Seong Jae Hwang
29 papers · 2015–2026 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (53) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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(6)
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Century Club Β· Bronze
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Research topics
Deep Learning
(15)
Machine Learning
(11)
Computer Vision
(10)
Models
(7)
Artificial Intelligence
(6)
Learning Types Β· Deep Learning
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Application Areas
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Core AI
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Analysis
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Learning Types Β· Machine Learning
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Optimization & Theory
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Processing
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Keywords
diffusion model
(4)
unsupervised learning
(3)
3d vision
(2)
attention mechanism
(2)
longitudinal analysis
(2)
generalized eigenvalue problem
(2)
generative model
(2)
vision-language model
(2)
domain adaptation
(2)
semantic segmentation
(2)
image generation
(1)
curriculum learning
(1)
object detection
(1)
temporal sequence
(1)
style transfer
(1)
vision transformer
(1)
contrastive learning
(1)
brain connectivity
(1)
medical imaging
(1)
self-supervised learning
(1)
Papers
Anchoring and Rescaling Attention for Semantically Coherent Inbetweening
CVPR 2026
FEAST: Fully Connected Expressive Attention for Spatial Transcriptomics
CVPR 2026
I'm a Map! Interpretable Motion-Attentive Maps: Spatio-Temporally Localizing Concepts in Video Diffusion Transformers
CVPR 2026
ViKey: Enhancing Temporal Understanding in Videos via Visual Prompting
CVPR 2026
Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models
WACV 2025
Distilling Spectral Graph for Object-Context Aware Open-Vocabulary Semantic Segmentation
CVPR 2025
DragText: Rethinking Text Embedding in Point-Based Image Editing
WACV 2025
Mono-Modalizing Extremely Heterogeneous Multi-Modal Medical Image Registration
MICCAI 2025
Pathology-Aware Adaptive Watermarking for Text-Driven Medical Image Synthesis
MICCAI 2025
PLATYPUS: Progressive Local Surface Estimator for Arbitrary-Scale Point Cloud Upsampling
AAAI 2025
PRETI: Patient-Aware Retinal Foundation Model via Metadata-Guided Representation Learning
MICCAI 2025
See What You Are Told: Visual Attention Sink in Large Multimodal Models
ICLR 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
Your Large Vision-Language Model Only Needs A Few Attention Heads For Visual Grounding
CVPR 2025
Advancing Text-Driven Chest X-Ray Generation with Policy-Based Reinforcement Learning
MICCAI 2024
EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation
CVPR 2024
ESPA: An Unsupervised Harmonization Framework via Enhanced Structure Preserving Augmentation
MICCAI 2024
Parameter Efficient Fine Tuning for Multi-scanner PET to PET Reconstruction
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
Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples With Applications to Neuroimaging
ICCV 2019
Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging
UAI 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