Youngbae Hwang (ybhwang@cbnu.ac.kr, unimono@gmail.com)
Associate Professor, Ph. D.
Robot Vision Lab., Dept. of Electronics Engineering
College of Electrical and Computer Engineering (ECE)
Chungbuk National University (CBNU)
Embedded Files
Education
Education
2009.02: Ph.D. in Robotics and Computer Vision Lab. , Dept. of Electrical Engineering, KAIST
2003.02: M.S. in Robotics and Computer Vision Lab. , Dept. of Electrical Engineering, KAIST
2001.02: B.S., Dept. of Electrical Engineering, KAIST
Research interests
Research interests
Sensor Noise Modeling
Low-level Image Processing
Deep Learning based Object Dtection/Classification
Medical Image Processing
Autonomous Vehicles/Robots/Drone
Tomato pose estimation using the association of tomato body and sepal
Minho Jang and Youngbae Hwang
in Computers and Electronics in Agriculture, 2024. [pdf]
Decomformer: Decompose Self-Attention of Transformer for Efficient Image Restoration
Eunho Lee and Youngbae Hwang
in IEEE Access, 2024. [pdf]
Lossless Reconstruction of Convolutional Neural Network for Channel-Based Network Pruning
Donghyeon Lee, Eunho Lee and Youngbae Hwang
in Sensors, 2023. [pdf]
Infrared and visible image fusion using a guiding network to leverage perceptual similarity
Jun-Hyung Kim and Youngbae Hwang
in Computer Vision and Image Understanding, 2023. [pdf]
Multi-subject image retrieval by fusing object and scene level feature embeddings
Chung-Gi Ban and Youngbae Hwang, et al.
in Applied Science, 2022. [pdf]
Reduced Detection Rate of Artificial Intelligence in Images Obtained from Untrained Endoscope Models and Improvement Using Domain Adaptation Algorithm
Junseok Park and Youngbae Hwang, et al.
in Frontiers in Medicine, 2022. [pdf]
GAN-Based Synthetic Data Augmentation for Infrared Small Target Detection
Jun-Hyung Kim and Youngbae Hwang
in IEEE trans. on Geoscience and Remote Sensing, 2022. [pdf]
Patch-Wise Infrared and Visible Image Fusion Using Spatial Adaptive Weights
Patch-Wise Infrared and Visible Image Fusion Using Spatial Adaptive Weights
Syeda Minahil, Jun-Hyung Kim, Youngbae Hwang
in Applied Science, 2021. [pdf]
A Current and Newly Proposed Artificial Intelligence Algorithm for Reading Small Bowel Capsule Endoscopy
Dong Jun Oh, Youngbae Hwang, Yun Jeong Lim
in Diagnostics, 2021. [pdf]
A Survey on Deep Learning based Methods and Datasets for Monocular 3D Object Detection
Seong-Heum Kim and Youngbae Hwang
in Electronics, 2021. [pdf]
Development of a deep learning-based software for calculating cleansing score in small bowel capsule endoscopy
Ji Hyung Nam*, Youngbae Hwang*, Dong Jun Oh, Junseok Park, Ki Bae Kim, Min Kyu Jung and Yun Jeong Lim
in Scientific Reports, 2021. [pdf]
Layer-Wise Network Compression Using Gaussian Mixture Model
Eunho Lee and Youngbae Hwang
in Electronics, 2021. [pdf]
Artificial intelligence that determines the clinical significance of capsule endoscopy images can increase the efficiency of reading
Junseok Park* , Youngbae Hwang *, Ji Hyung Nam, Dong Jun Oh, Ki Bae Kim, Hyun Joo Song, Su Hwan Kim, Sun Hyung Kang, Min Kyu Jung, Yun Jeong Lim
in Plos One, 2020. [pdf]
Iterative K-Closest Point Algorithms for Colored Point Cloud Registration
Ouk Choi, Min-Gyu Park, Youngbae Hwang
in Sensors, 2020. [pdf]
Noise-Aware and Light-Weight VLSI Design of Bilateral Filter for Robust and Fast Image Denoising in Mobile Systems
Sung-Joon Jang and Youngbae Hwang
in Sensors, 2020. [pdf]
3D reconstruction of small bowel lesions using stereo camera-based capsule endoscopy
Seung-Joo Nam, Yun Jeong Lim, Ji Hyung Nam, Hyun Seok Lee, Youngbae Hwang, Junseok Park, Hoon Jai Chun
in Scientific Reports, 2020. [pdf]
Category-specific Upright Orientation Estimation for 3D Model Classification and Retrieval
Seong-Heum Kim, Youngbae Hwang, In So Kweon
in Image and Vision Computing, 2020. [pdf]
Efficient deep learning of image denoising by local divide and deep conquer based on patch complexity
Inpyo Hong, Youngbae Hwang, Daeyoung Kim
in Pattern Recognition, 2019. [pdf]
Probabilistic Moving Least Squares with Spatial Constraints for Nonlinear Color Transfer Between Images
Youngbae Hwang, Joon-Young Lee, In So Kweon, Seon Joo Kim
in Computer Vision and Image Understanding (CVIU), 2019 [pdf][project page]
Application of Artificial Intelligence in Capsule Endoscopy: Where Are We Now?
