Wataru Shimoda

According to our database, Wataru Shimoda authored at least 38 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

OpenCOLE: Towards Reproducible Automatic Graphic Design Generation.

Naoto Inoue, Kento Masui, Wataru Shimoda, Kota Yamaguchi

CoRR, 2024

Total Disentanglement of Font Images into Style and Character Class Features.

Daichi Haraguchi, Wataru Shimoda, Kota Yamaguchi, Seiichi Uchida

CoRR, 2024

Towards Diverse and Consistent Typography Generation.

Wataru Shimoda, Daichi Haraguchi, Seiichi Uchida, Kota Yamaguchi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Can GPTs Evaluate Graphic Design Based on Design Principles?

Daichi Haraguchi, Naoto Inoue, Wataru Shimoda, Hayato Mitani, Seiichi Uchida, Kota Yamaguchi

Proceedings of the SIGGRAPH Asia 2024 Technical Communications, 2024

2023

Image Cropping under Design Constraints.

Takumi Nishiyasu, Wataru Shimoda, Yoichi Sato

Proceedings of the ACM Multimedia Asia 2023, 2023

2021

De-rendering Stylized Texts.

Wataru Shimoda, Daichi Haraguchi, Seiichi Uchida, Kota Yamaguchi

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Weakly supervised semantic segmentation using distinct class specific saliency maps.

Wataru Shimoda, Keiji Yanai

Comput. Vis. Image Underst., 2020

Style Image Retrieval for Improving Material Translation Using Neural Style Transfer.

Gibran Benitez-Garcia, Wataru Shimoda, Keiji Yanai

Proceedings of the 2020 Joint Workshop on Multimedia Artworks Analysis and Attractiveness Computing in Multimedia, 2020

Mask-based Style-Controlled Image Synthesis Using a Mask Style Encoder.

Jaehyeong Cho, Wataru Shimoda, Keiji Yanai

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Weakly-Supervised Plate And Food Region Segmentation.

Wataru Shimoda, Keiji Yanai

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

2019

Webly-Supervised Food Detection with Foodness Proposal.

Wataru Shimoda, Keiji Yanai

IEICE Trans. Inf. Syst., 2019

Unseen Food Creation by Mixing Existing Food Images with Conditional StyleGAN.

Daichi Horita, Wataru Shimoda, Keiji Yanai

Proceedings of the 5th International Workshop on Multimedia Assisted Dietary Management, 2019

A New Large-scale Food Image Segmentation Dataset and Its Application to Food Calorie Estimation Based on Grains of Rice.

Takumi Ege, Wataru Shimoda, Keiji Yanai

Proceedings of the 5th International Workshop on Multimedia Assisted Dietary Management, 2019

Ramen as You Like: Sketch-based Food Image Generation and Editing.

Jaehyeong Cho, Wataru Shimoda, Keiji Yanai

Proceedings of the 27th ACM International Conference on Multimedia, 2019

A Large-Scale Analysis of Regional Tendency of Twitter Photos Using Only Image Features.

Tetsuya Nagano, Takumi Ege, Wataru Shimoda, Keiji Yanai

Proceedings of the 2nd IEEE Conference on Multimedia Information Processing and Retrieval, 2019

Image-Based Estimation of Real Food Size for Accurate Food Calorie Estimation.

Takumi Ege, Yoshikazu Ando, Ryosuke Tanno, Wataru Shimoda, Keiji Yanai

Proceedings of the 2nd IEEE Conference on Multimedia Information Processing and Retrieval, 2019

Partial Image Texture Translation Using Weakly-Supervised Semantic Segmentation.

Gibran Benitez-Garcia, Wataru Shimoda, Shin Matsuo, Keiji Yanai

Proceedings of the New Frontiers in Artificial Intelligence, 2019

Self-Supervised Difference Detection for Weakly-Supervised Semantic Segmentation.

Wataru Shimoda, Keiji Yanai

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Self-supervised Difference Detection for Refinement CRF and Seed Interpolation.

