Seong Jae Hwang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 44

Top Topics

Diffusion Tensor

Signal Recovery

Top Venues

Publications

Chanyoung Kim, Woojung Han, Dayun Ju, Seong Jae Hwang
EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation. CoRR (2024)
Gayoon Choi, Taejin Jeong, Sujung Hong, Jaehoon Joo, Seong Jae Hwang
DragText: Rethinking Text Embedding in Point-based Image Editing. CoRR (2024)
Yumin Kim, Gayoon Choi, Seong Jae Hwang
Parameter Efficient Fine Tuning for Multi-scanner PET to PET Reconstruction. CoRR (2024)
Woojung Han, Seil Kang, Kyobin Choo, Seong Jae Hwang
CoBra: Complementary Branch Fusing Class and Semantic Knowledge for Robust Weakly Supervised Semantic Segmentation. CoRR (2024)
Seil Kang, Donghyun Kim, Junhyeok Kim, Hyo Kyung Lee, Seong Jae Hwang
WoLF: Wide-scope Large Language Model Framework for CXR Understanding. CoRR (2024)
Woojung Han, Chanyoung Kim, Dayun Ju, Yumin Shim, Seong Jae Hwang
Advancing Text-Driven Chest X-Ray Generation with Policy-Based Reinforcement Learning. CoRR (2024)
Kyungsik Lee, Youngmi Jun, Eunji Kim, Suhyun Kim, Seong Jae Hwang, Jonghyun Choi
Kore Initial Clustering for Unsupervised Domain Adaptation. VISIGRAPP (2): VISAPP (2024)
Kyobin Choo, Youngjun Jun, Mijin Yun, Seong Jae Hwang
Slice-Consistent 3D Volumetric Brain CT-to-MRI Translation with 2D Brownian Bridge Diffusion Model. CoRR (2024)
Donghyun Kim, Seil Kang, Seong Jae Hwang
FALCON: Frequency Adjoint Link with CONtinuous Density Mask for Fast Single Image Dehazing. CoRR (2024)
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
MISPEL: A supervised deep learning harmonization method for multi-scanner neuroimaging data. Medical Image Anal. 89 (2023)
Kai Tzu-iunn Ong, Hana Kim, Minjin Kim, Jinseong Jang, Beomseok Sohn, Yoon Seong Choi, Dosik Hwang, Seong Jae Hwang, Jinyoung Yeo
Evidence-empowered Transfer Learning for Alzheimer's Disease. CoRR (2023)
Anthony Sicilia, Xingchen Zhao, Seong Jae Hwang
Domain adversarial neural networks for domain generalization: when it works and how to improve. Mach. Learn. 112 (7) (2023)
Kai Tzu-iunn Ong, Hana Kim, Minjin Kim, Jinseong Jang, Beomseok Sohn, Yoon Seong Choi, Dosik Hwang, Seong Jae Hwang, Jinyoung Yeo
Evidence-Empowered Transfer Learning for Alzheimer's Disease. ISBI (2023)
Anthony Sicilia, Katherine Atwell, Malihe Alikhani, Seong Jae Hwang
PAC-Bayesian Domain Adaptation Bounds for Multiclass Learners. CoRR (2022)
Katherine Atwell, Anthony Sicilia, Seong Jae Hwang, Malihe Alikhani
The Change that Matters in Discourse Parsing: Estimating the Impact of Domain Shift on Parser Error. CoRR (2022)
Xingchen Zhao, Chang Liu, Anthony Sicilia, Seong Jae Hwang, Yun Fu
Test-time Fourier Style Calibration for Domain Generalization. IJCAI (2022)
Katherine Atwell, Anthony Sicilia, Seong Jae Hwang, Malihe Alikhani
The Change that Matters in Discourse Parsing: Estimating the Impact of Domain Shift on Parser Error. ACL (Findings) (2022)
Xingchen Zhao, Chang Liu, Anthony Sicilia, Seong Jae Hwang, Yun Fu
Test-time Fourier Style Calibration for Domain Generalization. CoRR (2022)
Anthony Sicilia, Katherine Atwell, Malihe Alikhani, Seong Jae Hwang
PAC-Bayesian domain adaptation bounds for multiclass learners. UAI (2022)
Anthony Sicilia, Xingchen Zhao, Anastasia Sosnovskikh, Seong Jae Hwang
PAC Bayesian Performance Guarantees for Deep (Stochastic) Networks in Medical Imaging. CoRR (2021)
Mahbaneh Eshaghzadeh Torbati, Dana L. Tudorascu, Davneet S. Minhas, Pauline Maillard, Charles DeCarli, Seong Jae Hwang
Multi-scanner Harmonization of Paired Neuroimaging Data via Structure Preserving Embedding Learning. ICCVW (2021)
Sihyeon Kim, Sanghyeok Lee, Dasol Hwang, Jaewon Lee, Seong Jae Hwang, Hyunwoo J. Kim
Point Cloud Augmentation with Weighted Local Transformations. CoRR (2021)
Xin Ma, Guorong Wu, Seong Jae Hwang, Won Hwa Kim
Learning Multi-resolution Graph Edge Embedding for Discovering Brain Network Dysfunction in Neurological Disorders. IPMI (2021)
Anthony Sicilia, Xingchen Zhao, Anastasia Sosnovskikh, Seong Jae Hwang
PAC Bayesian Performance Guarantees for Deep (Stochastic) Networks in Medical Imaging. MICCAI (3) (2021)
