Jong-Seok Lee

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 141

Top Venues

Publications

Sin-Young Kim, Jong-Seok Lee, Youchul Jeong, Young-Heon Jo
Decomposition of Submesoscale Ocean Wave and Current Derived from UAV-Based Observation. Remote. Sens. 16 (13) (2024)
Hyungkwon Lee, Chulgyu Francis Kim, Min-Seop Kim, Young-Ho Kim, Han-Kyoung Park, Jong-Seok Lee
Fault Detection of Air Defense Radar Systems Using Machine Learning. IMCOM (2024)
Juyeop Kim, Junha Park, Songkuk Kim, Jong-Seok Lee
Curved Representation Space of Vision Transformers. AAAI (2024)
Jaesub Yun, Jong-Seok Lee
Learning from class-imbalanced data using misclassification-focusing generative adversarial networks. Expert Syst. Appl. 240 (2024)
Jaehui Hwang, Huan Zhang, Jun-Ho Choi, Cho-Jui Hsieh, Jong-Seok Lee
Temporal shuffling for defending deep action recognition models against adversarial attacks. Neural Networks 169 (2024)
Yeontark Park, Jong-Seok Lee
PFSC: Parameter-free sphere classifier for imbalanced data classification. Expert Syst. Appl. 249 (2024)
Gihyun Kim, Juyeop Kim, Jong-Seok Lee
Exploring Adversarial Robustness of Vision Transformers in the Spectral Perspective. WACV (2024)
Hyunho Kim, Jong-Seok Lee
Scalable Monotonic Neural Networks. ICLR (2024)
Soobeom Jang, Junha Park, Jong-Seok Lee
Enhancing Graph Structures for Node Classification: An Alternative View on Adversarial Attacks. SMC (2023)
Jeeseung Park, Jin-Woo Park, Jong-Seok Lee
ViPLO: Vision Transformer based Pose-Conditioned Self-Loop Graph for Human-Object Interaction Detection. CoRR (2023)
Soobeom Jang, Soomin Lee, Junha Park, Jong-Seok Lee
Leveraging Feature Interaction for Modeling User-Item Interaction in Recommender Systems. SMC (2023)
Soobeom Jang, Seong-Eun Moon, Jong-Seok Lee
EEG-Based Emotional Video Classification via Learning Connectivity Structure. IEEE Trans. Affect. Comput. 14 (2) (2023)
Jeeseung Park, Jin-Woo Park, Jong-Seok Lee
ViPLO: Vision Transformer Based Pose-Conditioned Self-Loop Graph for Human-Object Interaction Detection. CVPR (2023)
SeungEun Yu, Jong-Seok Lee
LUT-LIC: Look-Up Table-Assisted Learned Image Compression. ICONIP (12) (2023)
Geun-Woo Jeon, SeungEun Yu, Jong-Seok Lee
Integer Quantized Learned Image Compression. ICIP (2023)
Junghyuk Lee, Jun-Hyuk Kim, Jong-Seok Lee
Demystifying Randomly Initialized Networks for Evaluating Generative Models. AAAI (2023)
Juyeop Kim, Jun-Ho Choi, Soobeom Jang, Jong-Seok Lee
Amicable Aid: Perturbing Images to Improve Classification Performance. ICASSP (2023)
Jong-Seok Lee, Ji-Yeon Baek, Jisun Shin, Jae-Seong Kim, Young-Heon Jo
Suspended Sediment Concentration Estimation along Turbid Water Outflow Using a Multispectral Camera on an Unmanned Aerial Vehicle. Remote. Sens. 15 (23) (2023)
Taeheung Kim, Jong-Seok Lee
BAND: BAgging noise detectors with application to semiconductor wafer denoising. Appl. Soft Comput. 147 (2023)
Juhuhn Kim, Michael T. M. Emmerich, Robert H. M. Voors, Barend Ording, Jong-Seok Lee
A Systematic Approach to Identify Shipping Emissions Using Spatio-Temporally Resolved TROPOMI Data. Remote. Sens. 15 (13) (2023)
Jaesub Yun, Jong-Seok Lee
Learning From Imbalanced Data Using Triplet Adversarial Samples. IEEE Access 11 (2023)
Minseok Han, Jong-Seok Lee
Temporal Peak-Management and Clustering System for Sustainable Learning With Application to the Excimer Laser Annealing Process. IEEE Access 11 (2023)
