Publications
* : corresponding author
+ : equally contributed as co-first authors
IF: impact factor
2023
Selected Publications
Muhammad Salman Ali, Yeongwoong Kim, Sung-Chang Lim, Donghyun Kim, Chaoning Zhang, Maryam Qamar, Hui Yong Kim*, Sung-Ho Bae*
Towards Efficient Image Compression Without Autoregressive Models,
Advances in Neural Information Processing Systems (NeurIPS) 2023,
(AI Top-conference)
Vo Hieu, Sung-Ho Bae, Lokwon Kim and Choong Seon Hong*,
MST-compression: Compressing and Accelerating Binary Neural Networks with Minimum Spanning Tree,
International Conference on Computer Vision (ICCV) 2023,
(AI Top-conference)
Awais Muhammad, Fahad Shamshad, and Sung-Ho Bae*,
Adversarial Attacks and Batch Normalization: A Batch Statistics Perspective,
IEEE Access, vol. 10, pp. 1-1, Mar. 2023.
(IF=3.48) [pdf]
2022
Selected Publications
Qishi Dong+, Muhammad Awais+, Fengwei Zhou+, Chuanlong Xie, Tianyang Hu, Yongxin Yang, Sung-Ho Bae, Zhenguo Li*
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization,
Advances in Neural Information Processing Systems (NeurIPS) 2022,
(AI Top-conference)
Younho Jang+, Wheemyung Shin+, Joonbeom Kim, Simon Woo* and Sung-Ho Bae*,
GLAMD: Global and Local Attention Mask Distillation for Object Detectors,
European Conference on Computer Vision (ECCV) 2022,
(AI Top-conference) [pdf]
Md Tauhid Bin Iqbal, Byungyong Ryu, Ad ́ın Ram ́ırez Rivera, Farkhod Makhmudkhujaev, Oksam Chae, and Sung-Ho Bae*,
Facial Expression Recognition with Active Local Shape Pattern and Learned-Size Block Representations,
IEEE Transactions on Affective Computing, vol. 13, no. 3, pp. 1322-1336, Sept. 2022.
(IF=7.17) [pdf]
Muhammad Awais and Sung-Ho Bae*
A Survey on Efficient Methods for Adversarial Robustness,
IEEE Access, vol. 10, pp. 118815-118830, Oct. 2022.
(IF=3.48) [pdf]
Md. Tauhid Bin Iqbal, Abdun Muqeet, and Sung-Ho Bae*,
Visual Interpretation of CNN prediction through Layerwise Sequential Selection of Discernible Neurons,
IEEE Access, vol. 10, pp. 81988-82002, July. 2022.
(IF=3.48) [pdf]
Joonhyun Jeong, Incheon Cho, Eunseop Shin, and Sung-Ho Bae*,
A New Pointwise Convolution in Deep Neural Networks through Extremely Fast and Non Parametric Transforms,
IEEE Access, vol. 10, pp. 88251-88262, Aug. 2022.
(IF=3.48) [pdf]
Joonki Bae+, Subin Yang+, and Sung-Ho Bae*,
DenSE SwinHDR: SDRTV to HDRTV Conversion using Densely Connected Swin Transformer with Squeeze and Excitation Module,
IEEE Access, vol. 10, pp. 133969-133980, Dec. 2022.
(IF=3.48) [pdf]
2021
Selected Publications
Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Jiawei Li, Zhenguo Li, Sung-Ho Bae*,
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps,
Advances in Neural Information Processing Systems (NeurIPS) 2021,
(AI Top-conference) [pdf]
Youmin Kim, Jinbae Park, YounHo Jang, Muhammad Salman Ali, Tae-Hyun Oh and Sung-Ho Bae*,
Distilling Global and Local Logits with Densely Connected Relations,
International Conference on Computer Vision (ICCV) 2021,
(AI Top-conference) [pdf]
Muhammad Awais, Fengwei Zhou, Hang Xu, Lanqing Hong, Ping Luo, Zhenguo Li, Sung-Ho Bae*
Adversarial Robustness for Unsupervised Domain Adaptation,
International Conference on Computer Vision (ICCV) 2021,
(AI Top-conference) [pdf]
A. F. M. Shahab Uddin, Mst. Sirazam Monira, Wheemyung Shin, TaeChoong Chung*, and Sung-Ho Bae*,
SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization,
International Conference on Learning Representations (ICLR) 2021,
(AI Top-conference) [pdf]
Muhammad Awais, Md Tauhid Iqbal, and Sung-Ho Bae*,
Revisiting Internal Covariant Shift for Batch Normalization,
IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 11, Nov. 2021.
