Naoto Inoue
10 papers · 2018–2026 · 5 venues · across top CS/AI venues
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Research topics
Machine Learning
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Learning Types Β· Machine Learning
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Computer Vision
(5)
Artificial Intelligence
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Deep Learning
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Generation
(3)
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Keywords
generative model
(2)
layout generation
(2)
vision-language model
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reinforcement learning
(1)
domain adaptation
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image restoration
(1)
multi-task learning
(1)
weakly supervised learning
(1)
autoregressive generation
(1)
multimodal learning
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document understanding
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conditional generation
(1)
text-to-image generation
(1)
image denoising
(1)
image similarity
(1)
value function approximation
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image processing
(1)
hierarchical structure
(1)
object detection
(1)
image segmentation
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Papers
Training-free Conditional Image Embedding Framework Leveraging Large Vision Language Models
WACV 2026
LayerD: Decomposing Raster Graphic Designs into Layers
ICCV 2025
Type-R: Automatically Retouching Typos for Text-to-Image Generation
CVPR 2025
LayoutFlow: Flow Matching for Layout Generation
ECCV 2024
Retrieval-Augmented Layout Transformer for Content-Aware Layout Generation
CVPR 2024
Generative Colorization of Structured Mobile Web Pages
WACV 2023
LayoutDM: Discrete Diffusion Model for Controllable Layout Generation
CVPR 2023
Towards Flexible Multi-Modal Document Models
CVPR 2023
Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing
AAAI 2019
Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation
CVPR 2018