Mayu Otani

According to our database, Mayu Otani authored at least 49 papers between 2012 and 2024.

Collaborative distances:

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

2024

Harnessing the Latent Diffusion Model for Training-Free Image Style Transfer.

Kento Masui, Mayu Otani, Masahiro Nomura, Hideki Nakayama

CoRR, 2024

Multimodal Markup Document Models for Graphic Design Completion.

Kotaro Kikuchi, Naoto Inoue, Mayu Otani, Edgar Simo-Serra, Kota Yamaguchi

CoRR, 2024

LTSim: Layout Transportation-based Similarity Measure for Evaluating Layout Generation.

Mayu Otani, Naoto Inoue, Kotaro Kikuchi, Riku Togashi

CoRR, 2024

Revisiting Pixel-Level Contrastive Pre-Training on Scene Images.

Zongshang Pang, Yuta Nakashima, Mayu Otani, Hajime Nagahara

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

Robust Nearest Neighbors for Source-Free Domain Adaptation Under Class Distribution Shift.

Antonio Tejero-de-Pablos, Riku Togashi, Mayu Otani, Shin'ichi Satoh

Proceedings of the Computer Vision - ECCV 2024, 2024

LayoutFlow: Flow Matching for Layout Generation.

Julian Jorge Andrade Guerreiro, Naoto Inoue, Kento Masui, Mayu Otani, Hideki Nakayama

Proceedings of the Computer Vision - ECCV 2024, 2024

Would Deep Generative Models Amplify Bias in Future Models?

Tianwei Chen, Yusuke Hirota, Mayu Otani, Noa Garcia, Yuta Nakashima

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Color Recommendation for Vector Graphic Documents based on Multi-Palette Representation.

Qianru Qiu, Xueting Wang, Mayu Otani, Yuki Iwazaki

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Contrastive Losses Are Natural Criteria for Unsupervised Video Summarization.

Zongshang Pang, Yuta Nakashima, Mayu Otani, Hajime Nagahara

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Generative Colorization of Structured Mobile Web Pages.

Kotaro Kikuchi, Naoto Inoue, Mayu Otani, Edgar Simo-Serra, Kota Yamaguchi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Multimodal Color Recommendation in Vector Graphic Documents.

Qianru Qiu, Xueting Wang, Mayu Otani

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Coarse-to-fine font recommendation for banner designs.

Daichi Haraguchi, Mayu Otani

Proceedings of the Companion Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation.

Mayu Otani, Riku Togashi, Yu Sawai, Ryosuke Ishigami, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Shin'ichi Satoh

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Towards Flexible Multi-modal Document Models.

Naoto Inoue, Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

LayoutDM: Discrete Diffusion Model for Controllable Layout Generation.

Naoto Inoue, Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Video Summarization Overview.

Mayu Otani, Yale Song, Yang Wang

Found. Trends Comput. Graph. Vis., 2022

The semantic typology of visually grounded paraphrases.

Chenhui Chu, Vinícius Oliveira, Felix Giovanni Virgo, Mayu Otani, Noa Garcia, Yuta Nakashima

Comput. Vis. Image Underst., 2022

Learning More May Not Be Better: Knowledge Transferability in Vision and Language Tasks.

Tianwei Chen, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima, Hajime Nagahara

CoRR, 2022

An Intelligent Color Recommendation Tool for Landing Page Design.

Qianru Qiu, Mayu Otani, Yuki Iwazaki

Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22 - 25, 2022, 2022

Does Robustness on ImageNet Transfer to Downstream Tasks?

Yutaro Yamada, Mayu Otani

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval.

Riku Togashi, Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Tetsuya Sakai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Optimal Correction Cost for Object Detection Evaluation.

Mayu Otani, Riku Togashi, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Shin'ichi Satoh

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

A comparative study of language transformers for video question answering.

Zekun Yang, Noa Garcia, Chenhui Chu, Mayu Otani, Yuta Nakashima, Haruo Takemura

Neurocomputing, 2021

A Picture May Be Worth a Hundred Words for Visual Question Answering.

Yusuke Hirota, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima, Ittetsu Taniguchi, Takao Onoye

CoRR, 2021

Modeling Visual Containment for Web Page Layout Optimization.

