Color Image Enhancement Based on Land's Color Constancy Algorithm. - Jeong-Yeop Kim; Sung-Ho Bae; Eung-Joo Lee; Yeong-Ho Ha (CIC, 1994)

Mobile 3D Game Contents Watermarking Based on Buyer-Seller Watermarking Protocol. - Seong Geun Kwon; Suk Hwan Lee; Ki-Ryong Kwon; Eung-Joo Lee; Soo-Yol Ok; Sung-Ho Bae (IEICE Trans. Inf. Syst., 2008)

A high stability DC-DC Boost Converter with Ripple Current Control and capacitor-free LDOs for AMOLED display. - Se-Won Wang; Young-Jin Woo; Sung-Ho Bae; Tae-Hwang Kong; Gyu-Ha Cho; Gyu-Hyeong Cho (A-SSCC, 2011)

A Novel DCT-Based JND Model for Luminance Adaptation Effect in DCT Frequency. - Sung-Ho Bae; Munchurl Kim (IEEE Signal Process. Lett., 2013)

Assessments of Subjective Video Quality on HEVC-Encoded 4K-UHD Video for Beyond-HDTV Broadcasting Services. - Sung-Ho Bae; Jae-il Kim; Munchurl Kim; Sukhee Cho; Jin Soo Choi (IEEE Trans. Broadcast., 2013)

Object tracking based on online partial instance learning with multiple local strong classifiers. - Sung-Ho Bae; Munchurl Kim (ICIP, 2014)

A Novel Generalized DCT-Based JND Profile Based on an Elaborate CM-JND Model for Variable Block-Sized Transforms in Monochrome Images. - Sung-Ho Bae; Munchurl Kim (IEEE Trans. Image Process., 2014)

A no-reference perceptual blurriness metric based fast super-resolution of still pictures using sparse representation. - Jae-Seok Choi; Sung-Ho Bae; Munchurl Kim (Computational Imaging, 2015)

Single image super-resolution based on self-examples using context-dependent subpatches. - Jae-Seok Choi; Sung-Ho Bae; Munchurl Kim (ICIP, 2015)

A novel image quality assessment based on an adaptive feature for image characteristics and distortion types. - Sung-Ho Bae; Munchurl Kim (VCIP, 2015)

A novel SSIM index for image quality assessment using a new luminance adaptation effect model in pixel intensity domain. - Sung-Ho Bae; Munchurl Kim (VCIP, 2015)

An HEVC-Compliant Perceptual Video Coding Scheme Based on JND Models for Variable Block-Sized Transform Kernels. - Jae-il Kim; Sung-Ho Bae; Munchurl Kim (IEEE Trans. Circuits Syst. Video Technol., 2015)

Image super-resolution based on convolution neural networks using multi-channel input. - Gwang-Young Youm; Sung-Ho Bae; Munchurl Kim (IVMSP, 2016)

A Novel Image Quality Assessment With Globally and Locally Consilient Visual Quality Perception. - Sung-Ho Bae; Munchurl Kim (IEEE Trans. Image Process., 2016)

DCT-QM: A DCT-Based Quality Degradation Metric for Image Quality Optimization Problems. - Sung-Ho Bae; Munchurl Kim (IEEE Trans. Image Process., 2016)

HEVC-Based Perceptually Adaptive Video Coding Using a DCT-Based Local Distortion Detection Probability Model. - Sung-Ho Bae; Jaeil Kim; Munchurl Kim (IEEE Trans. Image Process., 2016)

A DCT-Based Total JND Profile for Spatiotemporal and Foveated Masking Effects. - Sung-Ho Bae; Munchurl Kim (IEEE Trans. Circuits Syst. Video Technol., 2017)

Display in the Wild (DIW): An Adaptive Projection-Imaging System to Screen Geometry in Real Time. - Byungyong Ryu; Sung-Ho Bae (Sensors, 2018)

Learning-Based Just-Noticeable-Quantization- Distortion Modeling for Perceptual Video Coding. - Sehwan Ki; Sung-Ho Bae; Munchurl Kim; Hyunsuk Ko (IEEE Trans. Image Process., 2018)

