Seong Jae Hwang
25 papers · 2015–2025 · 9 conferences · across top CS/AI conferences
Achievements
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Renaissance Researcher
(7)
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Interdisciplinary Bridge
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Conference Polyglot
(9)
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Keyword Champion
(2)
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Trend Setter
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Conference Pioneer
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Century Club
(25)
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Prolific Year
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Keyword Collector
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Conferences
MICCAI (7)
CVPR (6)
ICCV (4)
UAI (2)
WACV (2)
AAAI (1)
ACL (1)
ICLR (1)
IJCAI (1)
Top co-authors
Keywords
diffusion model
(4)
unsupervised learning
(3)
semantic segmentation
(2)
generalized eigenvalue problem
(2)
generative model
(2)
longitudinal analysis
(2)
3d vision
(2)
vision-language model
(2)
domain adaptation
(2)
image generation
(1)
curriculum learning
(1)
style transfer
(1)
object detection
(1)
temporal sequence
(1)
vision transformer
(1)
contrastive learning
(1)
text-to-image synthesis
(1)
brain connectivity
(1)
attention mechanism
(1)
medical imaging
(1)
Papers
DragText: Rethinking Text Embedding in Point-Based Image Editing
WACV 2025
Your Large Vision-Language Model Only Needs A Few Attention Heads For Visual Grounding
CVPR 2025
Distilling Spectral Graph for Object-Context Aware Open-Vocabulary Semantic Segmentation
CVPR 2025
Spatial Transport Optimization by Repositioning Attention Map for Training-Free Text-to-Image Synthesis
CVPR 2025
WAVE: Warp-Based View Guidance for Consistent Novel View Synthesis Using a Single Image
ICCV 2025
See What You Are Told: Visual Attention Sink in Large Multimodal Models
ICLR 2025
Mono-Modalizing Extremely Heterogeneous Multi-Modal Medical Image Registration
MICCAI 2025
Pathology-Aware Adaptive Watermarking for Text-Driven Medical Image Synthesis
MICCAI 2025
PRETI: Patient-Aware Retinal Foundation Model via Metadata-Guided Representation Learning
MICCAI 2025
Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models
WACV 2025
PLATYPUS: Progressive Local Surface Estimator for Arbitrary-Scale Point Cloud Upsampling
AAAI 2025
Parameter Efficient Fine Tuning for Multi-scanner PET to PET Reconstruction
MICCAI 2024
ESPA: An Unsupervised Harmonization Framework via Enhanced Structure Preserving Augmentation
MICCAI 2024
EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation
CVPR 2024
Advancing Text-Driven Chest X-Ray Generation with Policy-Based Reinforcement Learning
MICCAI 2024
Slice-Consistent 3D Volumetric Brain CT-to-MRI Translation with 2D Brownian Bridge Diffusion Model
MICCAI 2024
PAC-Bayesian domain adaptation bounds for multiclass learners
UAI 2022
Test-time Fourier Style Calibration for Domain Generalization
IJCAI 2022
The Change that Matters in Discourse Parsing: Estimating the Impact of Domain Shift on Parser Error
ACL 2022
Point Cloud Augmentation With Weighted Local Transformations
ICCV 2021
Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging
UAI 2019
Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples With Applications to Neuroimaging
ICCV 2019
Tensorize, Factorize and Regularize: Robust Visual Relationship Learning
CVPR 2018
Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks
CVPR 2016
A Projection Free Method for Generalized Eigenvalue Problem With a Nonsmooth Regularizer
ICCV 2015