Heechul Jung - RankMe

60 papers A* 6A 2B 2C 7Journal 32Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Mechanistic Dissection of Cross-Attention Subspaces in Text-to-Image Diffusion Models. AAAI Jun-Hyun Bae, Wonyong Jo, Jaehyup Lee, Heechul Jung
2025	J	`jnl`	Bridging domain spaces for unsupervised domain adaptation. Pattern Recognit. Jaemin Na, Heechul Jung, Hyung Jin Chang, Wonjun Hwang
2025	J	`jnl`	Design of a Compact Broadband Vector Network Analyzer to Diagnose a Semiconductor Process Chamber. IEEE Trans. Instrum. Meas. Seong-Jin Kim, Heechul Jung, Jong-Won Yu, Jeong-Wook Kim, Hanam Kim, Sang-Won Lee
2025	J	`jnl`	Distorting Embedding Space for Safety: A Defense Mechanism for Adversarially Robust Diffusion Models. CoRR Jaesin Ahn, Heechul Jung
2025	J	`jnl`	GDoT: A gated dual domain transformer for enhanced MRI off-resonance correction. Neurocomputing Jaesin Ahn, Heechul Jung
2024	—	`conf`	Adaptive Bias Discovery for Learning Debiased Classifier. ACCV (8) Jun-Hyun Bae, Minho Lee, Heechul Jung
2024	J	`jnl`	Benchmarking Real-World Many-Objective Problems: A Problem Suite With Baseline Results. IEEE Access Vikas Palakonda, Jae-Mo Kang, Heechul Jung
2024	J	`jnl`	Clustering-Aided Grid-Based One-to-One Selection-Driven Evolutionary Algorithm for Multi/Many-Objective Optimization. IEEE Access Vikas Palakonda, Jae-Mo Kang, Heechul Jung
2024	J	`jnl`	Integrating Query-aware Segmentation and Cross-Attention for Robust VQA. CoRR Wonjun Choi, Sangbeom Lee, Seungyeon Lee, Heechul Jung, Dong-Gyu Lee
2024	A	`conf`	Re-VoxelDet: Rethinking Neck and Head Architectures for High-Performance Voxel-based 3D Detection. WACV Jae-Keun Lee, Jin-Hee Lee, Joohyun Lee, Soon Kwon, Heechul Jung
2024	J	`jnl`	Temporal-Quality Ensemble Technique for Handling Image Blur in Packaging Defect Inspection. Sensors Guk-Jin Son, Heechul Jung, Young-Duk Kim
2024	—	`conf`	Towards Precise Pose Estimation in Robotic Surgery: Introducing Occlusion-Aware Loss. MICCAI (6) Jihun Park, Jiuk Hong, Jihun Yoon, Bokyung Park, Min-Kook Choi, Heechul Jung
2023	J	`jnl`	An effective ensemble framework for Many-Objective optimization based on AdaBoost and K-means clustering. Expert Syst. Appl. Vikas Palakonda, Jae-Mo Kang, Heechul Jung
2023	C	`conf`	Ordinal Regression for Beef Grade Classification. ICCE Chaehyeon Lee, Jiuk Hong, Jonghyuck Lee, Taehoon Choi, Heechul Jung
2023	J	`jnl`	Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning. CoRR Athul Shibu, Abhishek Kumar, Heechul Jung, Dong-Gyu Lee
2023	J	`jnl`	Semantic Map Guided Synthesis of Wireless Capsule Endoscopy Images using Diffusion Models. CoRR Haejin Lee, Jeongwoo Ju, Jonghyuck Lee, Yeoun Joo Lee, Heechul Jung
2022	J	`jnl`	An adaptive neighborhood based evolutionary algorithm with pivot- solution based selection for multi- and many-objective optimization. Inf. Sci. Vikas Palakonda, Jae-Mo Kang, Heechul Jung
2022	J	`jnl`	Contrastive Self-Supervised Learning With Smoothed Representation for Remote Sensing. IEEE Geosci. Remote. Sens. Lett. Heechul Jung, Yoonju Oh, Seongho Jeong, Chaehyeon Lee, Taegyun Jeon
2022	J	`jnl`	Extending Contrastive Learning to Unsupervised Coreset Selection. IEEE Access Jeongwoo Ju, Heechul Jung, Yoonju Oh, Junmo Kim
