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Seong Jae Hwang
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2020 – today
- 2025
- [j5]Woojung Han, Seil Kang, Kyobin Choo, Seong Jae Hwang:
Complementary branch fusing class and semantic knowledge for robust weakly supervised semantic segmentation. Pattern Recognit. 157: 110922 (2025) - 2024
- [c26]Chanyoung Kim, Woojung Han, Dayun Ju, Seong Jae Hwang:
EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation. CVPR 2024: 3523-3533 - [c25]Woojung Han, Chanyoung Kim, Dayun Ju, Yumin Shim, Seong Jae Hwang:
Advancing Text-Driven Chest X-Ray Generation with Policy-Based Reinforcement Learning. MICCAI (3) 2024: 56-66 - [c24]Mahbaneh Eshaghzadeh Torbati, Davneet S. Minhas, Ahmad P. Tafti, Charles DeCarli, Dana L. Tudorascu, Seong Jae Hwang:
ESPA: An Unsupervised Harmonization Framework via Enhanced Structure Preserving Augmentation. MICCAI (2) 2024: 184-194 - [c23]Yumin Kim, Gayoon Choi, Seong Jae Hwang:
Parameter Efficient Fine Tuning for Multi-scanner PET to PET Reconstruction. MICCAI (7) 2024: 518-528 - [c22]Kyobin Choo, Youngjun Jun, Mijin Yun, Seong Jae Hwang:
Slice-Consistent 3D Volumetric Brain CT-to-MRI Translation with 2D Brownian Bridge Diffusion Model. MICCAI (7) 2024: 657-667 - [c21]Kyungsik Lee, Youngmi Jun, Eunji Kim, Suhyun Kim, Seong Jae Hwang, Jonghyun Choi:
Kore Initial Clustering for Unsupervised Domain Adaptation. VISIGRAPP (2): VISAPP 2024: 425-432 - [i22]Chanyoung Kim, Woojung Han, Dayun Ju, Seong Jae Hwang:
EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation. CoRR abs/2403.01482 (2024) - [i21]Woojung Han, Chanyoung Kim, Dayun Ju, Yumin Shim, Seong Jae Hwang:
Advancing Text-Driven Chest X-Ray Generation with Policy-Based Reinforcement Learning. CoRR abs/2403.06516 (2024) - [i20]Woojung Han, Seil Kang, Kyobin Choo, Seong Jae Hwang:
CoBra: Complementary Branch Fusing Class and Semantic Knowledge for Robust Weakly Supervised Semantic Segmentation. CoRR abs/2403.08801 (2024) - [i19]Seil Kang, Donghyun Kim, Junhyeok Kim, Hyo Kyung Lee, Seong Jae Hwang:
WoLF: Wide-scope Large Language Model Framework for CXR Understanding. CoRR abs/2403.15456 (2024) - [i18]Donghyun Kim, Seil Kang, Seong Jae Hwang:
FALCON: Frequency Adjoint Link with CONtinuous Density Mask for Fast Single Image Dehazing. CoRR abs/2407.00972 (2024) - [i17]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 abs/2407.05059 (2024) - [i16]Yumin Kim, Gayoon Choi, Seong Jae Hwang:
Parameter Efficient Fine Tuning for Multi-scanner PET to PET Reconstruction. CoRR abs/2407.07517 (2024) - [i15]Gayoon Choi, Taejin Jeong, Sujung Hong, Jaehoon Joo, Seong Jae Hwang:
DragText: Rethinking Text Embedding in Point-based Image Editing. CoRR abs/2407.17843 (2024) - [i14]Jaehoon Joo, Taejin Jeong, Seong Jae Hwang:
Brain-Streams: fMRI-to-Image Reconstruction with Multi-modal Guidance. CoRR abs/2409.12099 (2024) - [i13]Youngjun Jun, Jiwoo Park, Kyobin Choo, Tae Eun Choi, Seong Jae Hwang:
Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models. CoRR abs/2410.23820 (2024) - 2023
- [j4]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: 102926 (2023) - [j3]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): 2685-2721 (2023) - [c20]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: 1-5 - [i12]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 abs/2303.01105 (2023) - 2022
- [c19]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: 824-845 - [c18]Xingchen Zhao, Chang Liu, Anthony Sicilia, Seong Jae Hwang, Yun Fu:
Test-time Fourier Style Calibration for Domain Generalization. IJCAI 2022: 1721-1727 - [c17]Anthony Sicilia, Katherine Atwell, Malihe Alikhani, Seong Jae Hwang:
PAC-Bayesian domain adaptation bounds for multiclass learners. UAI 2022: 1824-1834 - [i11]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 abs/2203.11317 (2022) - [i10]Xingchen Zhao, Chang Liu, Anthony Sicilia, Seong Jae Hwang, Yun Fu:
Test-time Fourier Style Calibration for Domain Generalization. CoRR abs/2205.06427 (2022) - [i9]Anthony Sicilia, Katherine Atwell, Malihe Alikhani, Seong Jae Hwang:
PAC-Bayesian Domain Adaptation Bounds for Multiclass Learners. CoRR abs/2207.05685 (2022) - 2021
- [j2]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: 118703 (2021) - [c16]Sihyeon Kim, Sanghyeok Lee, Dasol Hwang, Jaewon Lee, Seong Jae Hwang, Hyunwoo J. Kim:
Point Cloud Augmentation with Weighted Local Transformations. ICCV 2021: 528-537 - [c15]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: 3277-3286 - [c14]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: 253-266 - [c13]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: 650-654 - [c12]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: 1047-1051 - [c11]Anthony Sicilia, Xingchen Zhao, Anastasia Sosnovskikh, Seong Jae Hwang:
PAC Bayesian Performance Guarantees for Deep (Stochastic) Networks in Medical Imaging. MICCAI (3) 2021: 560-570 - [i8]Anthony Sicilia, Xingchen Zhao, Seong Jae Hwang:
Domain Adversarial Neural Networks for Domain Generalization: When It Works and How to Improve. CoRR abs/2102.03924 (2021) - [i7]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 abs/2102.06650 (2021) - [i6]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 abs/2102.13147 (2021) - [i5]Anthony Sicilia, Xingchen Zhao, Anastasia Sosnovskikh, Seong Jae Hwang:
PAC Bayesian Performance Guarantees for Deep (Stochastic) Networks in Medical Imaging. CoRR abs/2104.05600 (2021) - [i4]Sihyeon Kim, Sanghyeok Lee, Dasol Hwang, Jaewon Lee, Seong Jae Hwang, Hyunwoo J. Kim:
Point Cloud Augmentation with Weighted Local Transformations. CoRR abs/2110.05379 (2021) - 2020
- [c10]Brian Falkenstein, Adriana Kovashka, Seong Jae Hwang, S. Chakra Chennubhotla:
Classifying Nuclei Shape Heterogeneity in Breast Tumors with Skeletons. ECCV Workshops (1) 2020: 310-323 - [c9]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: 572-576 - [i3]Won Hwa Kim, Mona Jalal, Seong Jae Hwang, Sterling C. Johnson, Vikas Singh:
Online Graph Completion: Multivariate Signal Recovery in Computer Vision. CoRR abs/2008.05060 (2020)
2010 – 2019
- 2019
- [j1]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): 162-173 (2019) - [c8]Seong Jae Hwang, Zirui Tao, Vikas Singh, Won Hwa Kim:
Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples With Applications to Neuroimaging. ICCV 2019: 10691-10700 - [c7]Seong Jae Hwang, Joonseok Lee, Balakrishnan Varadarajan, Ariel Gordon, Zheng Xu, Apostol Natsev:
Large-Scale Training Framework for Video Annotation. KDD 2019: 2394-2402 - [c6]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: 809-819 - 2018
- [c5]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: 1014-1023 - [i2]Seong Jae Hwang, Ronak Mehta, Vikas Singh:
Sampling-free Uncertainty Estimation in Gated Recurrent Units with Exponential Families. CoRR abs/1804.07351 (2018) - [i1]Seong Jae Hwang, Zirui Tao, Won Hwa Kim, Vikas Singh:
Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples with Applications to Neuroimaging. CoRR abs/1811.09897 (2018) - 2017
- [c4]Won Hwa Kim, Mona Jalal, Seong Jae Hwang, Sterling C. Johnson, Vikas Singh:
Online Graph Completion: Multivariate Signal Recovery in Computer Vision. CVPR 2017: 5019-5027 - 2016
- [c3]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: 2517-2525 - [c2]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: 188-205 - 2015
- [c1]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: 1841-1849
Coauthor Index
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