HRAN: Hybrid Residual Attention Network for Single Image Super-Resolution. - Abdul Muqeet; Md. Tauhid Bin Iqbal; Sung-Ho Bae (IEEE Access, 2019)

A Perceptually Inspired New Blind Image Denoising Method Using L1 and Perceptual Loss. - A. F. M. Shahab Uddin; TaeChoong Chung; Sung-Ho Bae (IEEE Access, 2019)

New pointwise convolution in Deep Neural Networks through Extremely Fast and Non Parametric Transforms. - Joonhyun Jeong; Sung-Ho Bae (CoRR, 2019)

Hybrid Residual Attention Network for Single Image Super Resolution. - Abdul Muqeet; Md. Tauhid Bin Iqbal; Sung-Ho Bae (CoRR, 2019)

An Inter-Layer Weight Prediction and Quantization for Deep Neural Networks based on a Smoothly Varying Weight Hypothesis. - Kang-Ho Lee; Joonhyun Jeong; Sung-Ho Bae (CoRR, 2019)

Bimodal learning via trilogy of skip-connection deep networks for diabetic retinopathy risk progression identification. - Cam-Hao Hua; Thien Huynh-The; Kiyoung Kim; Seung-Young Yu; Thuong Le-Tien; Gwang Hoon Park; Jae Hun Bang; Wajahat Ali Khan; Sung-Ho Bae; Sungyoung Lee 001 (Int. J. Medical Informatics, 2019)

Multi-attention Based Ultra Lightweight Image Super-Resolution. - Abdul Muqeet; Jiwon Hwang; Subin Yang; Jung Heum Kang; Yongwoo Kim; Sung-Ho Bae (ECCV Workshops (3), 2020)

AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. - Kai Zhang 008; Martin Danelljan; Yawei Li 001; Radu Timofte; Jie Liu 040; Jie Tang 006; Gangshan Wu; Yu Zhu 004; Xiangyu He; Wenjie Xu; Chenghua Li; Cong Leng; et al. (ECCV Workshops (3), 2020)

Effective Utilization of Hybrid Residual Modules in Deep Neural Networks for Super Resolution. - Abdul Muqeet; Sung-Ho Bae (MMM (2), 2020)

ERDNN: Error-Resilient Deep Neural Networks With a New Error Correction Layer and Piece-Wise Rectified Linear Unit. - Muhammad Salman Ali; Md. Tauhid Bin Iqbal; Kang-Ho Lee; Abdul Muqeet; Seunghyun Lee; Lokwon Kim; Sung-Ho Bae (IEEE Access, 2020)

Cost-Efficient Super-Resolution Hardware Using Local Binary Pattern Classification and Linear Mapping for Real-Time 4K Conversion. - Sung-Ho Bae; Jae-Hyeong Bae; Abdul Muqeet; Mst. Sirazam Monira; Lokwon Kim (IEEE Access, 2020)

Towards an Adversarially Robust Normalization Approach. - Muhammad Awais; Fahad Shamshad; Sung-Ho Bae (CoRR, 2020)

Ultra Lightweight Image Super-Resolution with Multi-Attention Layers. - Abdul Muqeet; Jiwon Hwang; Subin Yang; Jung Heum Kang; Yongwoo Kim; Sung-Ho Bae (CoRR, 2020)

Cross-Attentional Bracket-shaped Convolutional Network for semantic image segmentation. - Cam-Hao Hua; Thien Huynh-The; Sung-Ho Bae; Sungyoung Lee 002 (Inf. Sci., 2020)

Adversarial Robustness for Unsupervised Domain Adaptation. - Muhammad Awais; Fengwei Zhou; Hang Xu 004; Lanqing Hong; Ping Luo 002; Sung-Ho Bae; Zhenguo Li (ICCV, 2021)

Distilling Global and Local Logits with Densely Connected Relations. - Youmin Kim; Jinbae Park; Younho Jang; Muhammad Salman Ali; Tae-Hyun Oh; Sung-Ho Bae (ICCV, 2021)

SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization. - A. F. M. Shahab Uddin; Mst. Sirazam Monira; Wheemyung Shin; TaeChoong Chung; Sung-Ho Bae (ICLR, 2021)

MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps. - Muhammad Awais; Fengwei Zhou; Chuanlong Xie; Jiawei Li; Sung-Ho Bae; Zhenguo Li (NeurIPS, 2021)

Dynamic Structured Pruning With Novel Filter Importance and Leaky Masking Based on Convolution and Batch Normalization Parameters. - Incheon Cho; Eunseop Shin; Muhammad Salman Ali; Sung-Ho Bae (IEEE Access, 2021)

A Layer-Wise Extreme Network Compression for Super Resolution. - Jiwon Hwang; A. F. M. Shahab Uddin; Sung-Ho Bae (IEEE Access, 2021)

Local Augment: Utilizing Local Bias Property of Convolutional Neural Networks for Data Augmentation. - Youmin Kim; A. F. M. Shahab Uddin; Sung-Ho Bae (IEEE Access, 2021)

Binary-Classifiers-Enabled Filters for Semi-Supervised Learning. - Teerath Kumar; Jinbae Park; Muhammad Salman Ali; A. F. M. Shahab Uddin; Jong Hwan Ko; Sung-Ho Bae (IEEE Access, 2021)

Compressing Neural Networks With Inter Prediction and Linear Transformation. - Kang-Ho Lee; Sung-Ho Bae (IEEE Access, 2021)

A Feature Fusion Based Indicator for Training-Free Neural Architecture Search. - Linh-Tam Tran; Muhammad Salman Ali; Sung-Ho Bae (IEEE Access, 2021)

Convolutional Network With Twofold Feature Augmentation for Diabetic Retinopathy Recognition From Multi-Modal Images. - Cam-Hao Hua; Kiyoung Kim; Thien Huynh-The; Jong In You; Seung-Young Yu; Thuong Le-Tien; Sung-Ho Bae; Sungyoung Lee 001 (IEEE J. Biomed. Health Informatics, 2021)

Revisiting Internal Covariate Shift for Batch Normalization. - Muhammad Awais; Md. Tauhid Bin Iqbal; Sung-Ho Bae (IEEE Trans. Neural Networks Learn. Syst., 2021)

GLAMD: Global and Local Attention Mask Distillation for Object Detectors. - Younho Jang; Wheemyung Shin; Jinbeom Kim; Simon S. Woo; Sung-Ho Bae (ECCV (10), 2022)

ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization. - Qishi Dong; Muhammad Awais; Fengwei Zhou; Chuanlong Xie; Tianyang Hu; Yongxin Yang; Sung-Ho Bae; Zhenguo Li (NeurIPS, 2022)

A Survey on Efficient Methods for Adversarial Robustness. - Muhammad Awais; Sung-Ho Bae (IEEE Access, 2022)

DenSE SwinHDR: SDRTV to HDRTV Conversion Using Densely Connected Swin Transformer With Squeeze and Excitation Module. - Joon-Ki Bae; Subin Yang; Sung-Ho Bae (IEEE Access, 2022)

Visual Interpretation of CNN Prediction Through Layerwise Sequential Selection of Discernible Neurons. - Md. Tauhid Bin Iqbal; Abdul Muqeet; Sung-Ho Bae (IEEE Access, 2022)

A New Pointwise Convolution in Deep Neural Networks Through Extremely Fast and Non Parametric Transforms. - Joonhyun Jeong; Incheon Cho; Eunseop Shin; Sung-Ho Bae (IEEE Access, 2022)

Facial Expression Recognition with Active Local Shape Pattern and Learned-Size Block Representations. - Md. Tauhid Bin Iqbal; Byungyong Ryu; Adín Ramírez Rivera; Farkhod Makhmudkhujaev; Oksam Chae; Sung-Ho Bae (IEEE Trans. Affect. Comput., 2022)

MST-compression: Compressing and Accelerating Binary Neural Networks with Minimum Spanning Tree. - Quang Hieu Vo; Linh-Tam Tran; Sung-Ho Bae; Lok-Won Kim; Choong Seon Hong (ICCV, 2023)

Towards Efficient Image Compression Without Autoregressive Models. - Muhammad Salman Ali; Yeongwoong Kim; Maryam Qamar; Sung-Chang Lim; Donghyun Kim 017; Chaoning Zhang; Sung-Ho Bae; Hui Yong Kim (NeurIPS, 2023)