2022	J	`jnl`	Fair Comparison between Efficient Attentions. CoRR Jiuk Hong, Chaehyeon Lee, Soyoun Bang, Heechul Jung
2022	J	`jnl`	MSE-Based Joint Transceiver and Passive Beamforming Designs for Intelligent Reflecting Surface-Aided MIMO Systems. IEEE Wirel. Commun. Lett. Jae-Mo Kang, Sangseok Yun, Il-Min Kim, Heechul Jung
2022	J	`jnl`	N-Step Pre-Training and Décalcomanie Data Augmentation for Micro-Expression Recognition. Sensors Chaehyeon Lee, Jiuk Hong, Heechul Jung
2022	J	`jnl`	Training data reduction for deep learning-based image classifications using random sample consensus. J. Electronic Imaging Heechul Jung, Jeongwoo Ju
2021	J	`jnl`	Extending Contrastive Learning to Unsupervised Coreset Selection. CoRR Jeongwoo Ju, Heechul Jung, Yoonju Oh, Junmo Kim
2021	A*	`conf`	FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation. CVPR Jaemin Na, Heechul Jung, Hyung Jin Chang, Wonjun Hwang
2021	J	`jnl`	Rethinking Query, Key, and Value Embedding in Vision Transformer under Tiny Model Constraints. CoRR Jaesin Ahn, Jiuk Hong, Jeongwoo Ju, Heechul Jung
2021	J	`jnl`	SalfMix: A Novel Single Image-Based Data Augmentation Technique Using a Saliency Map. Sensors Jaehyeop Choi, Chaehyeon Lee, Dong-Gyu Lee, Heechul Jung
2021	—	`conf`	Training Domain-Invariant Object Detector Faster With Feature Replay and Slow Learner. CVPR Workshops Chaehyeon Lee, Junghoon Seo, Heechul Jung
2021	J	`jnl`	Training Domain-invariant Object Detector Faster with Feature Replay and Slow Learner. CoRR Chaehyeon Lee, Junghoon Seo, Heechul Jung
2020	—	`conf`	Development of Fast Refinement Detectors on AI Edge Platforms. ICPR Workshops (4) Min-Kook Choi, Heechul Jung
2020	J	`jnl`	FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation. CoRR Jaemin Na, Heechul Jung, Hyung Jin Chang, Wonjun Hwang
2019	—	`conf`	DavinciGAN: Unpaired Surgical Instrument Translation for Data Augmentation. MIDL Kyungmoon Lee, Min-Kook Choi, Heechul Jung
2019	J	`jnl`	Fast and Accurate Convolutional Object Detectors for Real-time Embedded Platforms. CoRR Min-Kook Choi, Jaehyung Park, Heechul Jung, Jin-Hee Lee, Soo-Heang Eo
2019	A	`conf`	Learning Receptive Field Size by Learning Filter Size. WACV Yegang Lee, Heechul Jung, Dongyoon Han, Kyungsu Kim, Junmo Kim
2019	J	`jnl`	Randomized Voting-Based Rigid-Body Motion Segmentation. IEEE Trans. Circuits Syst. Video Technol. Heechul Jung, Jeongwoo Ju, Junmo Kim
2019	J	`jnl`	Refining background subtraction using consistent motion detection in adverse weather. J. Electronic Imaging Heechul Jung, Jeongwoo Ju, Wonjun Hwang, Junmo Kim
2018	B	`conf`	Co-Occurrence Matrix Analysis-Based Semi-Supervised Training for Object Detection. ICIP Min-Kook Choi, Jaehyeong Park, Jihun Jung, Heechul Jung, Jin-Hee Lee, Woong-Jae Won, Woo Young Jung, Jincheol Kim, Soon Kwon
2018	J	`jnl`	Co-occurrence matrix analysis-based semi-supervised training for object detection. CoRR Min-Kook Choi, Jaehyeong Park, Jihun Jung, Heechul Jung, Jin-Hee Lee, Woong-Jae Won, Woo Young Jung, Jincheol Kim, Soon Kwon
2018	C	`conf`	End-to-end pedestrian collision warning system based on a convolutional neural network with semantic segmentation. ICCE Heechul Jung, Min-Kook Choi, Soon Kwon, Woo Young Jung
