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Journal Articles
- 2024
[j7]Tianwei Chen
, Noa Garcia, Liangzhi Li, Yuta Nakashima:
Exploring Emotional Stimuli Detection in Artworks: A Benchmark Dataset and Baselines Evaluation. J. Imaging 10(6): 136 (2024)- [j6]Yankun Wu, Yuta Nakashima, Noa Garcia:
GOYA: Leveraging Generative Art for Content-Style Disentanglement. J. Imaging 10(7): 156 (2024) - 2022
- [j5]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) - 2021
- [j4]Wenjian Dong, Mayu Otani, Noa Garcia, Yuta Nakashima, Chenhui Chu:
Cross-Lingual Visual Grounding. IEEE Access 9: 349-358 (2021) - [j3]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) - 2020
- [j2]Noa Garcia, Benjamin Renoust, Yuta Nakashima:
ContextNet: representation and exploration for painting classification and retrieval in context. Int. J. Multim. Inf. Retr. 9(1): 17-30 (2020) - 2019
- [j1]Noa Garcia, George Vogiatzis:
Learning non-metric visual similarity for image retrieval. Image Vis. Comput. 82: 18-25 (2019)
Conference and Workshop Papers
- 2024
- [c31]Wangyue Li, Liangzhi Li, Tong Xiang, Xiao Liu, Wei Deng, Noa Garcia:
Can Multiple-choice Questions Really Be Useful in Detecting the Abilities of LLMs? LREC/COLING 2024: 2819-2834 - [c30]Tianwei Chen, Yusuke Hirota, Mayu Otani, Noa Garcia, Yuta Nakashima:
Would Deep Generative Models Amplify Bias in Future Models? CVPR 2024: 10833-10843 - [c29]Warren Leu, Yuta Nakashima, Noa Garcia:
Auditing Image-based NSFW Classifiers for Content Filtering. FAccT 2024: 1163-1173 - [c28]Tianwei Chen, Noa Garcia, Liangzhi Li, Yuta Nakashima:
Retrieving Emotional Stimuli in Artworks. ICMR 2024: 515-523 - [c27]Yankun Wu, Yuta Nakashima, Noa Garcia, Sheng Li, Zhaoyang Zeng:
Reproducibility Companion Paper: Stable Diffusion for Content-Style Disentanglement in Art Analysis. ICMR 2024: 1228-1231 - [c26]Marc A. Kastner, Gullal S. Cheema, Sherzod Hakimov, Noa Garcia:
MUWS 2024: The 3rd International Workshop on Multimodal Human Understanding for the Web and Social Media. ICMR 2024: 1342-1344 - 2023
- [c25]Gullal S. Cheema, Sherzod Hakimov, Marc A. Kastner, Noa Garcia:
MUWS'2023: The 2nd International Workshop on Multimodal Human Understanding for the Web and Social Media. CIKM 2023: 5263-5266 - [c24]Noa Garcia, Yusuke Hirota, Yankun Wu, Yuta Nakashima:
Uncurated Image-Text Datasets: Shedding Light on Demographic Bias. CVPR 2023: 6957-6966 - [c23]Yusuke Hirota, Yuta Nakashima, Noa Garcia:
Model-Agnostic Gender Debiased Image Captioning. CVPR 2023: 15191-15200 - [c22]Yankun Wu, Yuta Nakashima, Noa Garcia:
Not Only Generative Art: Stable Diffusion for Content-Style Disentanglement in Art Analysis. ICMR 2023: 199-208 - [c21]Tong Xiang, Liangzhi Li, Wangyue Li, Mingbai Bai, Lu Wei, Bowen Wang, Noa Garcia:
CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care. NeurIPS 2023 - 2022
- [c20]Yusuke Hirota, Yuta Nakashima, Noa Garcia:
Quantifying Societal Bias Amplification in Image Captioning. CVPR 2022: 13440-13449 - [c19]Yusuke Hirota, Yuta Nakashima, Noa Garcia:
Gender and Racial Bias in Visual Question Answering Datasets. FAccT 2022: 1280-1292 - 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]Zechen Bai, Yuta Nakashima, Noa Garcia:
Explain Me the Painting: Multi-Topic Knowledgeable Art Description Generation. ICCV 2021: 5402-5412 - [c15]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 - [c14]Cheikh Brahim El Vaigh, Noa Garcia, Benjamin Renoust, Chenhui Chu, Yuta Nakashima, Hajime Nagahara:
GCNBoost: Artwork Classification by Label Propagation through a Knowledge Graph. ICMR 2021: 92-100 - [c13]Nikolaos-Antonios Ypsilantis, Noa Garcia, Guangxing Han, Sarah Ibrahimi, Nanne van Noord, Giorgos Tolias:
The Met Dataset: Instance-level Recognition for Artworks. NeurIPS Datasets and Benchmarks 2021 - [c12]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 - 2020
- [c11]Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima:
KnowIT VQA: Answering Knowledge-Based Questions about Videos. AAAI 2020: 10826-10834 - [c10]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 - [c9]Nikolai Huckle, Noa Garcia, Yuta Nakashima:
Demographic Influences on Contemporary Art with Unsupervised Style Embeddings. ECCV Workshops (2) 2020: 126-142 - [c8]Noa Garcia, Yuta Nakashima:
Knowledge-Based Video Question Answering with Unsupervised Scene Descriptions. ECCV (18) 2020: 581-598 - [c7]Zekun Yang, Noa Garcia, Chenhui Chu, Mayu Otani, Yuta Nakashima, Haruo Takemura:
BERT Representations for Video Question Answering. WACV 2020: 1545-1554 - 2019
- [c6]Noa Garcia, Benjamin Renoust, Yuta Nakashima:
Context-Aware Embeddings for Automatic Art Analysis. ICMR 2019: 25-33 - [c5]Benjamin Renoust, Matheus Oliveira Franca, Jacob Chan, Noa Garcia, Van Le, Ayaka Uesaka, Yuta Nakashima, Hajime Nagahara, Jueren Wang, Yutaka Fujioka:
Historical and Modern Features for Buddha Statue Classification. SUMAC @ ACM Multimedia 2019: 23-30 - 2018
- [c4]Noa Garcia, George Vogiatzis:
Asymmetric Spatio-Temporal Embeddings for Large-Scale Image-to-Video Retrieval. BMVC 2018: 206 - [c3]Noa Garcia, George Vogiatzis:
How to Read Paintings: Semantic Art Understanding with Multi-modal Retrieval. ECCV Workshops (2) 2018: 676-691 - [c2]Noa Garcia:
Temporal Aggregation of Visual Features for Large-Scale Image-to-Video Retrieval. ICMR 2018: 489-492 - 2017
- [c1]Noa Garcia, George Vogiatzis:
Dress Like a Star: Retrieving Fashion Products from Videos. ICCV Workshops 2017: 2293-2299
Editorship
- 2023
- [e1]Gullal S. Cheema, Sherzod Hakimov, Marc A. Kastner, Noa Garcia:
Proceedings of the 2nd International Workshop on Multimodal Human Understanding for the Web and Social Media co-located with the 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023), Birmingham, United Kingdom, October 22, 2023. CEUR Workshop Proceedings 3566, CEUR-WS.org 2023 [contents]
Informal and Other Publications
- 2024
- [i29]Wangyue Li, Liangzhi Li, Tong Xiang, Xiao Liu, Wei Deng, Noa Garcia:
Can multiple-choice questions really be useful in detecting the abilities of LLMs? CoRR abs/2403.17752 (2024) - [i28]Tianwei Chen, Yusuke Hirota, Mayu Otani, Noa Garcia, Yuta Nakashima:
Would Deep Generative Models Amplify Bias in Future Models? CoRR abs/2404.03242 (2024) - [i27]Xiao Liu, Liangzhi Li, Tong Xiang, Fuying Ye, Lu Wei, Wangyue Li, Noa Garcia:
Imposter.AI: Adversarial Attacks with Hidden Intentions towards Aligned Large Language Models. CoRR abs/2407.15399 (2024) - [i26]Yankun Wu, Yuta Nakashima, Noa Garcia:
Gender Bias Evaluation in Text-to-image Generation: A Survey. CoRR abs/2408.11358 (2024) - 2023
- [i25]Noa Garcia, Yusuke Hirota, Yankun Wu, Yuta Nakashima:
Uncurated Image-Text Datasets: Shedding Light on Demographic Bias. CoRR abs/2304.02828 (2023) - [i24]Yusuke Hirota, Yuta Nakashima, Noa Garcia:
Model-Agnostic Gender Debiased Image Captioning. CoRR abs/2304.03693 (2023) - [i23]Yankun Wu, Yuta Nakashima, Noa Garcia:
Not Only Generative Art: Stable Diffusion for Content-Style Disentanglement in Art Analysis. CoRR abs/2304.10278 (2023) - [i22]Tong Xiang, Liangzhi Li, Wangyue Li, Mingbai Bai, Lu Wei, Bowen Wang, Noa Garcia:
CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care. CoRR abs/2307.01458 (2023) - [i21]Amelia Katirai, Noa Garcia, Kazuki Ide, Yuta Nakashima, Atsuo Kishimoto:
Situating the social issues of image generation models in the model life cycle: a sociotechnical approach. CoRR abs/2311.18345 (2023) - [i20]Yankun Wu, Yuta Nakashima, Noa Garcia:
Stable Diffusion Exposed: Gender Bias from Prompt to Image. CoRR abs/2312.03027 (2023) - 2022
- [i19]Nikolaos-Antonios Ypsilantis, Noa Garcia, Guangxing Han, Sarah Ibrahimi, Nanne van Noord, Giorgos Tolias:
The Met Dataset: Instance-level Recognition for Artworks. CoRR abs/2202.01747 (2022) - [i18]Yusuke Hirota, Yuta Nakashima, Noa Garcia:
Quantifying Societal Bias Amplification in Image Captioning. CoRR abs/2203.15395 (2022) - [i17]Yusuke Hirota, Yuta Nakashima, Noa Garcia:
Gender and Racial Bias in Visual Question Answering Datasets. CoRR abs/2205.08148 (2022) - [i16]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) - 2021
- [i15]Vinay Damodaran, Sharanya Chakravarthy, Akshay Kumar, Anjana Umapathy, Teruko Mitamura, Yuta Nakashima, Noa Garcia, Chenhui Chu:
Understanding the Role of Scene Graphs in Visual Question Answering. CoRR abs/2101.05479 (2021) - [i14]Cheikh Brahim El Vaigh, Noa Garcia, Benjamin Renoust, Chenhui Chu, Yuta Nakashima, Hajime Nagahara:
GCNBoost: Artwork Classification by Label Propagation through a Knowledge Graph. CoRR abs/2105.11852 (2021) - [i13]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) - [i12]Zechen Bai, Yuta Nakashima, Noa Garcia:
Explain Me the Painting: Multi-Topic Knowledgeable Art Description Generation. CoRR abs/2109.05743 (2021) - [i11]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
- [i10]Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima:
Knowledge-Based Visual Question Answering in Videos. CoRR abs/2004.08385 (2020) - [i9]Noa Garcia, Yuta Nakashima:
Knowledge-Based Video Question Answering with Unsupervised Scene Descriptions. CoRR abs/2007.08751 (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]Nikolai Huckle, Noa Garcia, Yuta Nakashima:
Demographic Influences on Contemporary Art with Unsupervised Style Embeddings. CoRR abs/2009.14545 (2020) - 2019
- [i6]Noa Garcia, Benjamin Renoust, Yuta Nakashima:
Context-Aware Embeddings for Automatic Art Analysis. CoRR abs/1904.04985 (2019) - [i5]Noa Garcia, Benjamin Renoust, Yuta Nakashima:
Understanding Art through Multi-Modal Retrieval in Paintings. CoRR abs/1904.10615 (2019) - [i4]Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima:
KnowIT VQA: Answering Knowledge-Based Questions about Videos. CoRR abs/1910.10706 (2019) - 2018
- [i3]Noa Garcia, George Vogiatzis:
How to Read Paintings: Semantic Art Understanding with Multi-Modal Retrieval. CoRR abs/1810.09617 (2018) - 2017
- [i2]Noa Garcia, George Vogiatzis:
Learning Non-Metric Visual Similarity for Image Retrieval. CoRR abs/1709.01353 (2017) - [i1]Noa Garcia, George Vogiatzis:
Dress like a Star: Retrieving Fashion Products from Videos. CoRR abs/1710.07198 (2017)
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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