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2020 – today
- 2023
[j71]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: 24535-24544 (2023)- [j70]Jaesub Yun, Jong-Seok Lee:
Learning From Imbalanced Data Using Triplet Adversarial Samples. IEEE Access 11: 31467-31478 (2023) - [j69]Taeheung Kim, Jong-Seok Lee:
Maximizing AUC to learn weighted naive Bayes for imbalanced data classification. Expert Syst. Appl. 217: 119564 (2023) - [j68]Soobeom Jang, Seong-Eun Moon, Jong-Seok Lee:
EEG-Based Emotional Video Classification via Learning Connectivity Structure. IEEE Trans. Affect. Comput. 14(2): 1586-1597 (2023) - [i39]Jeeseung Park, Jin-Woo Park, Jong-Seok Lee:
ViPLO: Vision Transformer based Pose-Conditioned Self-Loop Graph for Human-Object Interaction Detection. CoRR abs/2304.08114 (2023) - 2022
- [j67]Taeheung Kim, Jong-Seok Lee:
Exponential Loss Minimization for Learning Weighted Naive Bayes Classifiers. IEEE Access 10: 22724-22736 (2022) - [j66]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: 68138-68150 (2022) - [j65]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): 366 (2022) - [j64]Jun-Hyuk Kim, Soobeom Jang, Jun-Ho Choi, Jong-Seok Lee:
Successive learned image compression: Comprehensive analysis of instability. Neurocomputing 506: 12-24 (2022) - [j63]Jaemin Lee, Minseok Han, Jong-Seok Lee:
Convergence analysis of connection center evolution and faster clustering. Pattern Recognit. 127: 108639 (2022) - [j62]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): 4424-4436 (2022) - [c90]Hojung Lee, Jong-Seok Lee:
Rethinking Online Knowledge Distillation with Multi-exits. ACCV (6) 2022: 408-424 - [c89]Jun-Hyuk Kim, Byeongho Heo, Jong-Seok Lee:
Joint Global and Local Hierarchical Priors for Learned Image Compression. CVPR 2022: 5982-5991 - [c88]Junghyuk Lee, Jong-Seok Lee:
TREND: Truncated Generalized Normal Density Estimation of Inception Embeddings for GAN Evaluation. ECCV (23) 2022: 87-103 - [c87]Minseok Han, Jong-Seok Lee:
Clustering by peak merging. ICKG 2022: 87-96 - [c86]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: 1287-1293 - [c85]Junha Park, Jun-Ho Choi, Jong-Seok Lee:
Adversarial Robustness of Flow-based Image Super-Resolution. MMSP 2022: 1-6 - [c84]Seohyun Moon, Seong-Eun Moon, Jong-Seok Lee:
Resting-State fNIRS Classification Using Connectivity and Convolutional Neural Networks. SMC 2022: 1724-1729 - [i38]Junghyuk Lee, Jun-Hyuk Kim, Jong-Seok Lee:
Demystifying Randomly Initialized Networks for Evaluating Generative Models. CoRR abs/2208.09218 (2022) - [i37]Gihyun Kim, Jong-Seok Lee:
Analyzing Adversarial Robustness of Vision Transformers against Spatial and Spectral Attacks. CoRR abs/2208.09602 (2022) - [i36]Hyeongnam Jang, Yeejin Lee, Jong-Seok Lee:
Modeling, Quantifying, and Predicting Subjectivity of Image Aesthetics. CoRR abs/2208.09666 (2022) - [i35]Juyeop Kim, Junha Park, Songkuk Kim, Jong-Seok Lee:
Curved Representation Space of Vision Transformers. CoRR abs/2210.05742 (2022) - [i34]Jaehui Hwang, Dongyoon Han, Byeongho Heo, Song Park, Sanghyuk Chun, Jong-Seok Lee:
Similarity of Neural Architectures Based on Input Gradient Transferability. CoRR abs/2210.11407 (2022) - 2021
- [j61]Hyeongnam Jang, Jong-Seok Lee:
Analysis of Deep Features for Image Aesthetic Assessment. IEEE Access 9: 29850-29861 (2021) - [j60]Jun-Ho Choi, Jun-Hyuk Kim, Manri Cheon, Jong-Seok Lee:
Volatile-Nonvolatile Memory Network for Progressive Image Super-Resolution. IEEE Access 9: 37487-37496 (2021) - [j59]Yeontark Park, Jong-Seok Lee:
A Learning Objective Controllable Sphere-Based Method for Balanced and Imbalanced Data Classification. IEEE Access 9: 158010-158026 (2021) - [j58]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): 4844 (2021) - [j57]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: 116150 (2021) - [j56]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): 843-856 (2021) - [j55]Junghyuk Lee, Toinon Vigier, Patrick Le Callet, Jong-Seok Lee:
Wide Color Gamut Image Content Characterization: Method, Evaluation, and Applications. IEEE Trans. Multim. 23: 3817-3827 (2021) - [c83]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: 7648-7656 - [c82]Jong-Wook Han, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee:
Edge Attention Network for Image Deblurring and Super-Resolution. SMC 2021: 2401-2406 - [i33]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 abs/2101.07069 (2021) - [i32]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 abs/2101.07439 (2021) - [i31]Junghyuk Lee, Toinon Vigier, Patrick Le Callet, Jong-Seok Lee:
Wide Color Gamut Image Content Characterization: Method, Evaluation, and Applications. CoRR abs/2101.07451 (2021) - [i30]Hojung Lee, Cho-Jui Hsieh, Jong-Seok Lee:
Local Critic Training for Model-Parallel Learning of Deep Neural Networks. CoRR abs/2102.01963 (2021) - [i29]Hojung Lee, Jong-Seok Lee:
Students are the Best Teacher: Exit-Ensemble Distillation with Multi-Exits. CoRR abs/2104.00299 (2021) - [i28]Junghyuk Lee, Jong-Seok Lee:
TREND: Truncated Generalized Normal Density Estimation of Inception Embeddings for Accurate GAN Evaluation. CoRR abs/2104.14767 (2021) - [i27]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 abs/2104.15022 (2021) - [i26]Kyu-Lim Kim, Jeong-Soo Kim, Seung-Ri Song, Jun-Ho Choi, Chul-Min Joo, Jong-Seok Lee:
Light Lies: Optical Adversarial Attack. CoRR abs/2106.09908 (2021) - [i25]Jun-Hyuk Kim, Byeongho Heo, Jong-Seok Lee:
Joint Global and Local Hierarchical Priors for Learned Image Compression. CoRR abs/2112.04487 (2021) - [i24]Juyeop Kim, Jun-Ho Choi, Soobeom Jang, Jong-Seok Lee:
Amicable Aid: Turning Adversarial Attack to Benefit Classification. CoRR abs/2112.04720 (2021) - [i23]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 abs/2112.07921 (2021) - 2020
- [j54]Jun-Ho Choi, Jun-Hyuk Kim, Manri Cheon, Jong-Seok Lee:
Deep learning-based image super-resolution considering quantitative and perceptual quality. Neurocomputing 398: 347-359 (2020) - [j53]Jun-Hyuk Kim, Jun-Ho Choi, Manri Cheon, Jong-Seok Lee:
MAMNet: Multi-path adaptive modulation network for image super-resolution. Neurocomputing 402: 38-49 (2020) - [j52]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: 96-107 (2020) - [j51]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): 493-506 (2020) - [c81]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: 301-317 - [c80]Hyeonjung Park, Jong-Seok Lee, JeongGil Ko:
Achieving Real-Time Sign Language Translation Using a Smartphone's True Depth Images. COMSNETS 2020: 622-625 - [c79]Seong-Eun Moon, Jong-Seok Lee:
Learning Conjunctive Information of Signals in Multi-Sensor Systems. ECAI 2020: 1363-1370 - [c78]Jin-Woo Park, Jong-Seok Lee:
Dynamic Thresholding for Learning Sparse Neural Networks. ECAI 2020: 1403-1410 - [c77]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: 5-40 - [c76]Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee:
LarvaNet: Hierarchical Super-Resolution via Multi-exit Architecture. ECCV Workshops (3) 2020: 73-86 - [c75]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: 392-422 - [c74]Seong-Eun Moon, Jong-Seok Lee:
MaDeNet: Disentangling Individuality of EEG Signals through Feature Space Mapping and Detachment. EMBC 2020: 260-263 - [c73]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: 2063-2067 - [c72]Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee:
Srzoo: An Integrated Repository For Super-Resolution Using Deep Learning. ICASSP 2020: 2508-2512 - [c71]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: 89-90 - [c70]Jun-Hyuk Kim, Soobeom Jang, Jun-Ho Choi, Jong-Seok Lee:
Instability of Successive Deep Image Compression. ACM Multimedia 2020: 247-255 - [e2]M. Reha Civanlar, Lucile Sassatelli, Jong-Seok Lee:
Proceedings of the 30th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, NOSSDAV 2020, Istanbul, Turkey, June 10-11, 2020. ACM 2020, ISBN 978-1-4503-7945-8 [contents] - [i22]Jun-Ho Choi, Jong-Seok Lee:
EmbraceNet for Activity: A Deep Multimodal Fusion Architecture for Activity Recognition. CoRR abs/2004.13918 (2020) - [i21]Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee:
SRZoo: An integrated repository for super-resolution using deep learning. CoRR abs/2006.01339 (2020) - [i20]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, 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, 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, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni:
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. CoRR abs/2009.06943 (2020) - [i19]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 abs/2009.12072 (2020) - [i18]Jaehui Hwang, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee:
Just One Moment: Inconspicuous One Frame Attack on Deep Action Recognition. CoRR abs/2011.14585 (2020)
2010 – 2019
- 2019
- [j50]Jong-Seok Lee:
AUC4.5: AUC-Based C4.5 Decision Tree Algorithm for Imbalanced Data Classification. IEEE Access 7: 106034-106042 (2019) - [j49]Taekyu Lee, Seong-Eun Moon, Jongsoo Baek, Jong-Seok Lee, Songkuk Kim:
Music for Sleep and Wake-Up: An Empirical Study. IEEE Access 7: 145816-145828 (2019) - [j48]Jun-Ho Choi, Jong-Seok Lee:
EmbraceNet: A robust deep learning architecture for multimodal classification. Inf. Fusion 51: 259-270 (2019) - [j47]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): 2257 (2019) - [c69]Jun-Ho Choi, Jong-Seok Lee:
EmbraceNet for activity: a deep multimodal fusion architecture for activity recognition. UbiComp/ISWC Adjunct 2019: 693-698 - [c68]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: 303-311 - [c67]Hojung Lee, Jong-Seok Lee:
Local Critic Training of Deep Neural Networks. IJCNN 2019: 1-8 - [i17]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 abs/1904.06097 (2019) - [i16]Jun-Ho Choi, Jong-Seok Lee:
EmbraceNet: A robust deep learning architecture for multimodal classification. CoRR abs/1904.09078 (2019) - [i15]Soobeom Jang, Seong-Eun Moon, Jong-Seok Lee:
Brain Signal Classification via Learning Connectivity Structure. CoRR abs/1905.11678 (2019) - 2018
- [j46]Manri Cheon, Jong-Seok Lee:
Subjective and Objective Quality Assessment of Compressed 4K UHD Videos for Immersive Experience. IEEE Trans. Circuits Syst. Video Technol. 28(7): 1467-1480 (2018) - [j45]Junghyuk Lee, Jong-Seok Lee:
Music Popularity: Metrics, Characteristics, and Audio-Based Prediction. IEEE Trans. Multim. 20(11): 3173-3182 (2018) - [c66]Jun-Hyuk Kim, Jong-Seok Lee:
Deep Residual Network With Enhanced Upscaling Module for Super-Resolution. CVPR Workshops 2018: 800-808 - [c65]Manri Cheon, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee:
Generative Adversarial Network-Based Image Super-Resolution Using Perceptual Content Losses. ECCV Workshops (5) 2018: 51-62 - [c64]Jun-Ho Choi, Jong-Seok Lee:
Confidence-based Deep Multimodal Fusion for Activity Recognition. UbiComp/ISWC Adjunct 2018: 1548-1556 - [c63]Seong-Eun Moon, Soobeom Jang, Jong-Seok Lee:
Convolutional Neural Network Approach for Eeg-Based Emotion Recognition Using Brain Connectivity and its Spatial Information. ICASSP 2018: 2556-2560 - [c62]Soobeom Jang, Seong-Eun Moon, Jong-Seok Lee:
Eeg-Based Video Identification Using Graph Signal Modeling and Graph Convolutional Neural Network. ICASSP 2018: 3066-3070 - [c61]Junghyuk Lee, Toinon Vigier, Patrick Le Callet, Jong-Seok Lee:
A Perception-Based Framework for Wide Color Gamut Content Selection. ICIP 2018: 709-713 - [c60]Seong-Eun Moon, Soobeom Jang, Jong-Seok Lee:
Evaluation of preference of multimedia content using deep neural networks for electroencephalography. QoMEX 2018: 1-6 - [c59]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: 19:1-19:2 - [c58]Jaehui Hwang, Seong-Eun Moon, Jong-Seok Lee:
On the Repeatability of EEG-Based Image Quality Assessment. SMC 2018: 1785-1788 - [c57]Jooyeon Lee, Jong-Seok Lee:
Perceptual Switch for Gaze Selection. UIST (Adjunct Volume) 2018: 78-80 - [i14]Hojung Lee, Jong-Seok Lee:
Local Critic Training for Model-Parallel Learning of Deep Neural Networks. CoRR abs/1805.01128 (2018) - [i13]Seong-Eun Moon, Soobeom Jang, Jong-Seok Lee:
Evaluation of Preference of Multimedia Content using Deep Neural Networks for Electroencephalography. CoRR abs/1809.03650 (2018) - [i12]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 abs/1809.04208 (2018) - [i11]Soobeom Jang, Seong-Eun Moon, Jong-Seok Lee:
EEG-based video identification using graph signal modeling and graph convolutional neural network. CoRR abs/1809.04229 (2018) - [i10]Seong-Eun Moon, Jong-Seok Lee:
Implicit Analysis of Perceptual Multimedia Experience Based on Physiological Response: A Review. CoRR abs/1809.04254 (2018) - [i9]Seong-Eun Moon, Jong-Seok Lee:
Perceptual Experience Analysis for Tone-mapped HDR Videos based on EEG and Peripheral Physiological Signals. CoRR abs/1809.04777 (2018) - [i8]Manri Cheon, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee:
Generative adversarial network-based image super-resolution using perceptual content losses. CoRR abs/1809.04783 (2018) - [i7]Jun-Ho Choi, Jun-Hyuk Kim, Manri Cheon, Jong-Seok Lee:
Deep Learning-based Image Super-Resolution Considering Quantitative and Perceptual Quality. CoRR abs/1809.04789 (2018) - [i6]Soobeom Jang, Jong-Seok Lee:
On Evaluating Perceptual Quality of Online User-Generated Videos. CoRR abs/1809.05220 (2018) - [i5]Jun-Hyuk Kim, Jun-Ho Choi, Manri Cheon, Jong-Seok Lee:
RAM: Residual Attention Module for Single Image Super-Resolution. CoRR abs/1811.12043 (2018) - [i4]Jun-Ho Choi, Jun-Hyuk Kim, Manri Cheon, Jong-Seok Lee:
Lightweight and Efficient Image Super-Resolution with Block State-based Recursive Network. CoRR abs/1811.12546 (2018) - [i3]Junghyuk Lee, Jong-Seok Lee:
Music Popularity: Metrics, Characteristics, and Audio-Based Prediction. CoRR abs/1812.00551 (2018) - 2017
- [j44]Soo-Jin Kim, Gee-Yong Suk, Jong-Seok Lee, Chan-Byoung Chae:
QoE-Aware Scalable Video Transmission in MIMO Systems. IEEE Commun. Mag. 55(8): 196-203 (2017) - [j43]Taeheung Kim, Byung Do Chung, Jong-Seok Lee:
Incorporating receiver operating characteristics into naive Bayes for unbalanced data classification. Computing 99(3): 203-218 (2017) - [j42]Wonji Lee, Chi-Hyuck Jun, Jong-Seok Lee:
Instance categorization by support vector machines to adjust weights in AdaBoost for imbalanced data classification. Inf. Sci. 381: 92-103 (2017) - [j41]Won-Hee Kim, Jong-Seok Lee:
Blind single image super resolution with low computational complexity. Multim. Tools Appl. 76(5): 7235-7249 (2017) - [j40]Seong-Eun Moon, Jong-Seok Lee:
Implicit Analysis of Perceptual Multimedia Experience Based on Physiological Response: A Review. IEEE Trans. Multim. 19(2): 340-353 (2017) - [c56]Seong-Eun Moon, Jun-Hyuk Kim, Sun-Wook Kim, Jong-Seok Lee:
Assessing Product Design Using Photos and Real Products. CHI Extended Abstracts 2017: 1100-1107 - [c55]Jun-Ho Choi, Manri Cheon, Jong-Seok Lee:
Influence of Video Quality on Multi-view Activity Recognition. ISM 2017: 511-515 - [c54]Jun-Ho Choi, Manri Cheon, Min-Su Choi, Jong-Seok Lee:
Impact of Three-Dimensional Video Scalability on Multi-View Activity Recognition using Deep Learning. ACM Multimedia (Thematic Workshops) 2017: 135-143 - [c53]Jun-Ho Choi, Jong-Seok Lee:
Aesthetic temporal and spatial editing of casual videos. SIGGRAPH ASIA (Posters) 2017: 42:1-42:2 - [i2]Jun-Ho Choi, Manri Cheon, Min-Su Choi, Jong-Seok Lee:
Impact of Three-Dimensional Video Scalability on Multi-View Activity Recognition using Deep Learning. CoRR abs/1709.10206 (2017) - 2016
- [j39]Manri Cheon, Jong-Seok Lee:
Evaluation of objective quality metrics for multidimensional video scalability. J. Vis. Commun. Image Represent. 35: 132-145 (2016) - [j38]Soo-Jin Kim, Chan-Byoung Chae, Jong-Seok Lee:
Subjective and objective quality assessment of videos in error-prone network environments. Multim. Tools Appl. 75(12): 6849-6870 (2016) - [j37]Eleni Kroupi, Philippe Hanhart, Jong-Seok Lee, Martin Rerábek, Touradj Ebrahimi:
Modeling immersive media experiences by sensing impact on subjects. Multim. Tools Appl. 75(20): 12409-12429 (2016) - [j36]Soobeom Jang, Jong-Seok Lee:
On Evaluating Perceptual Quality of Online User-Generated Videos. IEEE Trans. Multim. 18(9): 1808-1818 (2016) - [c52]Jun-Hyuk Kim, Jong-Seok Lee:
Travel photo album summarization based on aesthetic quality, interestingness, and memorableness. APSIPA 2016: 1-5 - [c51]Heeryon Cho, Jong-Seok Lee:
Data-driven feature word selection for clustering online news comments. BigComp 2016: 494-497 - [c50]Jihyun Ha, Jong-Seok Lee:
A New Under-Sampling Method Using Genetic Algorithm for Imbalanced Data Classification. IMCOM 2016: 95:1-95:6 - [c49]Jaesub Yun</