2018	—	`conf`	Framework for Evaluating Vision-based Autonomous Steering Control Model. ITSC 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
2018	A*	`conf`	Less-Forgetful Learning for Domain Expansion in Deep Neural Networks. AAAI Heechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim
2018	C	`conf`	Methodology for improving detection speed of pedestrians in autonomous vehicle by image class classification. ICCE Junkwang Kim, Woo Young Jung, Heechul Jung, Dong Seog Han
2018	C	`conf`	Simulation framework for improved UI/UX of AR-HUD display. ICCE Min-Kook Choi, Jin-Hee Lee, Heechul Jung, Iman Rahmansyah Tayibnapis, Soon Kown
2017	J	`jnl`	Can Deep Neural Networks Match the Related Objects?: A Survey on ImageNet-trained Classification Models. CoRR Han S. Lee, Heechul Jung, Alex A. Agarwal, Junmo Kim
2017	J	`jnl`	Less-forgetful Learning for Domain Expansion in Deep Neural Networks. CoRR Heechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim
2017	—	`conf`	ResNet-Based Vehicle Classification and Localization in Traffic Surveillance Systems. CVPR Workshops Heechul Jung, Min-Kook Choi, Jihun Jung, Jin-Hee Lee, Soon Kwon, Woo Young Jung
2016	J	`jnl`	End-to-End Pedestrian Collision Warning System based on a Convolutional Neural Network with Semantic Segmentation. CoRR Heechul Jung, Min-Kook Choi, Soon Kwon, Woo Young Jung
2016	J	`jnl`	Less-forgetting Learning in Deep Neural Networks. CoRR Heechul Jung, Jeongwoo Ju, Minju Jung, Junmo Kim
2016	C	`conf`	Real-time personalized facial expression recognition system based on deep learning. ICCE Injae Lee, Heechul Jung, Chunghyun Ahn, Jeongil Seo, Junmo Kim, Ohseok Kwon
2015	J	`jnl`	Deep Temporal Appearance-Geometry Network for Facial Expression Recognition. CoRR Heechul Jung, Sihaeng Lee, Sunjeong Park, Injae Lee, Chunghyun Ahn, Junmo Kim
2015	—	`conf`	Development of deep learning-based facial expression recognition system. FCV Heechul Jung, Sihaeng Lee, Sunjeong Park, Byungju Kim, Junmo Kim, Injae Lee, Chunghyun Ahn
2015	A*	`conf`	Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition. ICCV Heechul Jung, Sihaeng Lee, Junho Yim, Sunjeong Park, Junmo Kim
2015	A*	`conf`	Rotating your face using multi-task deep neural network. CVPR Junho Yim, Heechul Jung, ByungIn Yoo, Changkyu Choi, Du-Sik Park, Junmo Kim
2014	—	`conf`	Image Classification Using Convolutional Neural Networks With Multi-stage Feature. RiTA Junho Yim, Jeongwoo Ju, Heechul Jung, Junmo Kim
2014	A*	`conf`	Rigid Motion Segmentation Using Randomized Voting. CVPR Heechul Jung, Jeongwoo Ju, Junmo Kim
2013	B	`conf`	An efficient lane detection algorithm for lane departure detection. Intelligent Vehicles Symposium Heechul Jung, Junggon Min, Junmo Kim
2013	C	`conf`	High-definition video-based multi-channel top-view vehicle surrounding monitoring system for mobile navigation devices. ICCE Sungryull Sohn, Hansang Lee, Heechul Jung, Junmo Kim
2013	C	`conf`	Speaker dependent visual speech recognition using Extended Curvature Gabor filters. ICCE Jeongwoo Ju, Heechul Jung, Junmo Kim
2012	—	`conf`	Speaker Dependent Visual Speech Recognition by Symbol and Real Value Assignment. RiTA Jeongwoo Ju, Heechul Jung, Junmo Kim
2009	—	`conf`	Enhanced SVD Based Watermarking with Genetic Algorithm. FGIT-FGCN Heechul Jung, Moongu Jeon