SFNet: Learning Object-Aware Semantic Correspondence. - Junghyup Lee; Dohyung Kim 006; Jean Ponce; Bumsub Ham (CVPR, 2019)

Learning with Privileged Information for Efficient Image Super-Resolution. - Wonkyung Lee; Junghyup Lee; Dohyung Kim 006; Bumsub Ham (ECCV (24), 2020)

Network Quantization With Element-Wise Gradient Scaling. - Junghyup Lee; Dohyung Kim 006; Bumsub Ham (CVPR, 2021)

Distance-aware Quantization. - Dohyung Kim 006; Junghyup Lee; Bumsub Ham (ICCV, 2021)

SIF-NPU: A 28nm 3.48 TOPS/W 0.25 TOPS/mm2 CNN Accelerator with Spatially Independent Fusion for Real-Time UHD Super-Resolution. - Sumin Lee; Ki-Beom Lee; Sunghwan Joo; Hong Keun Ahn; Junghyup Lee; Dohyung Kim 006; Bumsub Ham; Seong-Ook Jung (ESSCIRC, 2022)

Learning Semantic Correspondence Exploiting an Object-Level Prior. - Junghyup Lee; Dohyung Kim 006; Wonkyung Lee; Jean Ponce; Bumsub Ham (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Camera-Driven Representation Learning for Unsupervised Domain Adaptive Person Re-identification. - Geon Lee; Sanghoon Lee; Dohyung Kim 006; Younghoon Shin; Yongsang Yoon; Bumsub Ham (ICCV, 2023)

Instance-Aware Group Quantization for Vision Transformers. - Jaehyeon Moon; Dohyung Kim 006; Junyong Cheon; Bumsub Ham (CVPR, 2024)

Toward INT4 Fixed-Point Training via Exploring Quantization Error for Gradients. - Dohyung Kim 006; Junghyup Lee; Jeimin Jeon; Jaehyeon Moon; Bumsub Ham (ECCV (70), 2024)

Transition Rate Scheduling for Quantization-Aware Training. - Junghyup Lee; Dohyung Kim 006; Jeimin Jeon; Bumsub Ham (CoRR, 2024)

Subnet-Aware Dynamic Supernet Training for Neural Architecture Search. - Jeimin Jeon; Youngmin Oh; Junghyup Lee; Donghyeon Baek; Dohyung Kim 006; Chanho Eom; Bumsub Ham (CVPR, 2025)