Seong Jae Hwang

84 papers A* 14A 4Journal 47Unranked 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
Anchoring and Rescaling Attention for Semantically Coherent Inbetweening.
CoRR
Tae Eun Choi, Sumin Shim, Junhyeok Kim, Seong Jae Hwang
2026 J jnl
FEAST: Fully Connected Expressive Attention for Spatial Transcriptomics.
CoRR
Taejin Jeong, Joohyeok Kim, Jinyeong Kim, Chanyoung Kim, Seong Jae Hwang
2026 J jnl
Interpretable Motion-Attentive Maps: Spatio-Temporally Localizing Concepts in Video Diffusion Transformers.
CoRR
Youngjun Jun, Seil Kang, Woojung Han, Seong Jae Hwang
2026 J jnl
Multimodal deep learning with anatomically constrained attention for screening MRI-detectable TMJ abnormalities from panoramic images.
npj Digit. Medicine
Hyo-Jung Jung, Dayun Ju, Chanyoung Kim, Seong Jae Hwang, Chena Lee, Younjung Park
2026 J jnl
ViKey: Enhancing Temporal Understanding in Videos via Visual Prompting.
CoRR
Yeonkyung Lee, Dayun Ju, Youngmin Kim, Seil Kang, Seong Jae Hwang
2025 J jnl
Backbone Augmented Training for Adaptations.
CoRR
Jae Wan Park, Junhyeok Kim, Youngjun Jun, Hyunah Ko, Seong Jae Hwang
2025 J jnl
Complementary branch fusing class and semantic knowledge for robust weakly supervised semantic segmentation.
Pattern Recognit.
Woojung Han, Seil Kang, Kyobin Choo, Seong Jae Hwang
2025 A conf
Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models.
WACV
Youngjun Jun, Jiwoo Park, Kyobin Choo, Tae Eun Choi, Seong Jae Hwang
2025 A* conf
Distilling Spectral Graph for Object-Context Aware Open-Vocabulary Semantic Segmentation.
CVPR
Chanyoung Kim, Dayun Ju, Woojung Han, Ming-Hsuan Yang, Seong Jae Hwang
2025 A conf
Dragtext: Rethinking Text Embedding in Point-Based Image Editing.
WACV
Gayoon Choi, Taejin Jeong, Sujung Hong, Seong Jae Hwang
2025 — conf
FALCON: Fast Image Haze Removal Leveraging Continuous Density Mask.
CVPR Workshops
Donghyun Kim, Seil Kang, Seong Jae Hwang
2025 J jnl
Fourier Decomposition for Explicit Representation of 3D Point Cloud Attributes.
CoRR
Donghyun Kim, Hyunah Ko, Chanyoung Kim, Seong Jae Hwang
2025 J jnl
Interpreting Attention Heads for Image-to-Text Information Flow in Large Vision-Language Models.
CoRR
Jinyeong Kim, Seil Kang, Jiwoo Park, Junhyeok Kim, Seong Jae Hwang
2025 J jnl
Interpreting vision transformers via residual replacement model.
CoRR
Jinyeong Kim, Junhyeok Kim, Yumin Shim, Joohyeok Kim, Sunyoung Jung, Seong Jae Hwang
2025 J jnl
Mono-Modalizing Extremely Heterogeneous Multi-Modal Medical Image Registration.
CoRR
Kyobin Choo, Hyunkyung Han, Jinyeong Kim, Chanyong Yoon, Seong Jae Hwang
2025 — conf
Mono-Modalizing Extremely Heterogeneous Multi-modal Medical Image Registration.
MICCAI (5)
Kyobin Choo, Hyunkyung Han, Jinyeong Kim, Chanyong Yoon, Seong Jae Hwang
2025 A* conf
PLATYPUS: Progressive Local Surface Estimator for Arbitrary-Scale Point Cloud Upsampling.
AAAI
Donghyun Kim, Hyeonkyeong Kwon, Yumin Kim, Seong Jae Hwang
2025 — conf
PRETI: Patient-Aware Retinal Foundation Model via Metadata-Guided Representation Learning.