Jaehui Hwang, Junghyuk Lee, Jong-Seok Lee
Anomaly Score: Evaluating Generative Models and Individual Generated Images based on Complexity and Vulnerability. CoRR (2023)
Hyeongnam Jang, Yeejin Lee, Jong-Seok Lee
Probabilistic Modeling of Image Aesthetic Assessment Toward Measuring Subjectivity. IEEE Access 11 (2023)
Minseok Han, Jong-Seok Lee
Graph-based density peak merging for identifying multi-peak clusters. Appl. Soft Comput. 146 (2023)
Taeheung Kim, Jong-Seok Lee
Maximizing AUC to learn weighted naive Bayes for imbalanced data classification. Expert Syst. Appl. 217 (2023)
Seohyun Moon, Seong-Eun Moon, Jong-Seok Lee
Resting-State fNIRS Classification Using Connectivity and Convolutional Neural Networks. SMC (2022)
Jaehui Hwang, Dongyoon Han, Byeongho Heo, Song Park, Sanghyuk Chun, Jong-Seok Lee
Similarity of Neural Architectures Based on Input Gradient Transferability. CoRR (2022)
Jun-Hyuk Kim, Soobeom Jang, Jun-Ho Choi, Jong-Seok Lee
Successive learned image compression: Comprehensive analysis of instability. Neurocomputing 506 (2022)
Minseok Han, Jong-Seok Lee
Clustering by peak merging. ICKG (2022)
Junghyuk Lee, Jong-Seok Lee
TREND: Truncated Generalized Normal Density Estimation of Inception Embeddings for GAN Evaluation. ECCV (23) (2022)
Hojung Lee, Jong-Seok Lee
Rethinking Online Knowledge Distillation with Multi-exits. ACCV (6) (2022)
Jun-Hyuk Kim, Byeongho Heo, Jong-Seok Lee
Joint Global and Local Hierarchical Priors for Learned Image Compression. CVPR (2022)
Hojung Lee, Jaehui Hwang, Hwin Dol Park, Jaehun Choi, Jong-Seok Lee
Classifying Gas Data Measured Under Multiple Conditions Using Deep Learning. IEEE Access 10 (2022)
Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee
Deep Image Destruction: Vulnerability of Deep Image-to-Image Models against Adversarial Attacks. ICPR (2022)
Jaemin Lee, Juhuhn Kim, Hyunho Kim, Jong-Seok Lee
A Bayesian Approach to Predict Football Matches with Changed Home Advantage in Spectator-Free Matches after the COVID-19 Break. Entropy 24 (3) (2022)
Jaemin Lee, Minseok Han, Jong-Seok Lee
Convergence analysis of connection center evolution and faster clustering. Pattern Recognit. 127 (2022)
Juyeop Kim, Junha Park, Songkuk Kim, Jong-Seok Lee
Curved Representation Space of Vision Transformers. CoRR (2022)
Taeheung Kim, Jong-Seok Lee
Exponential Loss Minimization for Learning Weighted Naive Bayes Classifiers. IEEE Access 10 (2022)
Hyeongnam Jang, Yeejin Lee, Jong-Seok Lee
Modeling, Quantifying, and Predicting Subjectivity of Image Aesthetics. CoRR (2022)
Gihyun Kim, Jong-Seok Lee
Analyzing Adversarial Robustness of Vision Transformers against Spatial and Spectral Attacks. CoRR (2022)
Junha Park, Jun-Ho Choi, Jong-Seok Lee
Adversarial Robustness of Flow-based Image Super-Resolution. MMSP (2022)
Hojung Lee, Cho-Jui Hsieh, Jong-Seok Lee
Local Critic Training for Model-Parallel Learning of Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Junghyuk Lee, Jun-Hyuk Kim, Jong-Seok Lee
Demystifying Randomly Initialized Networks for Evaluating Generative Models. CoRR (2022)
Hyeongnam Jang, Jong-Seok Lee
Analysis of Deep Features for Image Aesthetic Assessment. IEEE Access 9 (2021)
Hojung Lee, Jong-Seok Lee
Students are the Best Teacher: Exit-Ensemble Distillation with Multi-Exits. CoRR (2021)
Jong-Wook Han, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee
Edge Attention Network for Image Deblurring and Super-Resolution. SMC (2021)
Manri Cheon, Toinon Vigier, Lukás Krasula, Junghyuk Lee, Patrick Le Callet, Jong-Seok Lee
Ambiguity of objective image quality metrics: A new methodology for performance evaluation. Signal Process. Image Commun. 93 (2021)
Jun-Ho Choi, Jun-Hyuk Kim, Manri Cheon, Jong-Seok Lee
Volatile-Nonvolatile Memory Network for Progressive Image Super-Resolution. IEEE Access 9 (2021)
Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee
Deep Image Destruction: A Comprehensive Study on Vulnerability of Deep Image-to-Image Models against Adversarial Attacks. CoRR (2021)
Jaehui Hwang, Huan Zhang, Jun-Ho Choi, Cho-Jui Hsieh, Jong-Seok Lee
Temporal Shuffling for Defending Deep Action Recognition Models against Adversarial Attacks. CoRR (2021)
Jisun Shin, Jong-Seok Lee, Lee-Hyun Jang, Jinwook Lim, Boo-Keun Khim, Young-Heon Jo
Sargassum Detection Using Machine Learning Models: A Case Study with the First 6 Months of GOCI-II Imagery. Remote. Sens. 13 (23) (2021)
Kyu-Lim Kim, Jeong-Soo Kim, Seung-Ri Song, Jun-Ho Choi, Chul-Min Joo, Jong-Seok Lee
Light Lies: Optical Adversarial Attack. CoRR (2021)
Seong-Eun Moon, Jun-Hyuk Kim, Sun-Wook Kim, Jong-Seok Lee
Prediction of Car Design Perception Using EEG and Gaze Patterns. IEEE Trans. Affect. Comput. 12 (4) (2021)
Jaehui Hwang, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee
Just One Moment: Structural Vulnerability of Deep Action Recognition against One Frame Attack. ICCV (2021)
Yeontark Park, Jong-Seok Lee
A Learning Objective Controllable Sphere-Based Method for Balanced and Imbalanced Data Classification. IEEE Access 9 (2021)
Junghyuk Lee, Toinon Vigier, Patrick Le Callet, Jong-Seok Lee
Wide Color Gamut Image Content Characterization: Method, Evaluation, and Applications. IEEE Trans. Multim. 23 (2021)
Hojung Lee, Cho-Jui Hsieh, Jong-Seok Lee
Local Critic Training for Model-Parallel Learning of Deep Neural Networks. CoRR (2021)
Manri Cheon, Toinon Vigier, Lukás Krasula, Junghyuk Lee, Patrick Le Callet, Jong-Seok Lee
Ambiguity of Objective Image Quality Metrics: A New Methodology for Performance Evaluation. CoRR (2021)
Junghyuk Lee, Jong-Seok Lee
TREND: Truncated Generalized Normal Density Estimation of Inception Embeddings for Accurate GAN Evaluation. CoRR (2021)
Junghyuk Lee, Toinon Vigier, Patrick Le Callet, Jong-Seok Lee
Wide Color Gamut Image Content Characterization: Method, Evaluation, and Applications. CoRR (2021)
Jun-Hyuk Kim, Byeongho Heo, Jong-Seok Lee
Joint Global and Local Hierarchical Priors for Learned Image Compression. CoRR (2021)
Juyeop Kim, Jun-Ho Choi, Soobeom Jang, Jong-Seok Lee
Amicable Aid: Turning Adversarial Attack to Benefit Classification. CoRR (2021)
Seong-Eun Moon, Chun-Jui Chen, Cho-Jui Hsieh, Jane-Ling Wang, Jong-Seok Lee
Emotional EEG Classification using Connectivity Features and Convolutional Neural Networks. CoRR (2021)
Seong-Eun Moon, Jong-Seok Lee
Learning Conjunctive Information of Signals in Multi-Sensor Systems. ECAI (2020)
Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Xiaotong Luo, Liang Chen, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. V. Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. ECCV Workshops (3) (2020)
Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee
Adversarially Robust Deep Image Super-Resolution Using Entropy Regularization. ACCV (4) (2020)
Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Xiaotong Luo, Liang Chen, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Liang Chen, Jiangtao Zhang, Xiaotong Luo, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. Victor Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Jiangtao Zhang, Xiaotong Luo, Liang Chen, Yanyun Qu, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. CoRR (2020)
Jin-Woo Park, Jong-Seok Lee
Dynamic Thresholding for Learning Sparse Neural Networks. ECAI (2020)
Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee
Srzoo: An Integrated Repository For Super-Resolution Using Deep Learning. ICASSP (2020)
Jun-Hyuk Kim, Jun-Ho Choi, Jaehyuk Chang, Jong-Seok Lee
Efficient Deep Learning-Based Lossy Image Compression Via Asymmetric Autoencoder and Pruning. ICASSP (2020)
Jun-Hyuk Kim, Soobeom Jang, Jun-Ho Choi, Jong-Seok Lee
Instability of Successive Deep Image Compression. ACM Multimedia (2020)
Pengxu Wei, Hannan Lu, Radu Timofte, Liang Lin, Wangmeng Zuo, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Tangxin Xie, Liang Cao, Yan Zou, Yi Shen, Jialiang Zhang, Yu Jia, Kaihua Cheng, Chenhuan Wu, Yue Lin, Cen Liu, Yunbo Peng, Xueyi Zou, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Keon-Hee Ahn, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee, Tongtong Zhao, Shanshan Zhao, Yoseob Han, Byung-Hoon Kim, JaeHyun Baek, Haoning Wu, Dejia Xu, Bo Zhou, Wei Guan, Xiaobo Li, Chen Ye, Hao Li, Haoyu Zhong, Yukai Shi, Zhijing Yang, Xiaojun Yang, Xin Li, Xin Jin, Yaojun Wu, Yingxue Pang, Sen Liu, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Marie-Paule Cani, Wan-Chi Siu, Yuanbo Zhou, Rao Muhammad Umer, Christian Micheloni, Xiaofeng Cong, Rajat Gupta, Feras Almasri, Thomas Vandamme, Olivier Debeir
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results. CoRR (2020)
Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee
LarvaNet: Hierarchical Super-Resolution via Multi-exit Architecture. ECCV Workshops (3) (2020)
Pengxu Wei, Hannan Lu, Radu Timofte, Liang Lin, Wangmeng Zuo, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Tangxin Xie, Liang Cao, Yan Zou, Yi Shen, Jialiang Zhang, Yu Jia, Kaihua Cheng, Chenhuan Wu, Yue Lin, Cen Liu, Yunbo Peng, Xueyi Zou, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Keon-Hee Ahn, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee, Tongtong Zhao, Shanshan Zhao, Yoseob Han, Byung-Hoon Kim, JaeHyun Baek, Haoning Wu, Dejia Xu, Bo Zhou, Wei Guan, Xiaobo Li, Chen Ye, Hao Li, Haoyu Zhong, Yukai Shi, Zhijing Yang, Xiaojun Yang, Xin Li, Xin Jin, Yaojun Wu, Yingxue Pang, Sen Liu, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Marie-Paule Cani, Wan-Chi Siu, Yuanbo Zhou, Rao Muhammad Umer, Christian Micheloni, Xiaofeng Cong, Rajat Gupta, Feras Almasri, Thomas Vandamme, Olivier Debeir
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results. ECCV Workshops (3) (2020)
Jaehui Hwang, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee
Just One Moment: Inconspicuous One Frame Attack on Deep Action Recognition. CoRR (2020)
Seong-Eun Moon, Jong-Seok Lee
MaDeNet: Disentangling Individuality of EEG Signals through Feature Space Mapping and Detachment. EMBC (2020)
Jun-Hyuk Kim, Jun-Ho Choi, Manri Cheon, Jong-Seok Lee
MAMNet: Multi-path adaptive modulation network for image super-resolution. Neurocomputing 402 (2020)
Seong-Eun Moon, Chun-Jui Chen, Cho-Jui Hsieh, Jane-Ling Wang, Jong-Seok Lee
