GPU-friendly multi-view stereo reconstruction using surfel representation and graph cuts. - Ju Yong Chang; Haesol Park; In Kyu Park; Kyoung Mu Lee; Sang Uk Lee (Comput. Vis. Image Underst., 2011)

Combining multi-view stereo and super resolution in a unified framework. - Haesol Park; Kyoung Mu Lee; Sang Uk Lee (APSIPA, 2012)

Stereo reconstruction using high-order likelihoods. - Ho Yub Jung; Haesol Park; In Kyu Park; Kyoung Mu Lee; Sang Uk Lee (Comput. Vis. Image Underst., 2014)

Joint Estimation of Camera Pose, Depth, Deblurring, and Super-Resolution from a Blurred Image Sequence. - Haesol Park; Kyoung Mu Lee (ICCV, 2017)

Look Wider to Match Image Patches With Convolutional Neural Networks. - Haesol Park; Kyoung Mu Lee (IEEE Signal Process. Lett., 2017)

Joint Blind Motion Deblurring and Depth Estimation of Light Field. - Dongwoo Lee; Haesol Park; In Kyu Park; Kyoung Mu Lee (ECCV (16), 2018)

Data Augmentation of Backscatter X-ray Images for Deep Learning-Based Automatic Cargo Inspection. - Hyun-Woo Cho; Haesol Park; Ig-Jae Kim; Junghyun Cho (Sensors, 2021)

Weakly supervised Branch Network with Template Mask for Classifying Masses in 3D Automated Breast Ultrasound. - Daekyung Kim; Changmo Nam; Haesol Park; Mijung Jang; Kyong Joon Lee (WACV, 2022)

MAIR: Multi-View Attention Inverse Rendering with 3D Spatially-Varying Lighting Estimation. - Junyong Choi; SeokYeong Lee; Haesol Park; Seung-Won Jung; Ig-Jae Kim; Junghyun Cho (CVPR, 2023)

Enhancing Multi-view Pedestrian Detection Through Generalized 3D Feature Pulling. - Sithu Aung; Haesol Park; Hyungjoo Jung; Junghyun Cho (WACV, 2024)

IG-FIQA: Improving Face Image Quality Assessment through Intra-class Variance Guidance robust to Inaccurate Pseudo-Labels. - Minsoo Kim; Gi Pyo Nam; Haksub Kim; Haesol Park; Ig-Jae Kim (CoRR, 2024)

V-NAW: Video-based Noise-aware Adaptive Weighting for Facial Expression Recognition. - JunGyu Lee 003; Kunyoung Lee; Haesol Park; Ig-Jae Kim; Gi Pyo Nam (CVPR Workshops, 2025)

IG-FIQA: Improving Classifiability-Based Face Image Quality Assessment Through Intra-Class Variance Guidance. - Minsoo Kim; Gi Pyo Nam; Haksub Kim; Haesol Park; Ig-Jae Kim (IEEE Access, 2025)

GMAR: Gradient-Driven Multi-Head Attention Rollout for Vision Transformer Interpretability. - Sehyeong Jo; Gangjae Jang; Haesol Park (CoRR, 2025)

MAIR++: Improving Multi-View Attention Inverse Rendering With Implicit Lighting Representation. - Junyong Choi; SeokYeong Lee; Haesol Park; Seung-Won Jung; Ig-Jae Kim; Junghyun Cho (IEEE Trans. Pattern Anal. Mach. Intell., 2025)