Youngbae Hwang, Junseok Park, Yun Jeong Lim, Hoon Jai Chun
in Clinical Endoscopy, 2018 [pdf]
Robust Deep Multi-modal Learning Based on Gated Information Fusion Network
Jaekyum Kim, Junho Koh, Yecheol Kim, Jaehyung Choi, Youngbae Hwang, Jun Wok Choi
in Asian Conference on Computer Vision (ACCV), 2018 [pdf]
Stereo matching for Wireless Capsule Endoscopy using Direct Attenuation Model
Min-Gyu Park, Ju Hong Yoon, Youngbae Hwang
in Int. Work. on Patch-based Techniques in Medical Imaging (in Conjunction with MICCAI), 2018 [pdf]
Hierarchical palette extraction based on local distinctiveness and cluster validation for image recoloring
Ju-Mi Kang, Youngbae Hwang
in IEEE International Conference on Image Processing (ICIP), 2018 [pdf]
A Holistic Approach to Cross-Channel Image Noise Modeling and its Application to Image Denoising
Seonghyeon Nam*, Youngbae Hwang*, Yasuyuki Matsushita, Seon Joo Kim
in IEEE Computer Vision and Pattern Recognition (CVPR), 2016 [pdf][project page]
Detecting Temporally Consistent Objects in Videos through Object Class Label Propagation
Subarna Tripathi, Serge Belongie, Youngbae Hwang, Truong Nguyen
in IEEE Winter Conference on Applications of Computer Vision (WACV), 2016 [pdf]
Semi-Online Video Stabilization using Probabilistic Keyframe Update and Inter-Keyframe Motion Smoothing
Juhan Bae, Youngbae Hwang, Jongwoo Lim
in IEEE International Conference on Image Processing (ICIP), 2014 [pdf]
Improving Streaming Video Segmentation with Early and Mid-Level Visual Processing
Subarna Tripathi, Youngbae Hwang, Serge Belongie, Truong Nguyen
in IEEE Winter Conference on Applications on Computer Vision (WACV), 2014 [pdf]
A probabilistic derivative measure based on the distribution of intensity difference
Youngbae Hwang, In-So Kweon
in European Conference on Computer Vision (ECCV), 2012 [pdf]
Difference-based image noise modeling using Skellam distribution
Youngbae Hwang, Jun-Sik Kim and In-So Kweon,
IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 2012 [pdf]
Award
Award
Gold prize
Youngbae Hwang, "Sensor noise modeling using the Skellam distribution : Application to background subtraction and edge detection", in Samsung Humantech Award, 2007
Encouraging prize
Youngbae Hwang, "Noise removal using probabilistic priors of intensity-noise relationship", in Samsung Humantech Award, 2008
Activities
Activities
Guest Editor : Special Issue "Deep Learning based Object Detection" in MDPI Electronics journal, 2020
Program Chair : Summer Conference of Korean Institute of Next Generation Computing, 2020
Organizing Committee : Focused Track for Automotive Control @ ICCAS, 2020
Program Committee : Image Processing and Image Understanding (IPIU), 2019~2020
Organizer : Special session for Machine Vision & Application @ ICROS conference, 2014~2020
Reviewer : Medical Image Analysis, 2020
Reviewer : MDPI Sensors, 2019~2020
Reviewer : MDPI Applied Sciences, 2020
Reviewer : MDPI Journal of Imaging, 2020
Reviewer : MDPI Symmetry, 2020
Reviewer : IEEE Int. Conf. on Robotics and Automation (ICRA), 2013, 2016, 2020
Reviewer : Signal, Image and Video Processing (SIVP), 2019
Reviewer : Expert Systems with Applications (ESWA), 2019
Reviewer : IEEE Trans. on Intelligent Transportation Systems (T-ITS), 2018~2019
Reviewer : IEEE Trans. on Signal Processing Letters (SPL), 2019
Reviewer : Journal of Electrical Engineering & Technology (JEET), 2012~2019
Reviewer : Journal of Electronic Imaging (JEI), 2015, 2019
Reviewer : IEEE Trans. on Image Processing (TIP), 2018
Reviewer : IEEE Robotics and Automation Letters (RA-L), 2018
Reviewer : Multidimensional Systems and Signal Processing, 2018
Reviewer : IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 2016, 2018
Reviewer : Color Research and Application, 2017
Reviewer : Signal Processing: Image Communication, 2017
Reviewer : Int. Conf. on Control, Automation and Systems (ICCAS), 2014~2017
Reviewer : IEEE Trans. on Human-Machine Systems (THMS), 2016
Reviewer : IEEE Sensors Journal, 2014
Reviewer : Machine Vision and Applications (MVA), 2014
Reviewer : Optical Engineering, 2013
Last updated : 24th August, 2020
Page updated
Google Sites
Report abuse