Folgen
Yuta Nakashima
Yuta Nakashima
Institute for Datability Science, Osaka University
Bestätigte E-Mail-Adresse bei ids.osaka-u.ac.jp - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
1882020
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
1122017
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
922019
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
922016
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
722020
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
712009
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
692018
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
492020
Context-aware embeddings for automatic art analysis
N Garcia, B Renoust, Y Nakashima
Proceedings of the 2019 on International Conference on Multimedia Retrieval …, 2019
382019
Uncovering hidden challenges in query-based video moment retrieval
M Otani, Y Nakashima, E Rahtu, J Heikkilä
arXiv preprint arXiv:2009.00325, 2020
302020
Knowledge-Based Video Question Answering with Unsupervised Scene Descriptions
N Garcia, Y Nakashima
Proceedings of the 16th European Conference on Computer Vision, 2020
292020
Facial expression preserving privacy protection using image melding
Y Nakashima, T Koyama, N Yokoya, N Babaguchi
2015 IEEE International Conference on Multimedia and Expo (ICME), 6 pages, 2015
292015
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
272020
ContextNet: representation and exploration for painting classification and retrieval in context
N Garcia, B Renoust, Y Nakashima
International Journal of Multimedia Information Retrieval 9, 17-30, 2020
262020
Intended human object detection for automatically protecting privacy in mobile video surveillance
Y Nakashima, N Babaguchi, J Fan
Multimedia Systems 18, 157-173, 2012
262012
Human action recognition-based video summarization for RGB-D personal sports video
A Tejero-de-Pablos, Y Nakashima, T Sato, N Yokoya
2016 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2016
242016
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
202020
Automatic generation of privacy-protected videos using background estimation
Y Nakashima, N Babaguchi, J Fan
2011 IEEE International Conference on Multimedia and Expo, 1-6, 2011
202011
Understanding the role of scene graphs in visual question answering
V Damodaran, S Chakravarthy, A Kumar, A Umapathy, T Mitamura, ...
arXiv preprint arXiv:2101.05479, 2021
192021
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
162021
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20