(AI Top-journal) (IF=10.45) [pdf]
Linh-Tam Tran, Muhammad Salman Ali, and Sung-Ho Bae*,
A Feature Fusion based Indicator for Training-free Neural Architecture Search,
IEEE Access, vol. 9, pp. 133914-133923, Sept. 2021.
(IF=3.38) [pdf]
Kang-Ho Lee and Sung-Ho Bae*,
Compressing Neural Networks with Inter Prediction and Linear Transformation,
IEEE Access, vol. 9, pp. 69601-69608, Mar. 2021.
(IF=3.75) [pdf]
Jiwon Hwang, A. F. M. Shahab Uddin, and Sung-Ho Bae*,
A Layer-wise Extreme Network Compression for Super Resolution,
IEEE Access, vol. 9, pp. 93998-94009, June 2021.
(IF=3.75) [pdf]
Youmin Kim, A. F. M. Shahab Uddin and Sung-Ho Bae*,
Local Augment: Utilizing Local Bias Property of Convolutional Neural Networks for Data Augmentation,
IEEE Access, vol. 9, pp. 15191-15199, Jan. 2021.
(IF=3.75) [pdf]
Incheon Cho, Muhammad Salman Ali, and Sung-Ho Bae*,
Dynamic Structured Pruning with Novel Filter Importance and Leaky Masking based on Convolution and Batch Normalization Parameters,
IEEE Access, vol. 9, pp. 165005 - 165013, 30th, Nov. 2021.
(IF=3.38) [pdf]
Teerath Kumar, Jinbae Park, Muhammad Salman Ali, A F M Shahab Uddin, Jong Hwan Ko*, Sung-Ho Bae*,
Binary-Classifiers-Enabled Filters for Semi-Supervised Learning,
IEEE Access, , vol. 9, pp. 167663 - 167673, Nov. 2021.
(IF=3.38) [pdf]
Young Jae Shin, Wheemyung Shin, Takashi Taniguchi, Kenji Watanabe, Philip Kim, and Sung-Ho Bae*,
Fast and Accurate Robotic Optical Detection of Exfoliated Graphene and Hexagonal Boron Nitride by Deep Neural Networks,
2D Materials, vol. 8, no. 3, pp.-, Apr. 2021.
(IF=7.14) [pdf]
2020
Selected Publications
Sung-Ho Bae, Jae-Hyeong Bae, Abdul Muqeet, Mst Sirazam Monira, Lok-Won Kim*,
Cost-Efficient Super-Resolution Hardware using Local Binary Pattern Classification and Linear Mapping for Real-Time 4K Conversion,
IEEE Access, vol. 8, pp. 224383-224393, Nov. 2020.
(IF=3.75) [pdf]
Muhammad Salman Ali, Md Tauhid Bin Iqbal, Kang-Ho Lee, Abdul Muqeet, Seunghyun Lee, Lokwon Kim, Sung-Ho Bae*,
ERDNN: Error-Resilient Deep Neural Networks with a New Error Correction Layer and Piece-wise Rectified Linear Unit,
IEEE Access, vol. 8, pp. 158702-158711, Sept. 2020.
(IF=3.75) [pdf]
Cam-Hao Hua,Thien Huynh-The, Sungyong Lee*, Sung-Ho Bae*,
Cross-Attentional Bracket-shaped Convolutional Network for Semantic Image Segmentation,
Information Sciences, vol. 539, pp. 277-294, June 2020.
(IF=6.77) [pdf]
Gyungin Shin, Eunsu Park, Hyunjin Jeong, Harim Lee, and Sung-Ho Bae, Yong-Jae Moon*,
Generation of High-resolution Solar Pseudo-magnetograms from Ca II K Images by Deep Learning,
Astrophysical Journal Letters, vol. 895, no. 1, pp. 1-7, May 2020.
(IF=7.70) [pdf]
Cam-Hao Hua, Kiyoung Kim, Thien Huynh-The, Jong In You, Seung-Young Yu, Thuong Le-Tien, Sung-Ho Bae*, and Sungyoung Lee*,
Convolutional Network with Twofold Feature Augmentation for Diabetic Retinopathy Recognition from Multi-modal Images,
IEEE Journal of Biomedical and Health Informatics, vol. 0, no. 0, pp. 2168-2194, Dec. 2020.
(IF=5.22) [pdf]
SCI(E) Journals
Sung-Ho Bae and Seong-Bae Park*, "A Very Fast and Accurate Image Quality Assessment Method based on Mean Squared Error with Difference of Gaussians," Journal of Image Science and Technology, vol. 64, no. 1, pp. 10502-1-10502-5, Jan. 2020. (IF=0.46)
International Conferences
Kai Zhang,..., Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Yongwoo Kim, Sung-Ho Bae, et al. "AIM 2020 challenge on efficient super-resolution: Methods and results," European Conference on Computer Vision Workshops 2020 (ECCVW 2020), 23-28 Aug. 2020, Online.
Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Yongwoo Kim, Sung-Ho Bae*, "Ultra Lightweight Image Super-Resolution with Multi-Attention Layers," European Conference on Computer Vision Workshops 2020 (ECCVW 2020), 23-28 Aug. 2020, Online.
Abdul Muqeet and Sung-Ho Bae*, "Effective Utilization of Hybrid Residual Modules," 26th International Conference on MultiMedia Modeling (MMM 2020), pp. 745-750, 5- 8 Jan. 2020, Daejeon, Korea.
2019
Selected Publications
Taeyoung Kim+, Eunsu Park+, Harim Lee, Sung-Ho Bae, Daye Lim, Soojeong Jang, Lokwon Kim, Il-Hyun Cho, Myungjin Choi, and Kyung-Suk Cho,Yong-Jae Moon*, (+: equal contributions)
Generation of Solar Farside Magnetograms by Applying Deep Learning to STEREO/EUVI Data,
Nature Astronomy, vol. 3, pp. 372-400, Mar. 2019.
(IF=11.52) [pdf]
A.F.M. Shahab Uddin, Tae-Choong Chung, Sung-Ho Bae*,
A Perceptually Inspired New Blind Image Denoising Method Using L1 and Perceptual Loss,
IEEE Access, vol. 7, pp. 90538-90549, July 2019.
(IF=3.75) [pdf]
Abdul Muqeet, Md Tauhid Bin Iqbal, Sung-Ho Bae*,
Hybrid Residual Attention Network for Single Image Super Resolution,
IEEE Access, vol. 7, pp. 137020-137029, Sept. 2019.
(IF=3.75) [pdf]
Cam-Hao Hua, Sungyoung Lee*, Kiyoung Kim, Gwang Hoon Park, Seung-Young Yu, Jaehun Bang, Thuong Le-Tien, Wajahat Ali Khan, Thien Huynh-The, Sung-Ho Bae*,
Bimodal Learning via Trilogy of Skip-connection Deep Networks for Diabetic Retinopathy Risk Progression Identification,
International Journal of Medical Informatics, vol. 132, Dec. 2019.
(IF=3.59) [pdf]
SCI(E) Journals
Sung-Ho Bae, Uddin A F M Shahab, Youmin Kim, Kang-Ho Lee, and Jiyoung Jung*, "A Novel Weight Pooling Method for Objective Image Quality Assessment with the Luminance Adaptation Effect in the Pixel Intensity Domain," Journal of Image Science and Technology, vol. 63, no. 5, pp. 50502-1-50502-8, Sept. 2019. (IF=0.46)
2018
Selected Publications
Sehwan Ki, Sung-Ho Bae, Munchurl Kim* and Hyunsuk Ko,
Learning-based Just-Noticeable-Quantization-Distortion Modeling for Perceptual Video Coding,
IEEE Transactions on Image Processing, vol. 27, no. 7, pp. 3179-3193, July 2018.
(IF=9.34) [pdf]
SCI(E) Journals
A. F. M. Shahab Uddin, Tae-Choong Chung and Sung-Ho Bae*, "Visual Saliency based Structural Contrast Quality Index," Electronics Letters, vol. 55, no. 4, pp. 194-196, Feb. 2019. (IF=1.32)
Jiyoung Jung and Sung-Ho Bae*, Real-Time Road Lane Detection in Urban Areas Using LiDAR Data," Electronics, vol. 7, no. 11, 26th Oct., 2018. (IF=2.41)
Byungyong Ryu and Sung-Ho Bae*, "Display In the Wild (DIW): An Adaptive Projection-Imaging System to Screen Geometry in Real Time," Sensors, vol. 18, no. 9, Sept., 2018. (IF=3.28)
International Conferences
Taeyoung Kim, Eunsu Park, Harim Lee, Yong-Jae Moon*, Daye Lim, Soojeong Jang, Sung-Ho Bae, Lokwon Kim, Il-Hyun Jo, Myungjin Choi, "AI-Generated Magnetograms of the Sun," Asia Oceania Geosciences Society 15th Annual Meeting, Jun. 2018.
2013 - 2017
Selected Publications
Sung-Ho Bae and Munchurl Kim*,
DCT-QM: A DCT-based Quality Degradation Metric for Image Quality Optimization Problems,
IEEE Transactions on Image Processing, vol. 25, no. 10, pp. 4916-4930, May 2017.
(2016 Qualcomm Innovation Award) (IF=9.34) [pdf]
Sung-Ho Bae and Munchurl Kim*,
A Novel Image Quality Assessment with Globally and Locally Consilient Visual Quality Perception,
IEEE Transactions on Image Processing, vol. 25, no. 5, pp. 2392-2406, May 2016.