MICCAI (1)
Yeonkyung Lee, Woojung Han, Youngjun Jun, Hyeonmin Kim, Jungkyung Cho, Seong Jae Hwang
2025 J jnl
PRETI: Patient-Aware Retinal Foundation Model via Metadata-Guided Representation Learning.
CoRR
Yeonkyung Lee, Woojung Han, Youngjun Jun, Hyeonmin Kim, Jungkyung Cho, Seong Jae Hwang
2025 — conf
Pathology-Aware Adaptive Watermarking for Text-Driven Medical Image Synthesis.
MICCAI (16)
Chanyoung Kim, Dayun Ju, Jinyeong Kim, Woojung Han, Roberto Alcover-Couso, Seong Jae Hwang
2025 J jnl
Pathology-Aware Adaptive Watermarking for Text-Driven Medical Image Synthesis.
CoRR
Chanyoung Kim, Dayun Ju, Jinyeong Kim, Woojung Han, Roberto Alcover-Couso, Seong Jae Hwang
2025 J jnl
Rare Text Semantics Were Always There in Your Diffusion Transformer.
CoRR
Seil Kang, Woojung Han, Dayun Ju, Seong Jae Hwang
2025 J jnl
Rethinking Glaucoma Calibration: Voting-Based Binocular and Metadata Integration.
CoRR
Taejin Jeong, Joohyeok Kim, Jaehoon Joo, Yeonwoo Jung, Hyeonmin Kim, Seong Jae Hwang
2025 A* conf
See What You Are Told: Visual Attention Sink in Large Multimodal Models.
ICLR
Seil Kang, Jinyeong Kim, Junhyeok Kim, Seong Jae Hwang
2025 J jnl
See What You Are Told: Visual Attention Sink in Large Multimodal Models.
CoRR
Seil Kang, Jinyeong Kim, Junhyeok Kim, Seong Jae Hwang
2025 A* conf
Spatial Transport Optimization by Repositioning Attention Map for Training-Free Text-to-Image Synthesis.
CVPR
Woojung Han, Yeonkyung Lee, Chanyoung Kim, Kwanghyun Park, Seong Jae Hwang
2025 J jnl
Spatial Transport Optimization by Repositioning Attention Map for Training-Free Text-to-Image Synthesis.
CoRR
Woojung Han, Yeonkyung Lee, Chanyoung Kim, Kwanghyun Park, Seong Jae Hwang
2025 J jnl
WAVE: Warp-Based View Guidance for Consistent Novel View Synthesis Using a Single Image.
CoRR
Jiwoo Park, Tae Eun Choi, Youngjun Jun, Seong Jae Hwang
2025 A* conf
Your Large Vision-Language Model Only Needs A Few Attention Heads For Visual Grounding.
CVPR
Seil Kang, Jinyeong Kim, Junhyeok Kim, Seong Jae Hwang
2025 J jnl
Your Large Vision-Language Model Only Needs A Few Attention Heads For Visual Grounding.
CoRR
Seil Kang, Jinyeong Kim, Junhyeok Kim, Seong Jae Hwang
2024 — conf
Advancing Text-Driven Chest X-Ray Generation with Policy-Based Reinforcement Learning.
MICCAI (3)
Woojung Han, Chanyoung Kim, Dayun Ju, Yumin Shim, Seong Jae Hwang
2024 J jnl
Advancing Text-Driven Chest X-Ray Generation with Policy-Based Reinforcement Learning.
CoRR
Woojung Han, Chanyoung Kim, Dayun Ju, Yumin Shim, Seong Jae Hwang
2024 J jnl
Brain-Streams: fMRI-to-Image Reconstruction with Multi-modal Guidance.
CoRR
Jaehoon Joo, Taejin Jeong, Seong Jae Hwang
2024 J jnl
CoBra: Complementary Branch Fusing Class and Semantic Knowledge for Robust Weakly Supervised Semantic Segmentation.
CoRR
Woojung Han, Seil Kang, Kyobin Choo, Seong Jae Hwang
2024 J jnl
Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models.
