A Projection Free Method for Generalized Eigenvalue Problem with a Nonsmooth Regularizer. - Seong Jae Hwang; Maxwell D. Collins; Sathya N. Ravi; Vamsi K. Ithapu; Nagesh Adluru; Sterling C. Johnson; Vikas Singh (ICCV, 2015)

Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks. - Seong Jae Hwang; Nagesh Adluru; Maxwell D. Collins; Sathya N. Ravi; Barbara B. Bendlin; Sterling C. Johnson; Vikas Singh (CVPR, 2016)

Adaptive Signal Recovery on Graphs via Harmonic Analysis for Experimental Design in Neuroimaging. - Won Hwa Kim; Seong Jae Hwang; Nagesh Adluru; Sterling C. Johnson; Vikas Singh (ECCV (6), 2016)

Online Graph Completion: Multivariate Signal Recovery in Computer Vision. - Won Hwa Kim; Mona Jalal; Seong Jae Hwang; Sterling C. Johnson; Vikas Singh (CVPR, 2017)

Tensorize, Factorize and Regularize: Robust Visual Relationship Learning. - Seong Jae Hwang; Sathya N. Ravi; Zirui Tao; Hyunwoo J. Kim; Maxwell D. Collins; Vikas Singh (CVPR, 2018)

Sampling-free Uncertainty Estimation in Gated Recurrent Units with Exponential Families. - Seong Jae Hwang; Ronak Mehta; Vikas Singh (CoRR, 2018)

Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples With Applications to Neuroimaging. - Seong Jae Hwang; Zirui Tao; Vikas Singh; Won Hwa Kim (ICCV, 2019)

Large-Scale Training Framework for Video Annotation. - Seong Jae Hwang; Joonseok Lee; Balakrishnan Varadarajan; Ariel Gordon; Zheng Xu; Apostol Natsev (KDD, 2019)

Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging. - Seong Jae Hwang; Ronak Mehta; Hyunwoo J. Kim; Sterling C. Johnson; Vikas Singh (UAI, 2019)

Associations Between Positron Emission Tomography Amyloid Pathology and Diffusion Tensor Imaging Brain Connectivity in Pre-Clinical Alzheimer's Disease. - Seong Jae Hwang; Nagesh Adluru; Won Hwa Kim; Sterling C. Johnson; Barbara B. Bendlin; Vikas Singh (Brain Connect., 2019)

Classifying Nuclei Shape Heterogeneity in Breast Tumors with Skeletons. - Brian Falkenstein; Adriana Kovashka; Seong Jae Hwang; S. Chakra Chennubhotla (ECCV Workshops (1), 2020)

Learning Amyloid Pathology Progression from Longitudinal PIB-PET Images in Preclinical Alzheimer's Disease. - Wei Hao; Nicholas M. Vogt; Zihang Meng; Seong Jae Hwang; Rebecca L. Koscik; Sterling C. Johnson; Barbara B. Bendlin; Vikas Singh (ISBI, 2020)

Point Cloud Augmentation with Weighted Local Transformations. - Sihyeon Kim; Sanghyeok Lee; Dasol Hwang; Jaewon Lee; Seong Jae Hwang; Hyunwoo J. Kim (ICCV, 2021)

Multi-scanner Harmonization of Paired Neuroimaging Data via Structure Preserving Embedding Learning. - Mahbaneh Eshaghzadeh Torbati; Dana L. Tudorascu; Davneet S. Minhas; Pauline Maillard; Charles DeCarli; Seong Jae Hwang (ICCVW, 2021)

Learning Multi-resolution Graph Edge Embedding for Discovering Brain Network Dysfunction in Neurological Disorders. - Xin Ma 006; Guorong Wu 001; Seong Jae Hwang; Won Hwa Kim (IPMI, 2021)

Multi-Domain Learning By Meta-Learning: Taking Optimal Steps In Multi-Domain Loss Landscapes By Inner-Loop Learning. - Anthony Sicilia; Xingchen Zhao; Davneet S. Minhas; Erin O'Connor; Howard J. Aizenstein; William E. Klunk; Dana L. Tudorascu; Seong Jae Hwang (ISBI, 2021)

