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)

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)

Beyond Image Super-Resolution for Image Recognition with Task-Driven Perceptual Loss. - Jaeha Kim; Junghun Oh; Kyoung Mu Lee (CVPR, 2024)

CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning. - Junghun Oh; Sungyong Baik; Kyoung Mu Lee (ECCV (49), 2024)

Find A Winning Sign: Sign Is All We Need to Win the Lottery. - Junghun Oh; Sungyong Baik; Kyoung Mu Lee (ICLR, 2025)

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

Exploiting Diffusion Prior for Task-driven Image Restoration. - Jaeha Kim; Junghun Oh; Kyoung Mu Lee (CoRR, 2025)