Improving generalization capability of neural networks based on simulated annealing. - Yeejin Lee; Jong-Seok Lee; Sun-Young Lee; Cheol Hoon Park (IEEE Congress on Evolutionary Computation, 2007)

Frame rate up conversion of 3D video by motion and depth fusion. - Yeejin Lee; Zucheul Lee; Truong Q. Nguyen (IVMSP, 2013)

Stereo image defogging. - Yeejin Lee; Kristofor B. Gibson; Zucheul Lee; Truong Q. Nguyen (ICIP, 2014)

Depth-Assisted Frame Rate Up-Conversion for Stereoscopic Video. - Xiaohui Yang; Ju Liu; Jiande Sun 001; Yeejin Lee; Truong Q. Nguyen (IEEE Signal Process. Lett., 2014)

Efficient Hand Articulations Tracking Using Adaptive Hand Model and Depth Map. - Byeongkeun Kang; Yeejin Lee; Truong Q. Nguyen (ISVC (1), 2015)

Nighttime image enhancement applying dark channel prior to raw data from camera. - Yan Gong; Yeejin Lee; Truong Q. Nguyen (ISOCC, 2016)

Dehazing in color filter array domain. - Yeejin Lee; Truong Q. Nguyen; Changyoung Han (ISOCC, 2016)

Lossless compression of CFA sampled image using decorrelated Mallat wavelet packet decomposition. - Yeejin Lee; Keigo Hirakawa; Truong Q. Nguyen (ICIP, 2017)

Joint Defogging and Demosaicking. - Yeejin Lee; Keigo Hirakawa; Truong Q. Nguyen (IEEE Trans. Image Process., 2017)

Analysis of Raw Sensor Data with Applications in Image Processing and Compression. - Yeejin Lee (2017)

Camera-Aware Multi-Resolution Analysis for Raw Image Sensor Data Compression. - Yeejin Lee; Keigo Hirakawa; Truong Q. Nguyen (IEEE Trans. Image Process., 2018)

Depth-Adaptive Deep Neural Network for Semantic Segmentation. - Byeongkeun Kang; Yeejin Lee; Truong Q. Nguyen (IEEE Trans. Multim., 2018)

Automatic Prostate Zonal Segmentation Using Fully Convolutional Network With Feature Pyramid Attention. - Yongkai Liu; Kyung Hyun Sung; Guang Yang 006; Sohrab Afshari Mirak; Melina Hosseiny; Afshin Azadikhah; Xinran Zhong; Robert E. Reiter; Yeejin Lee; Steven S. Raman (IEEE Access, 2019)

High-Resolution Neural Network for Driver Visual Attention Prediction. - Byeongkeun Kang; Yeejin Lee (Sensors, 2020)

Shift-And-Decorrelate Lifting: CAMRA for Lossless Intra Frame CFA Video Compression. - Yeejin Lee; Keigo Hirakawa (IEEE Signal Process. Lett., 2020)

Segmentation-Based Seam Cutting for High-Resolution 360-Degree Video Stitching. - Taeha Kim; Seongyeop Yang; Byeongkeun Kang; Heekyung Lee; Jeongil Seo; Yeejin Lee (IEEE Access, 2021)

A Driver's Visual Attention Prediction Using Optical Flow. - Byeongkeun Kang; Yeejin Lee (Sensors, 2021)

Dense depth estimation from multiple 360-degree images using virtual depth. - Seongyeop Yang; Kunhee Kim; Yeejin Lee (Appl. Intell., 2022)

Modeling, Quantifying, and Predicting Subjectivity of Image Aesthetics. - Hyeongnam Jang; Yeejin Lee; Jong-Seok Lee (CoRR, 2022)

Image-to-Image Translation-Based Data Augmentation for Robust EV Charging Inlet Detection. - Yeonjun Bang; Yeejin Lee; Byeongkeun Kang (IEEE Robotics Autom. Lett., 2022)

Lossless White Balance for Improved Lossless CFA Image and Video Compression. - Yeejin Lee; Keigo Hirakawa (IEEE Trans. Image Process., 2022)

Sampling Agnostic Feature Representation for Long-Term Person Re-Identification. - Seongyeop Yang; Byeongkeun Kang; Yeejin Lee (IEEE Trans. Image Process., 2022)

FDCNet: Feature Drift Compensation Network for Class-Incremental Weakly Supervised Object Localization. - Sejin Park 002; Taehyung Lee 003; Yeejin Lee; Byeongkeun Kang (ACM Multimedia, 2023)

Probabilistic Modeling of Image Aesthetic Assessment Toward Measuring Subjectivity. - Hyeongnam Jang; Yeejin Lee; Jong-Seok Lee (IEEE Access, 2023)

MSTA3D: Multi-scale Twin-attention for 3D Instance Segmentation. - Duc Dang Trung Tran; Byeongkeun Kang; Yeejin Lee (ACM Multimedia, 2024)

Improving weakly-supervised object localization using adversarial erasing and pseudo label. - Byeongkeun Kang; Sinhae Cha; Yeejin Lee (Eng. Appl. Artif. Intell., 2024)

Enhancing long-term person re-identification using global, local body part, and head streams. - Duy Tran Thanh; Yeejin Lee; Byeongkeun Kang (Neurocomputing, 2024)

Generalized Class Discovery in Instance Segmentation. - Cuong Manh Hoang; Yeejin Lee; Byeongkeun Kang (AAAI, 2025)

Generalized Zero-Shot Learning for Point Cloud Segmentation with Evidence-Based Dynamic Calibration. - Hyeonseok Kim; Byeongkeun Kang; Yeejin Lee (AAAI, 2025)

SP2Mask4D: Efficient 4D Panoptic Segmentation Using Superpoint Transformers. - Yongseok Park; Duc Dang Trung Tran; Minho Kim; Hyeonseok Kim; Yeejin Lee (ICEIC, 2025)

Unsupervised contrastive learning using out-of-distribution data for long-tailed dataset. - Cuong Manh Hoang; Yeejin Lee; Byeongkeun Kang (Neurocomputing, 2025)

Content-aware preserving image generation. - Giang H. Le; Anh Q. Nguyen; Byeongkeun Kang; Yeejin Lee (Neurocomputing, 2025)