Robust White Matter Hyperintensity Segmentation On Unseen Domain. - Xingchen Zhao; Anthony Sicilia; Davneet S. Minhas; Erin O'Connor; Howard J. Aizenstein; William E. Klunk; Dana L. Tudorascu; Seong Jae Hwang (ISBI, 2021)

PAC Bayesian Performance Guarantees for Deep (Stochastic) Networks in Medical Imaging. - Anthony Sicilia; Xingchen Zhao; Anastasia Sosnovskikh; Seong Jae Hwang (MICCAI (3), 2021)

A multi-scanner neuroimaging data harmonization using RAVEL and ComBat. - Mahbaneh Eshaghzadeh Torbati; Davneet S. Minhas; Ghasan Ahmad; Erin O'Connor; John Muschelli; Charles M. Laymon; Zixi Yang; Ann D. Cohen; Howard J. Aizenstein; William E. Klunk; Bradley T. Christian; Seong Jae Hwang; et al. (NeuroImage, 2021)

The Change that Matters in Discourse Parsing: Estimating the Impact of Domain Shift on Parser Error. - Katherine Atwell; Anthony Sicilia; Seong Jae Hwang; Malihe Alikhani (ACL (Findings), 2022)

Test-time Fourier Style Calibration for Domain Generalization. - Xingchen Zhao; Chang Liu 022; Anthony Sicilia; Seong Jae Hwang; Yun Fu 001 (IJCAI, 2022)

PAC-Bayesian domain adaptation bounds for multiclass learners. - Anthony Sicilia; Katherine Atwell; Malihe Alikhani; Seong Jae Hwang (UAI, 2022)

Evidence-Empowered Transfer Learning for Alzheimer's Disease. - Kai Tzu-iunn Ong; Hana Kim; Minjin Kim; Jinseong Jang; Beomseok Sohn; Yoon Seong Choi; Dosik Hwang; Seong Jae Hwang; Jinyoung Yeo (ISBI, 2023)

Domain adversarial neural networks for domain generalization: when it works and how to improve. - Anthony Sicilia; Xingchen Zhao; Seong Jae Hwang (Mach. Learn., 2023)

MISPEL: A supervised deep learning harmonization method for multi-scanner neuroimaging data. - Mahbaneh Eshaghzadeh Torbati; Davneet S. Minhas; Charles M. Laymon; Pauline Maillard; James D. Wilson; Chang-Le Chen; Ciprian M. Crainiceanu; Charles DeCarli; Seong Jae Hwang; Dana L. Tudorascu (Medical Image Anal., 2023)

EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation. - Chanyoung Kim 001; Woojung Han; Dayun Ju; Seong Jae Hwang (CVPR, 2024)

Slice-Consistent 3D Volumetric Brain CT-to-MRI Translation with 2D Brownian Bridge Diffusion Model. - Kyobin Choo; Youngjun Jun; Mijin Yun; Seong Jae Hwang (MICCAI (7), 2024)

Advancing Text-Driven Chest X-Ray Generation with Policy-Based Reinforcement Learning. - Woojung Han; Chanyoung Kim 001; Dayun Ju; Yumin Shim; Seong Jae Hwang (MICCAI (3), 2024)

Parameter Efficient Fine Tuning for Multi-scanner PET to PET Reconstruction. - Yumin Kim; Gayoon Choi; Seong Jae Hwang (MICCAI (7), 2024)

ESPA: An Unsupervised Harmonization Framework via Enhanced Structure Preserving Augmentation. - Mahbaneh Eshaghzadeh Torbati; Davneet S. Minhas; Ahmad P. Tafti; Charles DeCarli; Dana L. Tudorascu; Seong Jae Hwang (MICCAI (2), 2024)

Kore Initial Clustering for Unsupervised Domain Adaptation. - Kyungsik Lee; Youngmi Jun; Eunji Kim; Suhyun Kim; Seong Jae Hwang; Jonghyun Choi (VISIGRAPP (2): VISAPP, 2024)

CoBra: Complementary Branch Fusing Class and Semantic Knowledge for Robust Weakly Supervised Semantic Segmentation. - Woojung Han; Seil Kang; Kyobin Choo; Seong Jae Hwang (CoRR, 2024)

WoLF: Wide-scope Large Language Model Framework for CXR Understanding. - Seil Kang; Donghyun Kim; Junhyeok Kim 002; Hyo Kyung Lee; Seong Jae Hwang (CoRR, 2024)

