Anomalous microstructure formed at the interface between copper ribbon and tin-deposited copper plate by ultrasonic bonding. - Masakatsu Maeda; Takaaki Sato; Naoto Inoue; Daisuke Yagi; Yasuo Takahashi (Microelectron. Reliab., 2011)

Object detection refinement using Markov random field based pruning and learning based rescoring. - Naoto Inoue; Ryosuke Furuta; Toshihiko Yamasaki; Kiyoharu Aizawa (ICASSP, 2017)

Multi-label Fashion Image Classification with Minimal Human Supervision. - Naoto Inoue; Edgar Simo-Serra; Toshihiko Yamasaki; Hiroshi Ishikawa 002 (ICCV Workshops, 2017)

Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation. - Naoto Inoue; Ryosuke Furuta; Toshihiko Yamasaki; Kiyoharu Aizawa (CVPR, 2018)

Similar floor plan retrieval featuring multi-task learning of layout type classification and room presence prediction. - Yuki Takada; Naoto Inoue; Toshihiko Yamasaki; Kiyoharu Aizawa (ICCE, 2018)

Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing. - Ryosuke Furuta; Naoto Inoue; Toshihiko Yamasaki (AAAI, 2019)

Fast Instance Segmentation for Line Drawing Vectorization. - Naoto Inoue; Toshihiko Yamasaki (BigMM, 2019)

Learning to Trace: Expressive Line Drawing Generation from Photographs. - Naoto Inoue; Daichi Ito; Ning Xu 007; J. Yang; Brian L. Price; Toshihiko Yamasaki (Comput. Graph. Forum, 2019)

Efficient and interactive spatial-semantic image retrieval. - Ryosuke Furuta; Naoto Inoue; Toshihiko Yamasaki (Multim. Tools Appl., 2019)

Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Translation. - Takehiko Ohkawa; Naoto Inoue; Hirokatsu Kataoka; Nakamasa Inoue (ICPR, 2020)

RGB2AO: Ambient Occlusion Generation from RGB Images. - Naoto Inoue; Daichi Ito; Yannick Hold-Geoffroy; Long Mai; Brian L. Price; Toshihiko Yamasaki (Comput. Graph. Forum, 2020)

PixelRL: Fully Convolutional Network With Reinforcement Learning for Image Processing. - Ryosuke Furuta; Naoto Inoue; Toshihiko Yamasaki (IEEE Trans. Multim., 2020)

Learning From Synthetic Shadows for Shadow Detection and Removal. - Naoto Inoue; Toshihiko Yamasaki (IEEE Trans. Circuits Syst. Video Technol., 2021)

LayoutDM: Discrete Diffusion Model for Controllable Layout Generation. - Naoto Inoue; Kotaro Kikuchi; Edgar Simo-Serra; Mayu Otani; Kota Yamaguchi (CVPR, 2023)

Towards Flexible Multi-modal Document Models. - Naoto Inoue; Kotaro Kikuchi; Edgar Simo-Serra; Mayu Otani; Kota Yamaguchi (CVPR, 2023)

Generative Colorization of Structured Mobile Web Pages. - Kotaro Kikuchi; Naoto Inoue; Mayu Otani; Edgar Simo-Serra; Kota Yamaguchi (WACV, 2023)

Retrieval-Augmented Layout Transformer for Content-Aware Layout Generation. - Daichi Horita; Naoto Inoue; Kotaro Kikuchi; Kota Yamaguchi; Kiyoharu Aizawa (CVPR, 2024)

LayoutFlow: Flow Matching for Layout Generation. - Julian Jorge Andrade Guerreiro; Naoto Inoue; Kento Masui; Mayu Otani; Hideki Nakayama (ECCV (36), 2024)

Can GPTs Evaluate Graphic Design Based on Design Principles? - Daichi Haraguchi; Naoto Inoue; Wataru Shimoda; Hayato Mitani; Seiichi Uchida; Kota Yamaguchi (SIGGRAPH Asia Technical Communications, 2024)

OpenCOLE: Towards Reproducible Automatic Graphic Design Generation. - Naoto Inoue; Kento Masui; Wataru Shimoda; Kota Yamaguchi (CoRR, 2024)

LTSim: Layout Transportation-based Similarity Measure for Evaluating Layout Generation. - Mayu Otani; Naoto Inoue; Kotaro Kikuchi; Riku Togashi (CoRR, 2024)

Multimodal Markup Document Models for Graphic Design Completion. - Kotaro Kikuchi; Naoto Inoue; Mayu Otani; Edgar Simo-Serra; Kota Yamaguchi (CoRR, 2024)

Type-R: Automatically Retouching Typos for Text-to-Image Generation. - Wataru Shimoda; Naoto Inoue; Daichi Haraguchi; Hayato Mitani; Seiichi Uchida; Kota Yamaguchi (CVPR, 2025)

ColorGPT: Leveraging Large Language Models for Multimodal Color Recommendation. - Ding Xia; Naoto Inoue; Qianru Qiu; Kotaro Kikuchi (CoRR, 2025)