Seong Jae Hwang
Seong Jae Hwang
Computer Science, University of Pittsburgh
Verified email at pitt.edu - Homepage
Title
Cited by
Cited by
Year
Tensorize, Factorize and Regularize: Robust Visual Relationship Learning
SJ Hwang, SN Ravi, Z Tao, HJ Kim, MD Collins, V Singh
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
452018
Cerebrospinal fluid biomarkers of neurofibrillary tangles and synaptic dysfunction are associated with longitudinal decline in white matter connectivity: A multi-resolution …
WH Kim, AM Racine, N Adluru, SJ Hwang, K Blennow, H Zetterberg, ...
NeuroImage: Clinical 21, 101586, 2019
262019
Fast object tracking framework for sports video recognition
Z Han, X Dai, SJ Hwang, J Fass
US Patent 9,449,230, 2016
172016
Associations between positron emission tomography amyloid pathology and diffusion tensor imaging brain connectivity in pre-clinical Alzheimer's disease
SJ Hwang, N Adluru, WH Kim, SC Johnson, BB Bendlin, V Singh
Brain connectivity 9 (2), 162-173, 2019
8*2019
Cervical vertebral body growth and emergence of sexual dimorphism: a developmental study using computed tomography
CA Miller, SJ Hwang, MM Cotter, HK Vorperian
Journal of anatomy 234 (6), 764-777, 2019
72019
Online Graph Completion: Multivariate Signal Recovery in Computer Vision
WH Kim, M Jalal, SJ Hwang, SC Johnson, V Singh
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5019 …, 2017
72017
Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging
SJ Hwang, RR Mehta, HJ Kim, SC Johnson, V Singh
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial …, 2019
6*2019
Adaptive signal recovery on graphs via harmonic analysis for experimental design in neuroimaging
WH Kim, SJ Hwang, N Adluru, SC Johnson, V Singh
European Conference on Computer Vision, 188-205, 2016
62016
A Projection Free Method for Generalized Eigenvalue Problem With a Nonsmooth Regularizer
SJ Hwang, MD Collins, SN Ravi, VK Ithapu, N Adluru, SC Johnson, ...
Proceedings of the IEEE International Conference on Computer Vision, 1841-1849, 2015
62015
Conditional recurrent flow: Conditional generation of longitudinal samples with applications to neuroimaging
SJ Hwang, Z Tao, WH Kim, V Singh
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
52019
Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks
SJ Hwang, N Adluru, MD Collins, SN Ravi, BB Bendlin, SC Johnson, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
52016
Domain adversarial neural networks for domain generalization: When it works and how to improve
A Sicilia, X Zhao, SJ Hwang
arXiv preprint arXiv:2102.03924, 2021
42021
Large-Scale Training Framework for Video Annotation
SJ Hwang, J Lee, B Varadarajan, A Gordon, Z Xu, AP Natsev
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
42019
Robust White Matter Hyperintensity Segmentation On Unseen Domain
X Zhao, A Sicilia, DS Minhas, EE O’Connor, HJ Aizenstein, WE Klunk, ...
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1047-1051, 2021
22021
DATA-DRIVEN PROPAGATION MODELING OF PET-DERIVED ALZHEIMER’S PATHOLOGY IN A PRECLINICAL COHORT
SJ Hwang, S Ravi, N Adluru, BB Bendlin, SC Johnson, V Singh
Alzheimer's & Dementia: The Journal of the Alzheimer's Association 14 (7 …, 2018
2*2018
Developmental morphology of the cervical vertebrae and the emergence of sexual dimorphism in size and shape: A computed tomography study
CA Miller, SJ Hwang, MM Cotter, HK Vorperian
The Anatomical Record 304 (8), 1692-1708, 2021
12021
Learning Multi-resolution Graph Edge Embedding for Discovering Brain Network Dysfunction in Neurological Disorders
X Ma, G Wu, SJ Hwang, WH Kim
International Conference on Information Processing in Medical Imaging, 253-266, 2021
12021
Framework for Training Machine-Learned Models on Extremely Large Datasets
JS Lee, B Varadarajan, A Gordon, AI Natsev, SJ Hwang
US Patent App. 16/657,042, 2021
2021
Multi-Domain Learning By Meta-Learning: Taking Optimal Steps In Multi-Domain Loss Landscapes By Inner-Loop Learning
A Sicilia, X Zhao, DS Minhas, EE O’Connor, HJ Aizenstein, WE Klunk, ...
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 650-654, 2021
2021
PAC Bayesian Performance Guarantees for Deep (Stochastic) Networks in Medical Imaging
A Sicilia, X Zhao, A Sosnovskikh, SJ Hwang
arXiv preprint arXiv:2104.05600, 2021
2021
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Articles 1–20