On the (h, k)-domination numbers of iterated line digraphs. - Toru Hasunuma; Mayu Otani (Discret. Appl. Math., 2012)

Video colorization based on optical flow and edge-oriented color propagation. - Mayu Otani; Hirohisa Hioki (Computational Imaging, 2014)

Textual description-based video summarization for video blogs. - Mayu Otani; Yuta Nakashima; Tomokazu Sato; Naokazu Yokoya (ICME, 2015)

Video Summarization Using Deep Semantic Features. - Mayu Otani; Yuta Nakashima; Esa Rahtu; Janne Heikkilä; Naokazu Yokoya (ACCV (5), 2016)

Learning Joint Representations of Videos and Sentences with Web Image Search. - Mayu Otani; Yuta Nakashima; Esa Rahtu; Janne Heikkilä; Naokazu Yokoya (ECCV Workshops (1), 2016)

Video summarization using textual descriptions for authoring video blogs. - Mayu Otani; Yuta Nakashima; Tomokazu Sato; Naokazu Yokoya (Multim. Tools Appl., 2017)

iParaphrasing: Extracting Visually Grounded Paraphrases via an Image. - Chenhui Chu; Mayu Otani; Yuta Nakashima (COLING, 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)

Rethinking the Evaluation of Video Summaries. - Mayu Otani; Yuta Nakashima; Esa Rahtu; Janne Heikkilä (CVPR, 2019)

KnowIT VQA: Answering Knowledge-Based Questions about Videos. - Noa Garcia; Mayu Otani; Chenhui Chu; Yuta Nakashima (AAAI, 2020)

Uncovering Hidden Challenges in Query-Based Video Moment Retrieval. - Mayu Otani; Yuta Nakashima; Esa Rahtu; Janne Heikkilä (BMVC, 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 (ECCV Workshops (2), 2020)

BERT Representations for Video Question Answering. - Zekun Yang; Noa Garcia; Chenhui Chu; Mayu Otani; Yuta Nakashima; Haruo Takemura (WACV, 2020)

Knowledge-Based Visual Question Answering in Videos. - Noa Garcia; Mayu Otani; Chenhui Chu; Yuta Nakashima (CoRR, 2020)

Visually grounded paraphrase identification via gating and phrase localization. - Mayu Otani; Chenhui Chu; Yuta Nakashima (Neurocomputing, 2020)

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 (ACL (student), 2021)

Transferring Domain-Agnostic Knowledge in Video Question Answering. - Tianran Wu; Noa Garcia; Mayu Otani; Chenhui Chu; Yuta Nakashima; Haruo Takemura (BMVC, 2021)

Visual Question Answering with Textual Representations for Images. - Yusuke Hirota; Noa Garcia; Mayu Otani; Chenhui Chu; Yuta Nakashima; Ittetsu Taniguchi; Takao Onoye (ICCVW, 2021)

Constrained Graphic Layout Generation via Latent Optimization. - Kotaro Kikuchi; Edgar Simo-Serra; Mayu Otani; Kota Yamaguchi (ACM Multimedia, 2021)

Scalable Personalised Item Ranking through Parametric Density Estimation. - Riku Togashi; Masahiro Kato; Mayu Otani; Tetsuya Sakai; Shin'ichi Satoh 001 (SIGIR, 2021)

The Laughing Machine: Predicting Humor in Video. - Yuta Kayatani; Zekun Yang; Mayu Otani; Noa Garcia; Chenhui Chu; Yuta Nakashima; Haruo Takemura (WACV, 2021)

Alleviating Cold-Start Problems in Recommendation through Pseudo-Labelling over Knowledge Graph. - Riku Togashi; Mayu Otani; Shin'ichi Satoh 001 (WSDM, 2021)

Density-Ratio Based Personalised Ranking from Implicit Feedback. - Riku Togashi; Masahiro Kato; Mayu Otani; Shin'ichi Satoh 001 (WWW, 2021)

Cross-Lingual Visual Grounding. - Wenjian Dong; Mayu Otani; Noa Garcia; Yuta Nakashima; Chenhui Chu (IEEE Access, 2021)

Modeling Visual Containment for Web Page Layout Optimization. - Kotaro Kikuchi; Mayu Otani; Kota Yamaguchi; Edgar Simo-Serra (Comput. Graph. Forum, 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)

A comparative study of language transformers for video question answering. - Zekun Yang; Noa Garcia; Chenhui Chu; Mayu Otani; Yuta Nakashima; Haruo Takemura (Neurocomputing, 2021)

Optimal Correction Cost for Object Detection Evaluation. - Mayu Otani; Riku Togashi; Yuta Nakashima; Esa Rahtu; Janne Heikkilä; Shin'ichi Satoh 001 (CVPR, 2022)

AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval. - Riku Togashi; Mayu Otani; Yuta Nakashima; Esa Rahtu; Janne Heikkilä; Tetsuya Sakai (CVPR, 2022)

Does Robustness on ImageNet Transfer to Downstream Tasks? - Yutaro Yamada; Mayu Otani (CVPR, 2022)

An Intelligent Color Recommendation Tool for Landing Page Design. - Qianru Qiu; Mayu Otani; Yuki Iwazaki (IUI Companion, 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)

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)

Video Summarization Overview. - Mayu Otani; Yale Song; Yang Wang (Found. Trends Comput. Graph. Vis., 2022)

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)

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 001 (CVPR, 2023)

Coarse-to-fine font recommendation for banner designs. - Daichi Haraguchi; Mayu Otani (IUI Companion, 2023)

Multimodal Color Recommendation in Vector Graphic Documents. - Qianru Qiu; Xueting Wang; Mayu Otani (ACM Multimedia, 2023)

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

Contrastive Losses Are Natural Criteria for Unsupervised Video Summarization. - Zongshang Pang; Yuta Nakashima; Mayu Otani; Hajime Nagahara (WACV, 2023)

Color Recommendation for Vector Graphic Documents based on Multi-Palette Representation. - Qianru Qiu; Xueting Wang; Mayu Otani; Yuki Iwazaki (WACV, 2023)

Would Deep Generative Models Amplify Bias in Future Models? - Tianwei Chen; Yusuke Hirota; Mayu Otani; Noa Garcia; Yuta Nakashima (CVPR, 2024)

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

Robust Nearest Neighbors for Source-Free Domain Adaptation Under Class Distribution Shift. - Antonio Tejero-de-Pablos; Riku Togashi; Mayu Otani; Shin'ichi Satoh 001 (ECCV (72), 2024)

Revisiting Pixel-Level Contrastive Pre-Training on Scene Images. - Zongshang Pang; Yuta Nakashima; Mayu Otani; Hajime Nagahara (WACV, 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)

Harnessing the Latent Diffusion Model for Training-Free Image Style Transfer. - Kento Masui; Mayu Otani; Masahiro Nomura; Hideki Nakayama (CoRR, 2024)

Unleashing the Power of Contrastive Learning for Zero-Shot Video Summarization. - Zongshang Pang; Yuta Nakashima; Mayu Otani; Hajime Nagahara (J. Imaging, 2024)

Measure Twice, Cut Once: Grasping Video Structures and Event Semantics with LLMs for Video Temporal Localization. - Zongshang Pang; Mayu Otani; Yuta Nakashima (CoRR, 2025)