Exploring the Optimal Bit Pair for a Quantized Generator and Discriminator. - Subin Yang; Muhammad Salman Ali; A. F. M. Shahab Uddin; Sung-Ho Bae (VCIP, 2023)

Adversarial Attacks and Batch Normalization: A Batch Statistics Perspective. - Muhammad Awais; Fahad Shamshad; Sung-Ho Bae (IEEE Access, 2023)

A Super-Resolution-Based Feature Map Compression for Machine-Oriented Video Coding. - Jung Heum Kang; Muhammad Salman Ali; Hyewon Jeong; Chang-Kyun Choi; Younhee Kim; Se-Yoon Jeong; Sung-Ho Bae; Hui Yong Kim (IEEE Access, 2023)

Saliency Prediction in Uncategorized Videos Based on Audio-Visual Correlation. - Maryam Qamar; Suleman Qamar; Muhammad Muneeb; Sung-Ho Bae; Anis Ur Rahman 001 (IEEE Access, 2023)

A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need? - Chaoning Zhang; Chenshuang Zhang; Sheng Zheng; Yu Qiao 004; Chenghao Li; Mengchun Zhang; Sumit Kumar Dam; Chu Myaet Thwal; Ye Lin Tun 001; Le Luang Huy; Dong Uk Kim; Sung-Ho Bae; et al. (CoRR, 2023)

A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI. - Chenshuang Zhang; Chaoning Zhang; Sheng Zheng; Mengchun Zhang; Maryam Qamar; Sung-Ho Bae; In So Kweon (CoRR, 2023)

Analyzing Effects of Mixed Sample Data Augmentation on Model Interpretability. - Soyoun Won; Sung-Ho Bae; Seong Tae Kim 001 (CoRR, 2023)

A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material. - Mengchun Zhang; Maryam Qamar; Taegoo Kang; Yuna Jung; Chenshuang Zhang; Sung-Ho Bae; Chaoning Zhang (CoRR, 2023)

One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era. - Chaoning Zhang; Chenshuang Zhang; Chenghao Li; Yu Qiao 004; Sheng Zheng; Sumit Kumar Dam; Mengchun Zhang; Jung Uk Kim; Seong Tae Kim 001; Jinwoo Choi 001; Gyeong-Moon Park; Sung-Ho Bae; et al. (CoRR, 2023)

Segment Anything Model (SAM) Meets Glass: Mirror and Transparent Objects Cannot Be Easily Detected. - Dongsheng Han; Chaoning Zhang; Yu Qiao 004; Maryam Qamar; Yuna Jung; SeungKyu Lee 001; Sung-Ho Bae; Choong Seon Hong (CoRR, 2023)

Attack-SAM: Towards Attacking Segment Anything Model With Adversarial Examples. - Chenshuang Zhang; Chaoning Zhang; Taegoo Kang; Donghun Kim; Sung-Ho Bae; In So Kweon (CoRR, 2023)

Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era. - Chenghao Li; Chaoning Zhang; Atish Waghwase; Lik-Hang Lee; François Rameau; Yang Yang 002; Sung-Ho Bae; Choong Seon Hong (CoRR, 2023)

A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering. - Chaoning Zhang; Sheng Zheng; Chenghao Li; Yu Qiao 004; Taegoo Kang; Xinru Shan; Chenshuang Zhang; Caiyan Qin; François Rameau; Sung-Ho Bae; Choong Seon Hong (CoRR, 2023)

Faster Segment Anything: Towards Lightweight SAM for Mobile Applications. - Chaoning Zhang; Dongsheng Han; Yu Qiao 004; Jung Uk Kim; Sung-Ho Bae; Seungkyu Lee; Choong Seon Hong (CoRR, 2023)

FROD: Robust Object Detection for Free. - Muhammad Awais; Weiming Zhuang; Lingjuan Lyu; Sung-Ho Bae (CoRR, 2023)

Descanning: From Scanned to the Original Images with a Color Correction Diffusion Model. - Junghun Cha; Ali Haider; Seoyun Yang; Hoeyeong Jin; Subin Yang; A. F. M. Shahab Uddin; Jaehyoung Kim; Soo Ye Kim; Sung-Ho Bae (AAAI, 2024)

