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2020 – today
- 2025
[i32]Zongshang Pang, Mayu Otani, Yuta Nakashima:
Measure Twice, Cut Once: Grasping Video Structures and Event Semantics with LLMs for Video Temporal Localization. CoRR abs/2503.09027 (2025)- 2024
- [j10]Zongshang Pang
, Yuta Nakashima, Mayu Otani, Hajime Nagahara:
Unleashing the Power of Contrastive Learning for Zero-Shot Video Summarization. J. Imaging 10(9): 229 (2024) - [c34]Tianwei Chen, Yusuke Hirota, Mayu Otani, Noa Garcia, Yuta Nakashima:
Would Deep Generative Models Amplify Bias in Future Models? CVPR 2024: 10833-10843 - [c33]Antonio Tejero-de-Pablos, Riku Togashi, Mayu Otani, Shin'ichi Satoh:
Robust Nearest Neighbors for Source-Free Domain Adaptation Under Class Distribution Shift. ECCV (72) 2024: 1-17 - [c32]Julian Jorge Andrade Guerreiro, Naoto Inoue, Kento Masui, Mayu Otani, Hideki Nakayama:
LayoutFlow: Flow Matching for Layout Generation. ECCV (36) 2024: 56-72 - [c31]Zongshang Pang, Yuta Nakashima, Mayu Otani, Hajime Nagahara:
Revisiting Pixel-Level Contrastive Pre-Training on Scene Images. WACV 2024: 1773-1782 - [i31]Julian Jorge Andrade Guerreiro, Naoto Inoue, Kento Masui, Mayu Otani, Hideki Nakayama:
LayoutFlow: Flow Matching for Layout Generation. CoRR abs/2403.18187 (2024) - [i30]Tianwei Chen, Yusuke Hirota, Mayu Otani, Noa Garcia, Yuta Nakashima:
Would Deep Generative Models Amplify Bias in Future Models? CoRR abs/2404.03242 (2024) - [i29]Mayu Otani, Naoto Inoue, Kotaro Kikuchi, Riku Togashi:
LTSim: Layout Transportation-based Similarity Measure for Evaluating Layout Generation. CoRR abs/2407.12356 (2024) - [i28]Kotaro Kikuchi, Naoto Inoue, Mayu Otani, Edgar Simo-Serra, Kota Yamaguchi:
Multimodal Markup Document Models for Graphic Design Completion. CoRR abs/2409.19051 (2024) - [i27]Kento Masui, Mayu Otani, Masahiro Nomura, Hideki Nakayama:
Harnessing the Latent Diffusion Model for Training-Free Image Style Transfer. CoRR abs/2410.01366 (2024) - 2023
- [c30]Naoto Inoue, Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi:
LayoutDM: Discrete Diffusion Model for Controllable Layout Generation. CVPR 2023: 10167-10176 - [c29]Mayu Otani, Riku Togashi, Yu Sawai, Ryosuke Ishigami, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Shin'ichi Satoh:
Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation. CVPR 2023: 14277-14286 - [c28]Naoto Inoue, Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi:
Towards Flexible Multi-modal Document Models. CVPR 2023: 14287-14296 - [c27]Daichi Haraguchi, Mayu Otani:
Coarse-to-fine font recommendation for banner designs. IUI Companion 2023: 148-150 - [c26]Qianru Qiu, Xueting Wang, Mayu Otani:
Multimodal Color Recommendation in Vector Graphic Documents. ACM Multimedia 2023: 4003-4011 - [c25]Zongshang Pang, Yuta Nakashima, Mayu Otani, Hajime Nagahara:
Contrastive Losses Are Natural Criteria for Unsupervised Video Summarization. WACV 2023: 2009-2018 - [c24]Qianru Qiu, Xueting Wang, Mayu Otani, Yuki Iwazaki:
Color Recommendation for Vector Graphic Documents based on Multi-Palette Representation. WACV 2023: 3610-3618 - [c23]Kotaro Kikuchi, Naoto Inoue, Mayu Otani, Edgar Simo-Serra, Kota Yamaguchi:
Generative Colorization of Structured Mobile Web Pages. WACV 2023: 3639-3648 - [i26]Naoto Inoue, Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi:
LayoutDM: Discrete Diffusion Model for Controllable Layout Generation. CoRR abs/2303.08137 (2023) - [i25]Naoto Inoue, Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi:
Towards Flexible Multi-modal Document Models. CoRR abs/2303.18248 (2023) - [i24]Mayu Otani, Riku Togashi, Yu Sawai, Ryosuke Ishigami, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Shin'ichi Satoh:
Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation. CoRR abs/2304.01816 (2023) - [i23]Qianru Qiu, Xueting Wang, Mayu Otani:
Multimodal Color Recommendation in Vector Graphic Documents. CoRR abs/2308.04118 (2023) - 2022
- [j9]Chenhui Chu, Vinícius Oliveira, Felix Giovanni Virgo, Mayu Otani, Noa Garcia, Yuta Nakashima:
The semantic typology of visually grounded paraphrases. Comput. Vis. Image Underst. 215: 103333 (2022) - [j8]Mayu Otani, Yale Song, Yang Wang:
Video Summarization Overview. Found. Trends Comput. Graph. Vis. 13(4): 284-335 (2022) - [c22]Yutaro Yamada, Mayu Otani:
Does Robustness on ImageNet Transfer to Downstream Tasks? CVPR 2022: 9205-9214 - [c21]Riku Togashi, Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Tetsuya Sakai:
AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval. CVPR 2022: 21044-21053 - [c20]Mayu Otani, Riku Togashi, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Shin'ichi Satoh:
Optimal Correction Cost for Object Detection Evaluation. CVPR 2022: 21075-21083 - [c19]Qianru Qiu, Mayu Otani, Yuki Iwazaki:
An Intelligent Color Recommendation Tool for Landing Page Design. IUI Companion 2022: 26-29 - [i22]Mayu Otani, Riku Togashi, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Shin'ichi Satoh:
Optimal Correction Cost for Object Detection Evaluation. CoRR abs/2203.14438 (2022) - [i21]Riku Togashi, Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Tetsuya Sakai:
AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval. CoRR abs/2203.16062 (2022) - [i20]Yutaro Yamada, Mayu Otani:
Does Robustness on ImageNet Transfer to Downstream Tasks? CoRR abs/2204.03934 (2022) - [i19]Tianwei Chen, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima, Hajime Nagahara:
Learning More May Not Be Better: Knowledge Transferability in Vision and Language Tasks. CoRR abs/2208.10758 (2022) - [i18]Qianru Qiu, Xueting Wang, Mayu Otani, Yuki Iwazaki:
Color Recommendation for Vector Graphic Documents based on Multi-Palette Representation. CoRR abs/2209.10820 (2022) - [i17]Mayu Otani, Yale Song, Yang Wang:
Video Summarization Overview. CoRR abs/2210.11707 (2022) - [i16]Zongshang Pang, Yuta Nakashima, Mayu Otani, Hajime Nagahara:
Contrastive Losses Are Natural Criteria for Unsupervised Video Summarization. CoRR abs/2211.10056 (2022) - [i15]Kotaro Kikuchi, Naoto Inoue, Mayu Otani, Edgar Simo-Serra, Kota Yamaguchi:
Generative Colorization of Structured Mobile Web Pages. CoRR abs/2212.11541 (2022) - 2021
- [j7]Wenjian Dong, Mayu Otani, Noa Garcia, Yuta Nakashima, Chenhui Chu:
Cross-Lingual Visual Grounding. IEEE Access 9: 349-358 (2021) - [j6]Kotaro Kikuchi, Mayu Otani, Kota Yamaguchi, Edgar Simo-Serra:
Modeling Visual Containment for Web Page Layout Optimization. Comput. Graph. Forum 40(7): 33-44 (2021) - [j5]Zekun Yang, Noa Garcia, Chenhui Chu, Mayu Otani, Yuta Nakashima, Haruo Takemura:
A comparative study of language transformers for video question answering. Neurocomputing 445: 121-133 (2021) - [c18]Jules Samaran, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima:
Attending Self-Attention: A Case Study of Visually Grounded Supervision in Vision-and-Language Transformers. ACL (student) 2021: 81-86 - [c17]Tianran Wu, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima, Haruo Takemura:
Transferring Domain-Agnostic Knowledge in Video Question Answering. BMVC 2021: 301 - [c16]Yusuke Hirota, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima, Ittetsu Taniguchi, Takao Onoye:
Visual Question Answering with Textual Representations for Images. ICCVW 2021: 3147-3150 - [c15]Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi:
Constrained Graphic Layout Generation via Latent Optimization. ACM Multimedia 2021: 88-96 - [c14]Riku Togashi, Masahiro Kato, Mayu Otani, Tetsuya Sakai, Shin'ichi Satoh:
Scalable Personalised Item Ranking through Parametric Density Estimation. SIGIR 2021: 921-931 - [c13]Yuta Kayatani, Zekun Yang, Mayu Otani, Noa Garcia, Chenhui Chu, Yuta Nakashima, Haruo Takemura:
The Laughing Machine: Predicting Humor in Video. WACV 2021: 2072-2081 - [c12]Riku Togashi, Mayu Otani, Shin'ichi Satoh:
Alleviating Cold-Start Problems in Recommendation through Pseudo-Labelling over Knowledge Graph. WSDM 2021: 931-939 - [c11]Riku Togashi, Masahiro Kato, Mayu Otani, Shin'ichi Satoh:
Density-Ratio Based Personalised Ranking from Implicit Feedback. WWW 2021: 3221-3233 - [i14]Riku Togashi, Masahiro Kato, Mayu Otani, Shin'ichi Satoh:
Density-Ratio Based Personalised Ranking from Implicit Feedback. CoRR abs/2101.07481 (2021) - [i13]Riku Togashi, Masahiro Kato, Mayu Otani, Tetsuya Sakai, Shin'ichi Satoh:
Scalable Personalised Item Ranking through Parametric Density Estimation. CoRR abs/2105.04769 (2021) - [i12]Yusuke Hirota, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima, Ittetsu Taniguchi, Takao Onoye:
A Picture May Be Worth a Hundred Words for Visual Question Answering. CoRR abs/2106.13445 (2021) - [i11]Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi:
Constrained Graphic Layout Generation via Latent Optimization. CoRR abs/2108.00871 (2021) - [i10]Tianran Wu, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima, Haruo Takemura:
Transferring Domain-Agnostic Knowledge in Video Question Answering. CoRR abs/2110.13395 (2021) - 2020
- [j4]Mayu Otani, Chenhui Chu, Yuta Nakashima:
Visually grounded paraphrase identification via gating and phrase localization. Neurocomputing 404: 165-172 (2020) - [c10]Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima:
KnowIT VQA: Answering Knowledge-Based Questions about Videos. AAAI 2020: 10826-10834 - [c9]Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä:
Uncovering Hidden Challenges in Query-Based Video Moment Retrieval. BMVC 2020 - [c8]Noa Garcia, Chentao Ye, Zihua Liu, Qingtao Hu, Mayu Otani, Chenhui Chu, Yuta Nakashima, Teruko Mitamura:
A Dataset and Baselines for Visual Question Answering on Art. ECCV Workshops (2) 2020: 92-108 - [c7]Zekun Yang, Noa Garcia, Chenhui Chu, Mayu Otani, Yuta Nakashima, Haruo Takemura:
BERT Representations for Video Question Answering. WACV 2020: 1545-1554 - [i9]Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima:
Knowledge-Based Visual Question Answering in Videos. CoRR abs/2004.08385 (2020) - [i8]Noa Garcia, Chentao Ye, Zihua Liu, Qingtao Hu, Mayu Otani, Chenhui Chu, Yuta Nakashima, Teruko Mitamura:
A Dataset and Baselines for Visual Question Answering on Art. CoRR abs/2008.12520 (2020) - [i7]Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä:
Uncovering Hidden Challenges in Query-Based Video Moment Retrieval. CoRR abs/2009.00325 (2020) - [i6]Riku Togashi, Mayu Otani, Shin'ichi Satoh:
Alleviating Cold-Start Problems in Recommendation through Pseudo-Labelling over Knowledge Graph. CoRR abs/2011.05061 (2020)
2010 – 2019
- 2019
- [c6]Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä:
Rethinking the Evaluation of Video Summaries. CVPR 2019: 7596-7604 - [i5]Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä:
Rethinking the Evaluation of Video Summaries. CoRR abs/1903.11328 (2019) - [i4]Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima:
KnowIT VQA: Answering Knowledge-Based Questions about Videos. CoRR abs/1910.10706 (2019) - 2018
- [j3]Mayu Otani, Atsushi Nishida, Yuta Nakashima, Tomokazu Sato, Naokazu Yokoya:
Finding Important People in a Video Using Deep Neural Networks with Conditional Random Fields. IEICE Trans. Inf. Syst. 101-D(10): 2509-2517 (2018) - [c5]Chenhui Chu, Mayu Otani, Yuta Nakashima:
iParaphrasing: Extracting Visually Grounded Paraphrases via an Image. COLING 2018: 3479-3492 - [i3]Chenhui Chu, Mayu Otani, Yuta Nakashima:
iParaphrasing: Extracting Visually Grounded Paraphrases via an Image. CoRR abs/1806.04284 (2018) - 2017
- [j2]Mayu Otani, Yuta Nakashima, Tomokazu Sato, Naokazu Yokoya:
Video summarization using textual descriptions for authoring video blogs. Multim. Tools Appl. 76(9): 12097-12115 (2017) - 2016
- [c4]Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Naokazu Yokoya:
Video Summarization Using Deep Semantic Features. ACCV (5) 2016: 361-377 - [c3]Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Naokazu Yokoya:
Learning Joint Representations of Videos and Sentences with Web Image Search. ECCV Workshops (1) 2016: 651-667 - [i2]Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Naokazu Yokoya:
Learning Joint Representations of Videos and Sentences with Web Image Search. CoRR abs/1608.02367 (2016) - [i1]Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Naokazu Yokoya:
Video Summarization using Deep Semantic Features. CoRR abs/1609.08758 (2016) - 2015
- [c2]Mayu Otani, Yuta Nakashima, Tomokazu Sato, Naokazu Yokoya:
Textual description-based video summarization for video blogs. ICME 2015: 1-6 - 2014
- [c1]Mayu Otani, Hirohisa Hioki:
Video colorization based on optical flow and edge-oriented color propagation. Computational Imaging 2014: 902002 - 2012
- [j1]Toru Hasunuma, Mayu Otani:
On the (h, k)-domination numbers of iterated line digraphs. Discret. Appl. Math. 160(12): 1859-1863 (2012)
Coauthor Index
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