CoRR
Youngjun Jun, Jiwoo Park, Kyobin Choo, Tae Eun Choi, Seong Jae Hwang
2024 J jnl
Distilling Spectral Graph for Object-Context Aware Open-Vocabulary Semantic Segmentation.
CoRR
Chanyoung Kim, Dayun Ju, Woojung Han, Ming-Hsuan Yang, Seong Jae Hwang
2024 J jnl
DragText: Rethinking Text Embedding in Point-based Image Editing.
CoRR
Gayoon Choi, Taejin Jeong, Sujung Hong, Jaehoon Joo, Seong Jae Hwang
2024 A* conf
EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation.
CVPR
Chanyoung Kim, Woojung Han, Dayun Ju, Seong Jae Hwang
2024 J jnl
EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation.
CoRR
Chanyoung Kim, Woojung Han, Dayun Ju, Seong Jae Hwang
2024 — conf
ESPA: An Unsupervised Harmonization Framework via Enhanced Structure Preserving Augmentation.
MICCAI (2)
Mahbaneh Eshaghzadeh Torbati, Davneet S. Minhas, Ahmad P. Tafti, Charles DeCarli, Dana L. Tudorascu, Seong Jae Hwang
2024 J jnl
FALCON: Frequency Adjoint Link with CONtinuous Density Mask for Fast Single Image Dehazing.
CoRR
Donghyun Kim, Seil Kang, Seong Jae Hwang
2024 — conf
Kore Initial Clustering for Unsupervised Domain Adaptation.
VISIGRAPP (2): VISAPP
Kyungsik Lee, Youngmi Jun, Eunji Kim, Suhyun Kim, Seong Jae Hwang, Jonghyun Choi
2024 J jnl
PLATYPUS: Progressive Local Surface Estimator for Arbitrary-Scale Point Cloud Upsampling.
CoRR
Donghyun Kim, Hyeonkyeong Kwon, Yumin Kim, Seong Jae Hwang
2024 — conf
Parameter Efficient Fine Tuning for Multi-scanner PET to PET Reconstruction.
MICCAI (7)
Yumin Kim, Gayoon Choi, Seong Jae Hwang
2024 J jnl
Parameter Efficient Fine Tuning for Multi-scanner PET to PET Reconstruction.
CoRR
Yumin Kim, Gayoon Choi, Seong Jae Hwang
2024 — conf
Slice-Consistent 3D Volumetric Brain CT-to-MRI Translation with 2D Brownian Bridge Diffusion Model.
MICCAI (7)
Kyobin Choo, Youngjun Jun, Mijin Yun, Seong Jae Hwang
2024 J jnl
Slice-Consistent 3D Volumetric Brain CT-to-MRI Translation with 2D Brownian Bridge Diffusion Model.
CoRR
Kyobin Choo, Youngjun Jun, Mijin Yun, Seong Jae Hwang
2024 J jnl
WoLF: Wide-scope Large Language Model Framework for CXR Understanding.
CoRR
Seil Kang, Donghyun Kim, Junhyeok Kim, Hyo Kyung Lee, Seong Jae Hwang
2023 J jnl
Domain adversarial neural networks for domain generalization: when it works and how to improve.
Mach. Learn.
Anthony Sicilia, Xingchen Zhao, Seong Jae Hwang
2023 — conf
Evidence-Empowered Transfer Learning for Alzheimer's Disease.
ISBI
Kai Tzu-iunn Ong, Hana Kim, Minjin Kim, Jinseong Jang, Beomseok Sohn, Yoon Seong Choi, Dosik Hwang, Seong Jae Hwang, Jinyoung Yeo
2023 J jnl
Evidence-empowered Transfer Learning for Alzheimer's Disease.
CoRR
Kai Tzu-iunn Ong, Hana Kim, Minjin Kim, Jinseong Jang, Beomseok Sohn, Yoon Seong Choi, Dosik Hwang, Seong Jae Hwang, Jinyoung Yeo
2023 J jnl
MISPEL: A supervised deep learning harmonization method for multi-scanner neuroimaging data.
