Evaluating Vision-based Autonomous Steering Control Model. ITSC 2018: 1310-1316 - [i6]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 abs/1802.06964 (2018) - 2017
- [c12]Heechul Jung, Min-Kook Choi
ResNet-Based Vehicle Classification and Localization in Traffic Surveillance Systems. CVPR Workshops 2017: 934-940 - [i5]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 abs/1709.03806 (2017) - [i4]Heechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim:
Less-forgetful Learning for Domain Expansion in Deep Neural Networks. CoRR abs/1711.05959 (2017) - 2016
- [c11]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: 267-268 - [i3]Heechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim:
Less-forgetting Learning in Deep Neural Networks. CoRR abs/1607.00122 (2016) - [i2]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 abs/1612.06558 (2016) - 2015
- [c10]Junho Yim, Heechul Jung, ByungIn Yoo, Changkyu Choi, Du-Sik Park, Junmo Kim:
Rotating your face using multi-task deep neural network. CVPR 2015: 676-684 - [c9]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: 1-4 - [c8]Heechul Jung, Sihaeng Lee, Junho Yim, Sunjeong Park, Junmo Kim:
Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition. ICCV 2015: 2983-2991 - [i1]Heechul Jung, Sihaeng Lee, Sunjeong Park, Injae Lee, Chunghyun Ahn, Junmo Kim:
Deep Temporal Appearance-Geometry Network for Facial Expression Recognition. CoRR abs/1503.01532 (2015) - 2014
- [c7]Heechul Jung, Jeongwoo Ju, Junmo Kim:
Rigid Motion Segmentation Using Randomized Voting. CVPR 2014: 1210-1217 - [c6]Junho Yim, Jeongwoo Ju, Heechul Jung, Junmo Kim:
Image Classification Using Convolutional Neural Networks With Multi-stage Feature. RiTA 2014: 587-594 - 2013
- [c5]Jeongwoo Ju, Heechul Jung, Junmo Kim:
Speaker dependent visual speech recognition using Extended Curvature Gabor filters. ICCE 2013: 314-315 - [c4]SungRyull Sohn
High-definition video-based multi-channel top-view vehicle surrounding monitoring system for mobile navigation devices. ICCE 2013: 655-656 - [c3]Heechul Jung, Junggon Min, Junmo Kim:
An efficient lane detection algorithm for lane departure detection. Intelligent Vehicles Symposium 2013: 976-981 - 2012
- [c2]Jeongwoo Ju, Heechul Jung, Junmo Kim:
Speaker Dependent Visual Speech Recognition by Symbol and Real Value Assignment. RiTA 2012: 1015-1022
2000 – 2009
- 2009
- [c1]Heechul Jung, Moongu Jeon:
Enhanced SVD Based Watermarking with Genetic Algorithm. FGIT-FGCN 2009: 586-593
Coauthor Index
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last updated on 2024-10-11 17:24 CEST by the dblp team
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