(2015 Samsung Electro-Mechanics Paper Award) (IF=9.34) [pdf]
Sung-Ho Bae and Munchurl Kim*,
HEVC-based Perceptually Adaptive Video Coding using a DCT-based Local Distortion Detection Probability Model,
IEEE Transactions on Image Processing, vol. 25, no. 7, pp. 3343-3357, May 2016.
(2015 Qualcomm Innovation Award) (IF=9.34) [pdf]
Sung-Ho Bae and Munchurl Kim*,
A DCT-based Total JND Profile for Spatio-Temporal and Foveated Masking Effects,
IEEE Transactions on Circuits and Systems for Video Technology, vol. 27, no. 6, pp. 1196-1207, Mar. 2016.
(IF=4.13) [pdf]
Jaeil Kim, Sung-Ho Bae, and Munchurl Kim*,
An HEVC-Compliant Perceptual Video Coding Scheme based on JND Models for Variable Block-sized Transform Kernels,
IEEE Transactions on Circuits and Systems for Video Technology, vol. 25, no. 11, pp. 1786-1800, Sept. 2015.
(Best Encoder Optimization for HEVC Award in Grand Video Compression Challenge of PCS 2013)
(IF=4.13) [pdf]
Sung-Ho Bae and Munchurl Kim*,
A Novel Generalized DCT-based JND Profile Based on an Elaborate CM-JND Model for Variable Block-Sized Transforms in Monochrome Images,
IEEE Transactions on Image Processing, vol. 23, no. 8, Aug. 2014.
(2013 Qualcomm Innovation Award) (IF=9.34) [pdf]
Sung-Ho Bae and Munchurl Kim*,
A Novel DCT-based JND Model for Luminance Adaptation Effect in DCT Frequency,
IEEE Signal Processing Letters, vol. 20, no. 9, pp. 893-896, Sept. 2013.
(IF=4.18) [pdf]
Sung-Ho Bae, Jaeil Kim, Sukhee Cho, and Jin Soo Choi, Munchurl Kim*,
Assessments of Subjective Video Quality on HEVC-encoded 4K-UHD Video for Beyond-HDTV Broadcasting Services,
IEEE Transactions on Broadcasting, vol. 59, no. 2, pp. 209 - 222, June 2013.
(IF=4.68) [pdf]
International Conferences
Sung-Ho Bae, Mohamed A. Elgharib, and Wojciech Matusik*, "Efficient and Scalable View Generation from a Single Image using Fully Convolutional Networks," ArXiv, 2017.
Gwang-Young Youm, Sung-Ho Bae, and Munchurl Kim*, "Image Super-Resolution Based on Convolutional Neural Networks using Multi-Channel Input," 12th IEEE Image Video and Multidimensional Signal Processing Workshop (IVMSPW 2016), Bordeaux, France, 11-12 July, 2016.
Sung-Ho Bae and Munchurl Kim*, "A Novel SSIM Index for Image Quality Assessment using a New Luminance Adaptation Effect Model in Pixel Intensity Domain," IEEE International Conference on Video Communications and Image Processing (VCIP 2015), Singapore, Dec. 2015.
Sung-Ho Bae and Munchurl Kim*, "A Novel Image Quality Assessment based on an Adaptive Feature for Image Characteristics and Distortion Types," IEEE International Conference on Video Communications and Image Processing (VCIP 2015), Singapore, Dec. 2015. (Oral Presentation)
Jae-Seok Choi, Sung-Ho Bae, and Munchurl Kim*, "Single Image Super-Resolution based on Self-Examples using Context-Dependent Subpatches," IEEE International Conference on Image Processing (ICIP 2015), Quebec, Canada, Sept. 27 - 30, 2015. (Oral Presentation)
Jae-Seok Choi, Sung-Ho Bae and Munchurl Kim*, "A No-Reference Perceptual Blurriness Metric based Fast Super-Resolution of Still Pictures using Sparse Representation," Conf. on Computational Imaging XIII, part of IST/SPIE Electronic Imaging (SPIE&EI 2015), San Francisco, USA, Feb. 8-12, 2015.
Sung-Ho Bae and Munchurl Kim*, "Object Tracking based on Online Partial Instance Learning with Multiple Local Strong Classifiers," IEEE International Conference on Image Processing (ICIP 2014), Paris, France, Oct. 27 - 30, 2014.
Sung-Ho Bae and Munchurl Kim*, "A New DCT-based JND Model of Monochrome Images for Contrast Masking Effects with Texture Complexity and Frequency," IEEE International Conference on Image Processing (ICIP 2013), Melborne, Australia, Sept. 15-18, 2013.