Medical Image Anal.
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
2022 J jnl
PAC-Bayesian Domain Adaptation Bounds for Multiclass Learners.
CoRR
Anthony Sicilia, Katherine Atwell, Malihe Alikhani, Seong Jae Hwang
2022 A conf
PAC-Bayesian domain adaptation bounds for multiclass learners.
UAI
Anthony Sicilia, Katherine Atwell, Malihe Alikhani, Seong Jae Hwang
2022 A* conf
Test-time Fourier Style Calibration for Domain Generalization.
IJCAI
Xingchen Zhao, Chang Liu, Anthony Sicilia, Seong Jae Hwang, Yun Fu
2022 J jnl
Test-time Fourier Style Calibration for Domain Generalization.
CoRR
Xingchen Zhao, Chang Liu, Anthony Sicilia, Seong Jae Hwang, Yun Fu
2022 — conf
The Change that Matters in Discourse Parsing: Estimating the Impact of Domain Shift on Parser Error.
ACL (Findings)
Katherine Atwell, Anthony Sicilia, Seong Jae Hwang, Malihe Alikhani
2022 J jnl
The Change that Matters in Discourse Parsing: Estimating the Impact of Domain Shift on Parser Error.
CoRR
Katherine Atwell, Anthony Sicilia, Seong Jae Hwang, Malihe Alikhani
2021 J jnl
A multi-scanner neuroimaging data harmonization using RAVEL and ComBat.
NeuroImage
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
2021 J jnl
Domain Adversarial Neural Networks for Domain Generalization: When It Works and How to Improve.
CoRR
Anthony Sicilia, Xingchen Zhao, Seong Jae Hwang
2021 — conf
Learning Multi-resolution Graph Edge Embedding for Discovering Brain Network Dysfunction in Neurological Disorders.
IPMI
Xin Ma, Guorong Wu, Seong Jae Hwang, Won Hwa Kim
2021 — conf
Multi-Domain Learning By Meta-Learning: Taking Optimal Steps In Multi-Domain Loss Landscapes By Inner-Loop Learning.
ISBI
Anthony Sicilia, Xingchen Zhao, Davneet S. Minhas, Erin O'Connor, Howard J. Aizenstein, William E. Klunk, Dana L. Tudorascu, Seong Jae Hwang
2021 J jnl
Multi-Domain Learning by Meta-Learning: Taking Optimal Steps in Multi-Domain Loss Landscapes by Inner-Loop Learning.
CoRR
Anthony Sicilia, Xingchen Zhao, Davneet S. Minhas, Erin O'Connor, Howard Aizenstein, William E. Klunk, Dana Tudorascu, Seong Jae Hwang
2021 — conf
Multi-scanner Harmonization of Paired Neuroimaging Data via Structure Preserving Embedding Learning.
ICCVW
Mahbaneh Eshaghzadeh Torbati, Dana L. Tudorascu, Davneet S. Minhas, Pauline Maillard, Charles DeCarli, Seong Jae Hwang
2021 — conf
PAC Bayesian Performance Guarantees for Deep (Stochastic) Networks in Medical Imaging.
MICCAI (3)
Anthony Sicilia, Xingchen Zhao, Anastasia Sosnovskikh, Seong Jae Hwang
2021 J jnl
PAC Bayesian Performance Guarantees for Deep (Stochastic) Networks in Medical Imaging.
CoRR
Anthony Sicilia, Xingchen Zhao, Anastasia Sosnovskikh, Seong Jae Hwang
2021 A* conf
Point Cloud Augmentation with Weighted Local Transformations.
ICCV
Sihyeon Kim, Sanghyeok Lee, Dasol Hwang, Jaewon Lee, Seong Jae Hwang, Hyunwoo J. Kim
2021 J jnl
Point Cloud Augmentation with Weighted Local Transformations.
CoRR
Sihyeon Kim, Sanghyeok Lee, Dasol Hwang, Jaewon Lee, Seong Jae Hwang, Hyunwoo J. Kim
2021 — conf
Robust White Matter Hyperintensity Segmentation On Unseen Domain.
