Byung-Woo Hong
9 papers · 2013–2026 · 4 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver π Academic Marathon Β· Half πΊοΈ Taxonomy Completionist (17) π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze
π
Keyword Champion
(2)
π
Conference Pioneer
Venues
Top co-authors
Research topics
Computer Vision
(8)
Machine Learning
(5)
Deep Learning
(4)
Analysis
(4)
Processing
(4)
Mathematics & Optimization
(3)
Learning Types Β· Machine Learning
(3)
Optimization
(3)
Application Areas
(2)
Models
(2)
Core AI
(1)
Core Methods
(1)
Domain-Specific
(1)
Learning Types Β· Deep Learning
(1)
Optimization & Theory
(1)
Keywords
test-time adaptation
(2)
convex optimization
(2)
multi-label segmentation
(2)
image segmentation
(2)
motion segmentation
(2)
monocular depth estimation
(2)
energy-based model
(2)
distribution shift
(1)
iterative refinement
(1)
energy minimization
(1)
image denoising
(1)
covariate shift
(1)
continuous optimization
(1)
multi-label classification
(1)
energy optimization
(1)
linear transformation
(1)
scale space
(1)
diffusion model
(1)
medical image segmentation
(1)
zero-shot learning
(1)
Papers
Iris: Integrating Language into Diffusion-based Monocular Depth Estimation
CVPR 2026
ETA: Energy-based Test-time Adaptation for Depth Completion
ICCV 2025
Progressive Test Time Energy Adaptation for Medical Image Segmentation
ICCV 2025
RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions
NeurIPS 2024
Monitored Distillation for Positive Congruent Depth Completion
ECCV 2022
Unsupervised Segmentation Incorporating Shape Prior via Generative Adversarial Networks
ICCV 2021
Coarse-To-Fine Segmentation With Shape-Tailored Continuum Scale Spaces
CVPR 2017
FAST LABEL: Easy and Efficient Solution of Joint Multi-Label and Estimation Problems
CVPR 2014
A New Model and Simple Algorithms for Multi-label Mumford-Shah Problems
CVPR 2013