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Go Irie
Go Irie
Tokyo University of Science
Verified email at ieee.org
Title
Cited by
Cited by
Year
Travel route recommendation using geotags in photo sharing sites
T Kurashima, T Iwata, G Irie, K Fujimura
Proceedings of the 19th ACM international conference on Information and …, 2010
4222010
Travel route recommendation using geotagged photos
T Kurashima, T Iwata, G Irie, K Fujimura
Knowledge and information systems 37, 37-60, 2013
1492013
Locally linear hashing for extracting non-linear manifolds
G Irie, Z Li, XM Wu, SF Chang
Proceedings of the IEEE conference on computer vision and pattern …, 2014
1142014
Multi-task curriculum framework for open-set semi-supervised learning
Q Yu, D Ikami, G Irie, K Aizawa
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
1082020
Affective audio-visual words and latent topic driving model for realizing movie affective scene classification
G Irie, T Satou, A Kojima, T Yamasaki, K Aizawa
IEEE Transactions on Multimedia 12 (6), 523-535, 2010
932010
Alternating co-quantization for cross-modal hashing
G Irie, H Arai, Y Taniguchi
Proceedings of the IEEE International Conference on Computer Vision, 1886-1894, 2015
842015
Efficient label propagation
Y Fujiwara, G Irie
International conference on machine learning, 784-792, 2014
772014
Fast algorithm for affinity propagation
Y Fujiwara, G Irie, T Kitahara
Twenty-Second International Joint Conference on Artificial Intelligence, 2011
672011
Emotion detecting method, emotion detecting apparatus, emotion detecting program that implements the same method, and storage medium that stores the same program
G Irie, K Hidaka, T Satou, Y Taniguchi, S Nakajima
US Patent 8,386,257, 2013
522013
Automatic trailer generation
G Irie, T Satou, A Kojima, T Yamasaki, K Aizawa
Proceedings of the 18th ACM international conference on Multimedia, 839-842, 2010
352010
Learning with Selective Forgetting.
T Shibata, G Irie, D Ikami, Y Mitsuzumi
IJCAI 3, 4, 2021
272021
Latent topic driving model for movie affective scene classification
G Irie, K Hidaka, T Satou, A Kojima, T Yamasaki, K Aizawa
Proceedings of the 17th ACM international conference on Multimedia, 565-568, 2009
262009
A bayesian approach to multimodal visual dictionary learning
G Irie, D Liu, Z Li, SF Chang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
252013
Scaling manifold ranking based image retrieval
Y Fujiwara, G Irie, S Kuroyama, M Onizuka
Proceedings of the VLDB Endowment 8 (4), 341-352, 2014
222014
Self-labeling framework for novel category discovery over domains
Q Yu, D Ikami, G Irie, K Aizawa
Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 3161-3169, 2022
212022
Generalized domain adaptation
Y Mitsuzumi, G Irie, D Ikami, T Shibata
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
202021
Weighted generalized mean pooling for deep image retrieval
X Wu, G Irie, K Hiramatsu, K Kashino
2018 25th IEEE International Conference on Image Processing (ICIP), 495-499, 2018
192018
Attribute discovery for person re-identification
T Umeda, Y Sun, G Irie, K Sudo, T Kinebuchi
MultiMedia Modeling: 22nd International Conference, MMM 2016, Miami, FL, USA …, 2016
172016
Seeing through sounds: Predicting visual semantic segmentation results from multichannel audio signals
G Irie, M Ostrek, H Wang, H Kameoka, A Kimura, T Kawanishi, K Kashino
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
162019
Affective video segment retrieval for consumer generated videos based on correlation between emotions and emotional audio events
G Irie, K Hidaka, T Satou, T Yamasaki, K Aizawa
2009 IEEE International Conference on Multimedia and Expo, 522-525, 2009
162009
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Articles 1–20