DAQ: Distribution-Aware Quantization for Deep Image Super-Resolution Networks. - Cheeun Hong; Heewon Kim; Junghun Oh; Kyoung Mu Lee (CoRR, 2020)

Attentive Fine-Grained Structured Sparsity for Image Restoration. - Junghun Oh; Heewon Kim; Seungjun Nah; Cheeun Hong; Jonghyun Choi; Kyoung Mu Lee (CVPR, 2022)

CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution. - Cheeun Hong; Sungyong Baik; Heewon Kim; Seungjun Nah; Kyoung Mu Lee (ECCV (7), 2022)

DAQ: Channel-Wise Distribution-Aware Quantization for Deep Image Super-Resolution Networks. - Cheeun Hong; Heewon Kim; Sungyong Baik; Junghun Oh; Kyoung Mu Lee (WACV, 2022)

Batch Normalization Tells You Which Filter is Important. - Junghun Oh; Heewon Kim; Sungyong Baik; Cheeun Hong; Kyoung Mu Lee (WACV, 2022)

AdaBM: On-the-Fly Adaptive Bit Mapping for Image Super-Resolution. - Cheeun Hong; Kyoung Mu Lee (CVPR, 2024)

Overcoming Distribution Mismatch in Quantizing Image Super-Resolution Networks. - Cheeun Hong; Kyoung Mu Lee (ECCV (13), 2024)

CoLaNet: Adaptive Context and Latent Information Blending for Face Image Inpainting. - Joonkyu Park; Cheeun Hong; Sungyong Baik; Kyoung Mu Lee (IEEE Signal Process. Lett., 2024)

Difficulty, Diversity, and Plausibility: Dynamic Data-Free Quantization. - Cheeun Hong; Sungyong Baik; Junghun Oh; Kyoung Mu Lee (WACV, 2025)