Sihyeon Kim, Sanghyeok Lee, Dasol Hwang, Jaewon Lee, Seong Jae Hwang, Hyunwoo J. Kim
Point Cloud Augmentation with Weighted Local Transformations. ICCV (2021)
Anthony Sicilia, Xingchen Zhao, Davneet S. Minhas, Erin O'Connor, Howard J. Aizenstein, William E. Klunk, Dana L. Tudorascu, Seong Jae Hwang
Multi-Domain Learning By Meta-Learning: Taking Optimal Steps In Multi-Domain Loss Landscapes By Inner-Loop Learning. ISBI (2021)
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, Ciprian M. Crainiceanu, Dana L. Tudorascu
A multi-scanner neuroimaging data harmonization using RAVEL and ComBat. NeuroImage 245 (2021)
Xingchen Zhao, Anthony Sicilia, Davneet S. Minhas, Erin O'Connor, Howard Aizenstein, William E. Klunk, Dana Tudorascu, Seong Jae Hwang
Robust White Matter Hyperintensity Segmentation on Unseen Domain. CoRR (2021)
Xingchen Zhao, Anthony Sicilia, Davneet S. Minhas, Erin O'Connor, Howard J. Aizenstein, William E. Klunk, Dana L. Tudorascu, Seong Jae Hwang
Robust White Matter Hyperintensity Segmentation On Unseen Domain. ISBI (2021)
Anthony Sicilia, Xingchen Zhao, Seong Jae Hwang
Domain Adversarial Neural Networks for Domain Generalization: When It Works and How to Improve. CoRR (2021)
Anthony Sicilia, Xingchen Zhao, Davneet S. Minhas, Erin O'Connor, Howard Aizenstein, William E. Klunk, Dana Tudorascu, Seong Jae Hwang
Multi-Domain Learning by Meta-Learning: Taking Optimal Steps in Multi-Domain Loss Landscapes by Inner-Loop Learning. CoRR (2021)
Won Hwa Kim, Mona Jalal, Seong Jae Hwang, Sterling C. Johnson, Vikas Singh
Online Graph Completion: Multivariate Signal Recovery in Computer Vision. CoRR (2020)
Wei Hao, Nicholas M. Vogt, Zihang Meng, Seong Jae Hwang, Rebecca L. Koscik, Sterling C. Johnson, Barbara B. Bendlin, Vikas Singh
Learning Amyloid Pathology Progression from Longitudinal PIB-PET Images in Preclinical Alzheimer's Disease. ISBI (2020)
Brian Falkenstein, Adriana Kovashka, Seong Jae Hwang, S. Chakra Chennubhotla
Classifying Nuclei Shape Heterogeneity in Breast Tumors with Skeletons. ECCV Workshops (1) (2020)
Seong Jae Hwang, Zirui Tao, Vikas Singh, Won Hwa Kim
Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples With Applications to Neuroimaging. ICCV (2019)
Seong Jae Hwang, Joonseok Lee, Balakrishnan Varadarajan, Ariel Gordon, Zheng Xu, Apostol Natsev
Large-Scale Training Framework for Video Annotation. KDD (2019)
Seong Jae Hwang, Nagesh Adluru, Won Hwa Kim, Sterling C. Johnson, Barbara B. Bendlin, Vikas Singh
Associations Between Positron Emission Tomography Amyloid Pathology and Diffusion Tensor Imaging Brain Connectivity in Pre-Clinical Alzheimer's Disease. Brain Connect. 9 (2) (2019)
Seong Jae Hwang, Ronak Mehta, Hyunwoo J. Kim, Sterling C. Johnson, Vikas Singh
Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging. UAI (2019)
Seong Jae Hwang, Ronak Mehta, Vikas Singh
Sampling-free Uncertainty Estimation in Gated Recurrent Units with Exponential Families. CoRR (2018)
Seong Jae Hwang, Zirui Tao, Won Hwa Kim, Vikas Singh
Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples with Applications to Neuroimaging. CoRR (2018)
Seong Jae Hwang, Sathya N. Ravi, Zirui Tao, Hyunwoo J. Kim, Maxwell D. Collins, Vikas Singh
Tensorize, Factorize and Regularize: Robust Visual Relationship Learning. CVPR (2018)
Won Hwa Kim, Mona Jalal, Seong Jae Hwang, Sterling C. Johnson, Vikas Singh
Online Graph Completion: Multivariate Signal Recovery in Computer Vision. CVPR (2017)
Won Hwa Kim, Seong Jae Hwang, Nagesh Adluru, Sterling C. Johnson, Vikas Singh
Adaptive Signal Recovery on Graphs via Harmonic Analysis for Experimental Design in Neuroimaging. ECCV (6) (2016)
Seong Jae Hwang, Nagesh Adluru, Maxwell D. Collins, Sathya N. Ravi, Barbara B. Bendlin, Sterling C. Johnson, Vikas Singh
Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks. CVPR (2016)
Seong Jae Hwang, Maxwell D. Collins, Sathya N. Ravi, Vamsi K. Ithapu, Nagesh Adluru, Sterling C. Johnson, Vikas Singh
A Projection Free Method for Generalized Eigenvalue Problem with a Nonsmooth Regularizer. ICCV (2015)