Dongwon Kim
15 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Research topics
Machine Learning
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Deep Learning
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Artificial Intelligence
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Computer Vision
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Learning Types Β· Machine Learning
(6)
Core AI
(4)
Learning Types Β· Deep Learning
(3)
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(3)
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Keywords
representation learning
(4)
referring image segmentation
(3)
embedding learning
(3)
metric learning
(3)
slot attention
(2)
semantic segmentation
(2)
multimodal learning
(2)
embedding space
(2)
knowledge transfer
(1)
self-supervised learning
(1)
transformer architecture
(1)
natural language processing
(1)
text-to-image generation
(1)
weakly supervised learning
(1)
contrastive learning
(1)
pseudo labeling
(1)
visual reasoning
(1)
transfer learning
(1)
policy learning
(1)
real-time control
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Papers
Planning in 8 Tokens: A Compact Discrete Tokenizer for Latent World Model
CVPR 2026
SyncMos: Scalable Motion Synchronisation for Multi-Agent Scene Interaction
CVPR 2026
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
Bootstrapping Top-down Information for Self-modulating Slot Attention
NeurIPS 2024
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
Improving Cross-Modal Retrieval With Set of Diverse Embeddings
CVPR 2023
Rethinking Transfer and Auxiliary Learning for Improving Audio Captioning Transformer
Interspeech 2023
Shatter and Gather: Learning Referring Image Segmentation with Text Supervision
ICCV 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