Optimum Sensing Technique and Approach for Low Power Consumption Network. - Hamid Jabbar; Taewan Kim; Jin-Suk Kang; Jangho Lee 002; Hyosik Yang; Mee Young Sung; Gyung-Leen Park; Taikyeong Jeong (SERA, 2007)

Mining internet media for monitoring changes of public emotions about infectious diseases. - Sungwoon Choi; Jangho Lee 002; Sangheon Pack; Yoon-Seok Chang; Sungroh Yoon (ICDE Workshops, 2016)

LSTM-Based System-Call Language Modeling and Robust Ensemble Method for Designing Host-Based Intrusion Detection Systems. - Gyuwan Kim; Hayoon Yi; Jangho Lee 002; Yunheung Paek; Sungroh Yoon (CoRR, 2016)

Training IBM Watson Using Automatically Generated Question-Answer Pairs. - Jangho Lee 002; Gyuwan Kim; Jaeyoon Yoo; Changwoo Jung; Minseok Kim; Sungroh Yoon (HICSS, 2017)

Extended Abstract: Mimicry Resilient Program Behavior Modeling with LSTM based Branch Models. - Hayoon Yi; Gyuwan Kim; Jangho Lee 002; Sunwoo Ahn; Younghan Lee; Sungroh Yoon; Yunheung Paek (CoRR, 2018)

MSnet: Mutual Suppression Network for Disentangled Video Representations. - Jungbeom Lee; Jangho Lee 002; Sungmin Lee 001; Sungroh Yoon (CoRR, 2018)

Robust Tumor Localization with Pyramid Grad-CAM. - Sungmin Lee 001; Jangho Lee 002; Jungbeom Lee; Chul-Kee Park; Sungroh Yoon (CoRR, 2018)

Mutual Suppression Network for Video Prediction using Disentangled Features. - Jungbeom Lee; Jangho Lee 002; Sungmin Lee 001; Sungroh Yoon (BMVC, 2019)

FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference. - Jungbeom Lee; Eunji Kim 002; Sungmin Lee 001; Jangho Lee 002; Sungroh Yoon (CVPR, 2019)

Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation. - Jungbeom Lee; Eunji Kim 002; Sungmin Lee 001; Jangho Lee 002; Sungroh Yoon (ICCV, 2019)

Momentum Contrast Speaker Representation Learning. - Jangho Lee 002; Jaihyun Koh; Sungroh Yoon (CoRR, 2020)

Personalized Face Authentication Based On Few-Shot Meta-Learning. - Chaehun Shin; Jangho Lee 002; Byunggook Na; Sungroh Yoon (ICIP, 2021)

Single-image deblurring with neural networks: A comparative survey. - Jaihyun Koh; Jangho Lee 002; Sungroh Yoon (Comput. Vis. Image Underst., 2021)

BNUDC: A Two-Branched Deep Neural Network for Restoring Images from Under-Display Cameras. - Jaihyun Koh; Jangho Lee 002; Sungroh Yoon (CVPR, 2022)

Brain-inspired Predictive Coding Improves the Performance of Machine Challenging Tasks. - Jangho Lee 002; Jeonghee Jo; Byounghwa Lee; Jung-Hoon Lee; Sungroh Yoon (Frontiers Comput. Neurosci., 2022)

MG-MLP: Multi-gated MLP for Restoring Images from Spatially Variant Degradations. - Jaihyun Koh; Jaihyun Lew; Jangho Lee 002; Sungroh Yoon (BMVC, 2023)

Toward a Balanced Feature Space for the Deep Imbalanced Regression. - Jangho Lee 002 (IEEE Access, 2023)

On the Impact of Resolution in Fashion Attribute-based Re- identification. - Soo Min Chae; Seoyoung Yu; Jinpyung Kim; Jangho Lee 002 (BigComp, 2024)

A Pilot Study on Intelligent Surveillance System based on Fashionpedia Dataset. - Changgeun Park; Jinpyung Kim; Jinseok Chae; Jangho Lee 002 (BigComp, 2024)

TinyCount: an efficient crowd counting network for intelligent surveillance. - Hyeonbeen Lee; Jangho Lee 002 (J. Real Time Image Process., 2024)