FALCON: Frequency Adjoint Link with CONtinuous Density Mask for Fast Single Image Dehazing. - Donghyun Kim; Seil Kang; Seong Jae Hwang (CoRR, 2024)

DragText: Rethinking Text Embedding in Point-based Image Editing. - Gayoon Choi; Taejin Jeong; Sujung Hong; Jaehoon Joo; Seong Jae Hwang (CoRR, 2024)

Brain-Streams: fMRI-to-Image Reconstruction with Multi-modal Guidance. - Jaehoon Joo; Taejin Jeong; Seong Jae Hwang (CoRR, 2024)

PLATYPUS: Progressive Local Surface Estimator for Arbitrary-Scale Point Cloud Upsampling. - Donghyun Kim; Hyeonkyeong Kwon; Yumin Kim; Seong Jae Hwang (AAAI, 2025)

Distilling Spectral Graph for Object-Context Aware Open-Vocabulary Semantic Segmentation. - Chanyoung Kim 001; Dayun Ju; Woojung Han; Ming-Hsuan Yang 001; Seong Jae Hwang (CVPR, 2025)

Spatial Transport Optimization by Repositioning Attention Map for Training-Free Text-to-Image Synthesis. - Woojung Han; Yeonkyung Lee; Chanyoung Kim 001; Kwanghyun Park 004; Seong Jae Hwang (CVPR, 2025)

Your Large Vision-Language Model Only Needs A Few Attention Heads For Visual Grounding. - Seil Kang; Jinyeong Kim; Junhyeok Kim 002; Seong Jae Hwang (CVPR, 2025)

FALCON: Fast Image Haze Removal Leveraging Continuous Density Mask. - Donghyun Kim; Seil Kang; Seong Jae Hwang (CVPR Workshops, 2025)

See What You Are Told: Visual Attention Sink in Large Multimodal Models. - Seil Kang; Jinyeong Kim; Junhyeok Kim 002; Seong Jae Hwang (ICLR, 2025)

Dragtext: Rethinking Text Embedding in Point-Based Image Editing. - Gayoon Choi; Taejin Jeong; Sujung Hong; Seong Jae Hwang (WACV, 2025)

Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models. - Youngjun Jun; Jiwoo Park; Kyobin Choo; Tae Eun Choi; Seong Jae Hwang (WACV, 2025)

Complementary branch fusing class and semantic knowledge for robust weakly supervised semantic segmentation. - Woojung Han; Seil Kang; Kyobin Choo; Seong Jae Hwang (Pattern Recognit., 2025)

Pathology-Aware Adaptive Watermarking for Text-Driven Medical Image Synthesis. - Chanyoung Kim 001; Dayun Ju; Jinyeong Kim; Woojung Han; Roberto Alcover-Couso; Seong Jae Hwang (CoRR, 2025)

Fourier Decomposition for Explicit Representation of 3D Point Cloud Attributes. - Donghyun Kim; Hyunah Ko; Chanyoung Kim 001; Seong Jae Hwang (CoRR, 2025)

Rethinking Glaucoma Calibration: Voting-Based Binocular and Metadata Integration. - Taejin Jeong; Joohyeok Kim; Jaehoon Joo; Yeonwoo Jung; Hyeonmin Kim; Seong Jae Hwang (CoRR, 2025)

PRETI: Patient-Aware Retinal Foundation Model via Metadata-Guided Representation Learning. - Yeonkyung Lee; Woojung Han; Youngjun Jun; Hyeonmin Kim; Jungkyung Cho; Seong Jae Hwang (CoRR, 2025)

Backbone Augmented Training for Adaptations. - Jae Wan Park; Junhyeok Kim 002; Youngjun Jun; Hyunah Ko; Seong Jae Hwang (CoRR, 2025)

Mono-Modalizing Extremely Heterogeneous Multi-Modal Medical Image Registration. - Kyobin Choo; Hyunkyung Han; Jinyeong Kim; Chanyong Yoon; Seong Jae Hwang (CoRR, 2025)

WAVE: Warp-Based View Guidance for Consistent Novel View Synthesis Using a Single Image. - Jiwoo Park; Tae Eun Choi; Youngjun Jun; Seong Jae Hwang (CoRR, 2025)