Trimming the Fat: Efficient Compression of 3D Gaussian Splats through Pruning. - Muhammad Salman Ali; Maryam Qamar; Sung-Ho Bae; Enzo Tartaglione (BMVC, 2024)

G-SHARP: Globally Shared Kernel with Pruning for Efficient CNNs. - Eunseop Shin; Incheon Cho; Muhammad Awais; A. F. M. Shahab Uddin; Younho Jang; Sung-Ho Bae (ICASSP, 2024)

Chain-of-Factors: A Zero-Shot Prompting Methodology Enabling Factor-Centric Reasoning in Large Language Models. - Musarrat Hussain; Ubaid Ur Rehman 002; Tri D. T. Nguyen; Sungyoung Lee 001; Seong Tae Kim 001; Sung-Ho Bae; Jung Uk Kim (ICMLA, 2024)

Efficient and Effective INR: A Dive into Levels-of-Experts (LoE) and Sine Activation. - Md. Atikuzzaman; Sung-Ho Bae (ICOIN, 2024)

Dissecting Mixed-Sample Data Augmentation Models via Neural-concept Association. - Soyoun Won; Sung-Ho Bae; Seong Tae Kim 001 (ICOIN, 2024)

ALICE: Adapt your Learnable Image Compression modEl for variable bitrates. - Gabriele Spadaro; Muhammad Salman Ali; Alberto Presta; Giommaria Pilo; Sung-Ho Bae; Jhony H. Giraldo; Attilio Fiandrotti; Marco Grangetto; Enzo Tartaglione (VCIP, 2024)

Revisiting Learning-based Video Motion Magnification for Real-time Processing. - Hyunwoo Ha; Oh Hyun-Bin; Kim Jun-Seong; Byung-Ki Kwon; Kim Sung-Bin; Linh-Tam Tran; Ji-Yun Kim; Sung-Ho Bae; Tae-Hyun Oh (CoRR, 2024)

Give me a hint: an explicit prior based image denoising. - A. F. M. Shahab Uddin; Muhammad Salman Ali; Muhammad Awais; Jiwon Hwang; TaeChoong Chung; Sung-Ho Bae (Signal Image Video Process., 2024)

ELMGS: Enhancing Memory and Computation Scalability Through coMpression for 3D Gaussian Splatting. - Muhammad Salman Ali; Sung-Ho Bae; Enzo Tartaglione (WACV, 2025)

DM-KD: Decoupling Mixed-Images for Efficient Knowledge Distillation. - Jongkyung Im; Younho Jang; Junpyo Lim; Taegoo Kang; Chaoning Zhang; Sung-Ho Bae (IEEE Access, 2025)

Spatio-Temporal Data Augmentation Method for Network Traffic Prediction. - Sung Oh; Myeong-Jun Oh; Jongkyung Im; Ji-Yeon Park; Joung-Sik Kim; Na-Rae Yi; Myung-Ho Kim; Sung-Ho Bae (IEEE Access, 2025)

Unified link prediction modeling for enhanced knowledge graph completion task. - Tri D. T. Nguyen; Ubaid Ur Rehman 002; Musarrat Hussain; Rao Faizan; Jamil Hussain; Sung-Ho Bae; Jung Uk Kim; Seong Tae Kim 001; Sungyoung Lee 001 (Expert Syst. Appl., 2025)

Effects of mixed sample data augmentation on interpretability of neural networks. - Soyoun Won; Sung-Ho Bae; Seong Tae Kim 001 (Neural Networks, 2025)

Compression in 3D Gaussian Splatting: A Survey of Methods, Trends, and Future Directions. - Muhammad Salman Ali; Chaoning Zhang; Marco Cagnazzo; Giuseppe Valenzise; Enzo Tartaglione; Sung-Ho Bae (CoRR, 2025)

I-INR: Iterative Implicit Neural Representations. - Ali Haider; Muhammad Salman Ali; Maryam Qamar; Tahir Khalil; Soo Ye Kim; Jihyong Oh; Enzo Tartaglione; Sung-Ho Bae (CoRR, 2025)