Yeejin Lee

Orcid: 0000-0002-3439-5042

According to our database1, Yeejin Lee authored at least 28 papers between 2007 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Content-aware preserving image generation.
Neurocomputing, 2025

2024
Enhancing long-term person re-identification using global, local body part, and head streams.
Neurocomputing, 2024

Improving weakly-supervised object localization using adversarial erasing and pseudo label.
Eng. Appl. Artif. Intell., 2024

MSTA3D: Multi-scale Twin-attention for 3D Instance Segmentation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023
Probabilistic Modeling of Image Aesthetic Assessment Toward Measuring Subjectivity.
IEEE Access, 2023

FDCNet: Feature Drift Compensation Network for Class-Incremental Weakly Supervised Object Localization.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022
Sampling Agnostic Feature Representation for Long-Term Person Re-Identification.
IEEE Trans. Image Process., 2022

Lossless White Balance for Improved Lossless CFA Image and Video Compression.
IEEE Trans. Image Process., 2022

Image-to-Image Translation-Based Data Augmentation for Robust EV Charging Inlet Detection.
IEEE Robotics Autom. Lett., 2022

Modeling, Quantifying, and Predicting Subjectivity of Image Aesthetics.
CoRR, 2022

Dense depth estimation from multiple 360-degree images using virtual depth.
Appl. Intell., 2022

2021
A Driver's Visual Attention Prediction Using Optical Flow.
Sensors, 2021

Segmentation-Based Seam Cutting for High-Resolution 360-Degree Video Stitching.
IEEE Access, 2021

2020
Shift-And-Decorrelate Lifting: CAMRA for Lossless Intra Frame CFA Video Compression.
IEEE Signal Process. Lett., 2020

High-Resolution Neural Network for Driver Visual Attention Prediction.
Sensors, 2020

2019
Automatic Prostate Zonal Segmentation Using Fully Convolutional Network With Feature Pyramid Attention.
IEEE Access, 2019

2018
Depth-Adaptive Deep Neural Network for Semantic Segmentation.
IEEE Trans. Multim., 2018

Camera-Aware Multi-Resolution Analysis for Raw Image Sensor Data Compression.
IEEE Trans. Image Process., 2018

2017
Analysis of Raw Sensor Data with Applications in Image Processing and Compression.
PhD thesis, 2017

Joint Defogging and Demosaicking.
IEEE Trans. Image Process., 2017

Lossless compression of CFA sampled image using decorrelated Mallat wavelet packet decomposition.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
Dehazing in color filter array domain.
Proceedings of the International SoC Design Conference, 2016

Nighttime image enhancement applying dark channel prior to raw data from camera.
Proceedings of the International SoC Design Conference, 2016

2015
Efficient Hand Articulations Tracking Using Adaptive Hand Model and Depth Map.
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

2014
Depth-Assisted Frame Rate Up-Conversion for Stereoscopic Video.
IEEE Signal Process. Lett., 2014

Stereo image defogging.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
Frame rate up conversion of 3D video by motion and depth fusion.
Proceedings of the 11th IVMSP Workshop: 3D Image/Video Technologies and Applications, 2013

2007
Improving generalization capability of neural networks based on simulated annealing.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007


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