Junbum Cha
8 papers · 2020–2024 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (18) 🐣 Hot Topic Early Bird 🔥 Unstoppable · Bronze
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Research topics
Machine Learning
(6)
Deep Learning
(4)
Learning Types · Deep Learning
(4)
Artificial Intelligence
(3)
Computer Vision
(3)
Application Areas
(3)
Core AI
(2)
Core Methods
(2)
Generation · Computer Vision
(2)
Learning Types · Machine Learning
(2)
Natural Language Processing
(1)
Analysis
(1)
Generation · Natural Language Processing
(1)
Learning Paradigms
(1)
Models
(1)
Keywords
few-shot learning
(2)
font generation
(2)
zero-shot learning
(1)
semantic segmentation
(1)
multi-task learning
(1)
image generation
(1)
domain generalization
(1)
matrix factorization
(1)
graph matching
(1)
style transfer
(1)
computational efficiency
(1)
instruction tuning
(1)
empirical risk minimization
(1)
disentangled representation
(1)
image-text pair
(1)
stochastic weight averaging
(1)
multimodal large language model
(1)
generalization gap
(1)
flat minima
(1)
visual understanding
(1)
Papers
Honeybee: Locality-enhanced Projector for Multimodal LLM
CVPR 2024
Learning To Generate Text-Grounded Mask for Open-World Semantic Segmentation From Only Image-Text Pairs
CVPR 2023
Domain Generalization by Mutual-Information Regularization with Pre-trained Models
ECCV 2022
Few-shot Font Generation with Localized Style Representations and Factorization
AAAI 2021
Multiple Heads Are Better Than One: Few-Shot Font Generation With Multiple Localized Experts
ICCV 2021
SWAD: Domain Generalization by Seeking Flat Minima
NeurIPS 2021
Few-shot Compositional Font Generation with Dual Memory
ECCV 2020
Scale down Transformer by Grouping Features for a Lightweight Character-level Language Model
COLING 2020