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)

Center-Emphasized Visual Saliency and a Contrast-Based Full Reference Image Quality Index. - Md. Abu Layek; A. F. M. Shahab Uddin; Tuyen Pham Le 001; TaeChoong Chung; Eui-Nam Huh (Symmetry, 2019)

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)

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)

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)

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)

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)

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)