Emotional EEG classification using connectivity features and convolutional neural networks. Neural Networks 132 (2020)
Jun-Ho Choi, Jong-Seok Lee
EmbraceNet for Activity: A Deep Multimodal Fusion Architecture for Activity Recognition. CoRR (2020)
Jun-Ho Choi, Jun-Hyuk Kim, Manri Cheon, Jong-Seok Lee
Deep learning-based image super-resolution considering quantitative and perceptual quality. Neurocomputing 398 (2020)
Jun-Ho Choi, Kyungmin Kim, Taejin Park, Junho Yun, Jong-Hwan Lee, Songkuk Kim, Hyunjung Shim, Jong-Seok Lee
Real-time Integrated Human Activity Recognition System based on Multimodal User Understanding. IUI Companion (2020)
Won-Hee Kim, Jun-Ho Choi, Jong-Seok Lee
Objectivity and Subjectivity in Aesthetic Quality Assessment of Digital Photographs. IEEE Trans. Affect. Comput. 11 (3) (2020)
Hyeonjung Park, Jong-Seok Lee, JeongGil Ko
Achieving Real-Time Sign Language Translation Using a Smartphone's True Depth Images. COMSNETS (2020)
Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee
SRZoo: An integrated repository for super-resolution using deep learning. CoRR (2020)
Hojung Lee, Jong-Seok Lee
Local Critic Training of Deep Neural Networks. IJCNN (2019)
Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee
Evaluating Robustness of Deep Image Super-Resolution Against Adversarial Attacks. ICCV (2019)
Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, Jong-Seok Lee
Evaluating Robustness of Deep Image Super-Resolution against Adversarial Attacks. CoRR (2019)
Jun-Ho Choi, Jong-Seok Lee
EmbraceNet: A robust deep learning architecture for multimodal classification. Inf. Fusion 51 (2019)
Taekyu Lee, Seong-Eun Moon, Jongsoo Baek, Jong-Seok Lee, Songkuk Kim
Music for Sleep and Wake-Up: An Empirical Study. IEEE Access 7 (2019)
Jun-Ho Choi, Jong-Seok Lee
EmbraceNet: A robust deep learning architecture for multimodal classification. CoRR (2019)
Soobeom Jang, Seong-Eun Moon, Jong-Seok Lee
Brain Signal Classification via Learning Connectivity Structure. CoRR (2019)
Jong-Seok Lee
AUC4.5: AUC-Based C4.5 Decision Tree Algorithm for Imbalanced Data Classification. IEEE Access 7 (2019)
Ji-Yeon Baek, Young-Heon Jo, Wonkook Kim, Jong-Seok Lee, Dawoon Jung, Dae-Won Kim, Jungho Nam
A New Algorithm to Estimate Chlorophyll-A Concentrations in Turbid Yellow Sea Water Using a Multispectral Sensor in a Low-Altitude Remote Sensing System. Remote. Sens. 11 (19) (2019)
Jun-Ho Choi, Jong-Seok Lee
EmbraceNet for activity: a deep multimodal fusion architecture for activity recognition. UbiComp/ISWC Adjunct (2019)
Jun-Ho Choi, Jong-Seok Lee
Confidence-based Deep Multimodal Fusion for Activity Recognition. UbiComp/ISWC Adjunct (2018)
Seong-Eun Moon, Jong-Seok Lee
Perceptual Experience Analysis for Tone-mapped HDR Videos based on EEG and Peripheral Physiological Signals. CoRR (2018)
Seong-Eun Moon, Soobeom Jang, Jong-Seok Lee
Evaluation of Preference of Multimedia Content using Deep Neural Networks for Electroencephalography. CoRR (2018)
Seong-Eun Moon, Soobeom Jang, Jong-Seok Lee
Convolutional Neural Network Approach for EEG-based Emotion Recognition using Brain Connectivity and its Spatial Information. CoRR (2018)
Jun-Hyuk Kim, Jun-Ho Choi, Choong-Hyun Seo, Jaehyuk Chang, Jong-Seok Lee
Deep learning-based super-resolution for digital comics. SIGGRAPH ASIA Posters (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jong-Seok Lee