Dongwon Kim
13 papers · 2020–2025 · 7 conferences · across top CS/AI conferences
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Conferences
CVPR (5)
ICCV (2)
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ECCV (1)
INTERSPEECH (1)
NAACL (1)
NIPS (1)
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Keywords
representation learning
(4)
referring image segmentation
(3)
embedding learning
(3)
metric learning
(3)
semantic segmentation
(2)
multi-modal learning
(2)
embedding space
(2)
slot attention
(2)
visual reasoning
(1)
knowledge transfer
(1)
transfer learning
(1)
weakly supervised learning
(1)
natural language
(1)
self-supervised learning
(1)
cross-modal retrieval
(1)
natural language processing
(1)
text-to-image generation
(1)
pairwise similarity
(1)
pseudo labeling
(1)
contrastive learning
(1)
Papers
Democratizing Text-to-Image Masked Generative Models with Compact Text-Aware One-Dimensional Tokens
ICCV 2025
Federated Learning for Feature Generalization with Convex Constraints
ICML 2025
One-Step Generalization Ratio Guided Optimization for Domain Generalization
ICML 2025
Extending CLIPβs Image-Text Alignment to Referring Image Segmentation
NAACL 2024
PLOT: Text-based Person Search with Part Slot Attention for Corresponding Part Discovery
ECCV 2024
Bootstrapping Top-down Information for Self-modulating Slot Attention
NIPS 2024
Shatter and Gather: Learning Referring Image Segmentation with Text Supervision
ICCV 2023
Rethinking Transfer and Auxiliary Learning for Improving Audio Captioning Transformer
INTERSPEECH 2023
Improving Cross-Modal Retrieval With Set of Diverse Embeddings
CVPR 2023
ReSTR: Convolution-Free Referring Image Segmentation Using Transformers
CVPR 2022
Self-Taught Metric Learning Without Labels
CVPR 2022
Embedding Transfer With Label Relaxation for Improved Metric Learning
CVPR 2021
Proxy Anchor Loss for Deep Metric Learning
CVPR 2020