Kotaro Kikuchi, Mayu Otani, Kota Yamaguchi, Edgar Simo-Serra

Comput. Graph. Forum, 2021

Cross-Lingual Visual Grounding.

Wenjian Dong, Mayu Otani, Noa Garcia, Yuta Nakashima, Chenhui Chu

IEEE Access, 2021

Density-Ratio Based Personalised Ranking from Implicit Feedback.

Riku Togashi, Masahiro Kato, Mayu Otani, Shin'ichi Satoh

Proceedings of the WWW '21: The Web Conference 2021, 2021

Alleviating Cold-Start Problems in Recommendation through Pseudo-Labelling over Knowledge Graph.

Riku Togashi, Mayu Otani, Shin'ichi Satoh

Proceedings of the WSDM '21, 2021

The Laughing Machine: Predicting Humor in Video.

Yuta Kayatani, Zekun Yang, Mayu Otani, Noa Garcia, Chenhui Chu, Yuta Nakashima, Haruo Takemura

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Scalable Personalised Item Ranking through Parametric Density Estimation.

Riku Togashi, Masahiro Kato, Mayu Otani, Tetsuya Sakai, Shin'ichi Satoh

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Constrained Graphic Layout Generation via Latent Optimization.

Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Visual Question Answering with Textual Representations for Images.

Yusuke Hirota, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima, Ittetsu Taniguchi, Takao Onoye

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

Transferring Domain-Agnostic Knowledge in Video Question Answering.

Tianran Wu, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima, Haruo Takemura

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Attending Self-Attention: A Case Study of Visually Grounded Supervision in Vision-and-Language Transformers.

Jules Samaran, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima

Proceedings of the ACL-IJCNLP 2021 Student Research Workshop, 2021

2020

Visually grounded paraphrase identification via gating and phrase localization.

Mayu Otani, Chenhui Chu, Yuta Nakashima

Neurocomputing, 2020

Knowledge-Based Visual Question Answering in Videos.

Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima

CoRR, 2020

BERT Representations for Video Question Answering.

Zekun Yang, Noa Garcia, Chenhui Chu, Mayu Otani, Yuta Nakashima, Haruo Takemura

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

A Dataset and Baselines for Visual Question Answering on Art.

Noa Garcia, Chentao Ye, Zihua Liu, Qingtao Hu, Mayu Otani, Chenhui Chu, Yuta Nakashima, Teruko Mitamura

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Uncovering Hidden Challenges in Query-Based Video Moment Retrieval.

Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä

Proceedings of the 31st British Machine Vision Conference 2020, 2020

KnowIT VQA: Answering Knowledge-Based Questions about Videos.

Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Rethinking the Evaluation of Video Summaries.

Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä

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

2018

Finding Important People in a Video Using Deep Neural Networks with Conditional Random Fields.

Mayu Otani, Atsushi Nishida, Yuta Nakashima, Tomokazu Sato, Naokazu Yokoya

IEICE Trans. Inf. Syst., 2018

iParaphrasing: Extracting Visually Grounded Paraphrases via an Image.

Chenhui Chu, Mayu Otani, Yuta Nakashima

Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017

Video summarization using textual descriptions for authoring video blogs.

Mayu Otani, Yuta Nakashima, Tomokazu Sato, Naokazu Yokoya

Multim. Tools Appl., 2017

2016

Learning Joint Representations of Videos and Sentences with Web Image Search.

Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Naokazu Yokoya

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Video Summarization Using Deep Semantic Features.

Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Naokazu Yokoya

Proceedings of the Computer Vision - ACCV 2016, 2016

2015

Textual description-based video summarization for video blogs.

Mayu Otani, Yuta Nakashima, Tomokazu Sato, Naokazu Yokoya

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

2014

Video colorization based on optical flow and edge-oriented color propagation.

Mayu Otani, Hirohisa Hioki

Proceedings of the Computational Imaging XII, 2014

2012

On the (h, k)-domination numbers of iterated line digraphs.

Toru Hasunuma, Mayu Otani

Discret. Appl. Math., 2012