ISBI
Xingchen Zhao, Anthony Sicilia, Davneet S. Minhas, Erin O'Connor, Howard J. Aizenstein, William E. Klunk, Dana L. Tudorascu, Seong Jae Hwang
2021 J jnl
Robust White Matter Hyperintensity Segmentation on Unseen Domain.
CoRR
Xingchen Zhao, Anthony Sicilia, Davneet S. Minhas, Erin O'Connor, Howard Aizenstein, William E. Klunk, Dana Tudorascu, Seong Jae Hwang
2020 — conf
Classifying Nuclei Shape Heterogeneity in Breast Tumors with Skeletons.
ECCV Workshops (1)
Brian Falkenstein, Adriana Kovashka, Seong Jae Hwang, S. Chakra Chennubhotla
2020 — conf
Learning Amyloid Pathology Progression from Longitudinal PIB-PET Images in Preclinical Alzheimer's Disease.
ISBI
Wei Hao, Nicholas M. Vogt, Zihang Meng, Seong Jae Hwang, Rebecca L. Koscik, Sterling C. Johnson, Barbara B. Bendlin, Vikas Singh
2020 J jnl
Online Graph Completion: Multivariate Signal Recovery in Computer Vision.
CoRR
Won Hwa Kim, Mona Jalal, Seong Jae Hwang, Sterling C. Johnson, Vikas Singh
2019 J jnl
Associations Between Positron Emission Tomography Amyloid Pathology and Diffusion Tensor Imaging Brain Connectivity in Pre-Clinical Alzheimer's Disease.
Brain Connect.
Seong Jae Hwang, Nagesh Adluru, Won Hwa Kim, Sterling C. Johnson, Barbara B. Bendlin, Vikas Singh
2019 A* conf
Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples With Applications to Neuroimaging.
ICCV
Seong Jae Hwang, Zirui Tao, Vikas Singh, Won Hwa Kim
2019 A* conf
Large-Scale Training Framework for Video Annotation.
KDD
Seong Jae Hwang, Joonseok Lee, Balakrishnan Varadarajan, Ariel Gordon, Zheng Xu, Apostol Natsev
2019 A conf
Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging.
UAI
Seong Jae Hwang, Ronak Mehta, Hyunwoo J. Kim, Sterling C. Johnson, Vikas Singh
2018 J jnl
Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples with Applications to Neuroimaging.
CoRR
Seong Jae Hwang, Zirui Tao, Won Hwa Kim, Vikas Singh
2018 J jnl
Sampling-free Uncertainty Estimation in Gated Recurrent Units with Exponential Families.
CoRR
Seong Jae Hwang, Ronak Mehta, Vikas Singh
2018 A* conf
Tensorize, Factorize and Regularize: Robust Visual Relationship Learning.
CVPR
Seong Jae Hwang, Sathya N. Ravi, Zirui Tao, Hyunwoo J. Kim, Maxwell D. Collins, Vikas Singh
2017 A* conf
Online Graph Completion: Multivariate Signal Recovery in Computer Vision.
CVPR
Won Hwa Kim, Mona Jalal, Seong Jae Hwang, Sterling C. Johnson, Vikas Singh
2016 — conf
Adaptive Signal Recovery on Graphs via Harmonic Analysis for Experimental Design in Neuroimaging.
ECCV (6)
Won Hwa Kim, Seong Jae Hwang, Nagesh Adluru, Sterling C. Johnson, Vikas Singh
2016 A* conf
Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks.
CVPR
Seong Jae Hwang, Nagesh Adluru, Maxwell D. Collins, Sathya N. Ravi, Barbara B. Bendlin, Sterling C. Johnson, Vikas Singh
2015 A* conf
A Projection Free Method for Generalized Eigenvalue Problem with a Nonsmooth Regularizer.
ICCV
Seong Jae Hwang, Maxwell D. Collins, Sathya N. Ravi, Vamsi K. Ithapu, Nagesh Adluru, Sterling C. Johnson, Vikas Singh