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Yuta Nakashima
Yuta Nakashima
Institute for Datability Science, Osaka University
Verified email at ids.osaka-u.ac.jp - Homepage
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Cited by
Cited by
Year
Iternet: Retinal image segmentation utilizing structural redundancy in vessel networks
L Li, M Verma, Y Nakashima, H Nagahara, R Kawasaki
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020
3192020
Video summarization using deep semantic features
M Otani, Y Nakashima, E Rahtu, J Heikkilä, N Yokoya
Computer Vision–ACCV 2016: 13th Asian Conference on Computer Vision, Taipei …, 2017
1522017
Rethinking the evaluation of video summaries
M Otani, Y Nakashima, E Rahtu, J Heikkila
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
1452019
Bert representations for video question answering
Z Yang, N Garcia, C Chu, M Otani, Y Nakashima, H Takemura
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020
1142020
Yoga-82: a new dataset for fine-grained classification of human poses
M Verma, S Kumawat, Y Nakashima, S Raman
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
1042020
Learning joint representations of videos and sentences with web image search
M Otani, Y Nakashima, E Rahtu, J Heikkilä, N Yokoya
European Conference on Computer Vision Workshop, 651-667, 2016
1012016
Summarization of user-generated sports video by using deep action recognition features
A Tejero-de-Pablos, Y Nakashima, T Sato, N Yokoya, M Linna, E Rahtu
IEEE Transactions on Multimedia 20 (8), 2000-2011, 2018
932018
KnowIT VQA: Answering knowledge-based questions about videos
N Garcia, M Otani, C Chu, Y Nakashima
Proceedings of the AAAI conference on artificial intelligence 34 (07), 10826 …, 2020
802020
Watermarked movie soundtrack finds the position of the camcorder in a theater
Y Nakashima, R Tachibana, N Babaguchi
IEEE Transactions on Multimedia 11 (3), 443-454, 2009
742009
Uncovering hidden challenges in query-based video moment retrieval
M Otani, Y Nakashima, E Rahtu, J Heikkilä
arXiv preprint arXiv:2009.00325, 2020
602020
Context-aware embeddings for automatic art analysis
N Garcia, B Renoust, Y Nakashima
Proceedings of the 2019 on International Conference on Multimedia Retrieval …, 2019
532019
A dataset and baselines for visual question answering on art
N Garcia, C Ye, Z Liu, Q Hu, M Otani, C Chu, Y Nakashima, T Mitamura
Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020
522020
Quantifying societal bias amplification in image captioning
Y Hirota, Y Nakashima, N Garcia
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
492022
Depthwise spatio-temporal STFT convolutional neural networks for human action recognition
S Kumawat, M Verma, Y Nakashima, S Raman
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (9), 4839-4851, 2021
452021
WRIME: A new dataset for emotional intensity estimation with subjective and objective annotations
T Kajiwara, C Chu, N Takemura, Y Nakashima, H Nagahara
Proceedings of the 2021 conference of the North American chapter of the …, 2021
432021
Scouter: Slot attention-based classifier for explainable image recognition
L Li, B Wang, M Verma, Y Nakashima, R Kawasaki, H Nagahara
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
432021
Toward verifiable and reproducible human evaluation for text-to-image generation
M Otani, R Togashi, Y Sawai, R Ishigami, Y Nakashima, E Rahtu, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
422023
Knowledge-Based Video Question Answering with Unsupervised Scene Descriptions
N Garcia, Y Nakashima
Proceedings of the 16th European Conference on Computer Vision, 2020
382020
Gender and racial bias in visual question answering datasets
Y Hirota, Y Nakashima, N Garcia
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
372022
ContextNet: representation and exploration for painting classification and retrieval in context
N Garcia, B Renoust, Y Nakashima
International Journal of Multimedia Information Retrieval 9 (1), 17-30, 2020
372020
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Articles 1–20