Wataru Shimoda, Keiji Yanai

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

An integration of bottom-up and top-down salient cues on RGB-D data: saliency from objectness versus non-objectness.

Nevrez Imamoglu, Wataru Shimoda, Chi Zhang, Yuming Fang, Asako Kanezaki, Keiji Yanai, Yoshifumi Nishida

Signal Image Video Process., 2018

An Integration of Bottom-up and Top-Down Salient Cues on RGB-D Data: Saliency from Objectness vs. Non-Objectness.

Nevrez Imamoglu, Wataru Shimoda, Chi Zhang, Yuming Fang, Asako Kanezaki, Keiji Yanai, Yoshifumi Nishida

CoRR, 2018

Magical Rice Bowl: A Real-time Food Category Changer.

Ryosuke Tanno, Daichi Horita, Wataru Shimoda, Keiji Yanai

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

GAN-based synthetic brain MR image generation.

Changhee Han, Hideaki Hayashi, Leonardo Rundo, Ryosuke Araki, Wataru Shimoda, Shinichi Muramatsu, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Food image generation using a large amount of food images with conditional GAN: ramenGAN and recipeGAN.

Yoshifumi Ito, Wataru Shimoda, Keiji Yanai

Proceedings of the Joint Workshop on Multimedia for Cooking and Eating Activities and Multimedia Assisted Dietary Management, 2018

Food category transfer with conditional cycleGAN and a large-scale food image dataset.

Daichi Horita, Ryosuke Tanno, Wataru Shimoda, Keiji Yanai

Proceedings of the Joint Workshop on Multimedia for Cooking and Eating Activities and Multimedia Assisted Dietary Management, 2018

Font Style Transfer Using Neural Style Transfer and Unsupervised Cross-domain Transfer.

Atsushi Narusawa, Wataru Shimoda, Keiji Yanai

Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018

2017

Saliency Detection by Forward and Backward Cues in Deep-CNNs.

Nevrez Imamoglu, Chi Zhang, Wataru Shimoda, Yuming Fang, Boxin Shi

CoRR, 2017

DeepStyleCam: A Real-Time Style Transfer App on iOS.

Ryosuke Tanno, Shin Matsuo, Wataru Shimoda, Keiji Yanai

Proceedings of the MultiMedia Modeling - 23rd International Conference, 2017

Partial style transfer using weakly supervised semantic segmentation.

Shin Matsuo, Wataru Shimoda, Keiji Yanai

Proceedings of the 2017 IEEE International Conference on Multimedia & Expo Workshops, 2017

Saliency detection by forward and backward cues in deep-CNN.

Nevrez Imamoglu, Chi Zhang, Wataru Shimoda, Yuming Fang, Boxin Shi

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Learning Food Image Similarity for Food Image Retrieval.

Wataru Shimoda, Keiji Yanai

Proceedings of the Third IEEE International Conference on Multimedia Big Data, 2017

Twitter Photo Geo-Localization Using Both Textual and Visual Features.

Shin Matsuo, Wataru Shimoda, Keiji Yanai

Proceedings of the Third IEEE International Conference on Multimedia Big Data, 2017

Predicting Segmentation "Easiness" from the Consistency for Weakly-Supervised Segmentation.

Wataru Shimoda, Keiji Yanai

Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

2016

Foodness Proposal for Multiple Food Detection by Training of Single Food Images.

Wataru Shimoda, Keiji Yanai

Proceedings of the 2nd International Workshop on Multimedia Assisted Dietary Management, 2016

Weakly-supervised segmentation by combining CNN feature maps and object saliency maps.

Wataru Shimoda, Keiji Yanai

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Distinct Class-Specific Saliency Maps for Weakly Supervised Semantic Segmentation.

Wataru Shimoda, Keiji Yanai

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

A visual analysis on recognizability and discriminability of onomatopoeia words with DCNN features.

Wataru Shimoda, Keiji Yanai

Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015

CNN-Based Food Image Segmentation Without Pixel-Wise Annotation.

Wataru Shimoda, Keiji Yanai

Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2015 Workshops, 2015