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2020 – today
- 2024
[j13]Shunsuke Yoneda
, Go Irie, Masashi Nishiyama:
Canonical Plane Segmentation Without Annotating Pixel-Level Object Regions for Image Registration. IEEE Access 12: 39484-39494 (2024)- [j12]Kazuki Egashira, Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa:
Negative Learning to Prevent Undesirable Misclassification. IEICE Trans. Inf. Syst. 107(1): 144-147 (2024) - [j11]Yu Mitsuzumi, Go Irie, Akisato Kimura, Atsushi Nakazawa:
Phase Randomization: A data augmentation for domain adaptation in human action recognition. Pattern Recognit. 146: 110051 (2024) - [j10]Qing Yu, Go Irie, Kiyoharu Aizawa:
Self-Labeling Framework for Open-Set Domain Adaptation With Few Labeled Samples. IEEE Trans. Multim. 26: 1474-1487 (2024) - [e2]Go Irie, Choonsung Shin, Takashi Shibata, Kazuaki Nakamura:
Frontiers of Computer Vision - 30th International Workshop, IW-FCV 2024, Tokyo, Japan, February 19-21, 2024, Revised Selected Papers. Communications in Computer and Information Science 2143, Springer 2024, ISBN 978-981-97-4248-6 [contents] - [i12]Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Qing Yu, Go Irie, Yixuan Li, Hai Li, Ziwei Liu, Kiyoharu Aizawa:
Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models. CoRR abs/2403.20331 (2024) - [i11]Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Yueqian Lin, Qing Yu, Go Irie, Shafiq Joty, Yixuan Li, Hai Li, Ziwei Liu, Toshihiko Yamasaki, Kiyoharu Aizawa:
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey. CoRR abs/2407.21794 (2024) - [i10]Junpei Honma, Akisato Kimura, Go Irie:
Estimating Indoor Scene Depth Maps from Ultrasonic Echoes. CoRR abs/2409.03336 (2024) - 2023
- [c47]Yuto Shibata, Yutaka Kawashima, Mariko Isogawa, Go Irie, Akisato Kimura, Yoshimitsu Aoki:
Listening Human Behavior: 3D Human Pose Estimation with Acoustic Signals. CVPR 2023: 13323-13332 - [c46]Jiafeng Mao, Qing Yu, Go Irie, Kiyoharu Aizawa:
Noise-Avoidance Sampling for Annotation Missing Object Detection. ICIP 2023: 1575-1579 - [c45]Daichi Suzuki, Go Irie, Kiyoharu Aizawa:
Text-to-Image Fashion Retrieval with Fabric Textures. ICMR 2023: 525-529 - [c44]Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa:
LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning. NeurIPS 2023 - [c43]Xinyun Li, Ryosuke Furuta, Go Irie, Yota Yamamoto, Yukinobu Taniguchi:
Interactive Indoor Localization Based on Image Retrieval and Question Response. VISIGRAPP (4: VISAPP) 2023: 796-803 - [c42]Atsuyuki Miyai, Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa:
Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation. WACV 2023: 2808-2817 - [e1]Inseop Na, Go Irie:
Frontiers of Computer Vision - 29th International Workshop, IW-FCV 2023, Yeosu, South Korea, February 20-22, 2023, Revised Selected Papers. Communications in Computer and Information Science 1857, Springer 2023, ISBN 978-981-99-4913-7 [contents] - [i9]Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa:
Zero-Shot In-Distribution Detection in Multi-Object Settings Using Vision-Language Foundation Models. CoRR abs/2304.04521 (2023) - [i8]Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa:
LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning. CoRR abs/2306.01293 (2023) - [i7]Qing Yu, Go Irie, Kiyoharu Aizawa:
Open-Set Domain Adaptation with Visual-Language Foundation Models. CoRR abs/2307.16204 (2023) - [i6]Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa:
Can Pre-trained Networks Detect Familiar Out-of-Distribution Data? CoRR abs/2310.00847 (2023) - 2022
- [c41]Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa:
Self-Labeling Framework for Novel Category Discovery over Domains. AAAI 2022: 3161-3169 - [c40]Shunsuke Yoneda, Go Irie, Takashi Shibata, Masashi Nishiyama, Yoshio Iwai:
Deep Segmentation Network Without Mask Image Supervision for 2D Image Registration. IW-FCV 2022: 227-241 - [c39]Go Irie, Takashi Shibata, Akisato Kimura:
Co-Attention-Guided Bilinear Model for Echo-Based Depth Estimation. ICASSP 2022: 4648-4652 - [i5]Atsuyuki Miyai, Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa:
Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation. CoRR abs/2210.12681 (2022) - 2021
- [j9]Onkar Krishna, Kiyoharu Aizawa, Go Irie:
Computational attention model for children, adults and the elderly. Multim. Tools Appl. 80(1): 1055-1074 (2021) - [j8]Shunsuke Yoneda, Kouki Ueno, Go Irie, Masashi Nishiyama, Yoshio Iwai:
Joint object recognition and pose estimation using multiple-anchor triplet learning of canonical plane. Pattern Recognit. Lett. 152: 372-381 (2021) - [c38]Yu Mitsuzumi, Go Irie, Daiki Ikami, Takashi Shibata:
Generalized Domain Adaptation. CVPR 2021: 1084-1093 - [c37]Fanglu Xie, Go Irie, Tatsushi Matsubayashi:
Disentangling Subject-Dependent/-Independent Representations for 2D Motion Retargeting. ICASSP 2021: 4200-4204 - [c36]Onkar Krishna, Go Irie, Xiaomeng Wu, Akisato Kimura, Kunio Kashino:
Deep Reinforcement Image Matching with Self-Termination. ICIP 2021: 1254-1258 - [c35]Takashi Shibata, Go Irie, Daiki Ikami, Yu Mitsuzumi:
Learning with Selective Forgetting. IJCAI 2021: 989-996 - [c34]Daiki Ikami, Go Irie, Takashi Shibata:
Constrained Weight Optimization for Learning without Activation Normalization. WACV 2021: 2605-2613 - [i4]Yu Mitsuzumi, Go Irie, Daiki Ikami, Takashi Shibata:
Generalized Domain Adaptation. CoRR abs/2106.01656 (2021) - 2020
- [c33]Onkar Krishna, Go Irie, Xiaomeng Wu, Takahito Kawanishi, Kunio Kashino:
Adaptive Spotting: Deep Reinforcement Object Search in 3D Point Clouds. ACCV (3) 2020: 257-272 - [c32]Go Irie, Daiki Ikami, Takahito Kawanishi, Kunio Kashino:
Cascaded Transposed Long-Range Convolutions for Monocular Depth Estimation. ACCV (3) 2020: 437-453 - [c31]Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa:
Multi-task Curriculum Framework for Open-Set Semi-supervised Learning. ECCV (12) 2020: 438-454 - [c30]Yu Mitsuzumi, Go Irie, Akisato Kimura, Atsushi Nakazawa:
A Generative Self-Ensemble Approach To Simulated+Unsupervised Learning. ICIP 2020: 2151-2155 - [c29]Onkar Krishna, Go Irie, Takahito Kawanishi, Kunio Kashino, Kiyoharu Aizawa:
Translating Adult's Focus of Attention to Elderly's. ICPR 2020: 563-568 - [i3]Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa:
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning. CoRR abs/2007.11330 (2020)
2010 – 2019
- 2019
- [c28]Masataka Yamaguchi, Go Irie, Takahito Kawanishi, Kunio Kashino:
Delving Deep into Least Square Regression Model for Subspace Clustering. BMVC 2019: 118 - [c27]Onkar Krishna, Go Irie, Xiaomeng Wu, Takahito Kawanishi, Kunio Kashino:
Learning Search Path for Region-level Image Matching. ICASSP 2019: 1967-1971 - [c26]Go Irie, Mirela Ostrek, Haochen Wang, Hirokazu Kameoka, Akisato Kimura, Takahito Kawanishi, Kunio Kashino:
Seeing through Sounds: Predicting Visual Semantic Segmentation Results from Multichannel Audio Signals. ICASSP 2019: 3961-3964 - [c25]Masataka Yamaguchi, Go Irie, Takahito Kawanishi, Kunio Kashino:
Subspace Structure-Aware Spectral Clustering for Robust Subspace Clustering. ICCV 2019: 9874-9883 - [c24]Go Irie, Takahito Kawanishi, Kunio Kashino:
Robust Learning for Deep Monocular Depth Estimation. ICIP 2019: 964-968 - [c23]Kouki Ueno, Go Irie, Masashi Nishiyama, Yoshio Iwai:
Weakly Supervised Triplet Learning of Canonical Plane Transformation for Joint Object Recognition and Pose Estimation. ICIP 2019: 2476-2480 - [i2]Onkar Krishna, Kiyoharu Aizawa, Go Irie:
Computational Attention System for Children, Adults and Elderly. CoRR abs/1904.12628 (2019) - 2018
- [c22]Xiaomeng Wu, Go Irie, Kaoru Hiramatsu, Kunio Kashino:
Query Expansion with Diffusion On Mutual Rank Graphs. ICASSP 2018: 1653-1657 - [c21]Xiaomeng Wu, Go Irie, Kaoru Hiramatsu, Kunio Kashino:
Weighted Generalized Mean Pooling for Deep Image Retrieval. ICIP 2018: 495-499 - [i1]Akito Takeki, Daiki Ikami, Go Irie, Kiyoharu Aizawa:
Parallel Grid Pooling for Data Augmentation. CoRR abs/1803.11370 (2018) - 2017
- [j7]Go Irie, Hiroyuki Arai, Yukinobu Taniguchi:
Multimodal Learning of Geometry-Preserving Binary Codes for Semantic Image Retrieval. IEICE Trans. Inf. Syst. 100-D(4): 600-609 (2017) - [c20]Go Irie, Taichi Asami, Shuhei Tarashima, Takayuki Kurozumi, Tetsuya Kinebuchi:
Cross-modal transfer with neural word vectors for image feature learning. ICASSP 2017: 2916-2920 - 2016
- [j6]Go Irie, Yukito Watanabe, Takayuki Kurozumi, Tetsuya Kinebuchi:
Local Multi-Coordinate System for Object Retrieval. IEICE Trans. Inf. Syst. 99-D(10): 2656-2660 (2016) - [c19]Shuhei Tarashima, Jingjing Pan, Go Irie, Takayuki Kurozumi, Tetsuya Kinebuchi:
Joint object discovery and segmentation with image-wise reconstruction error. ICIP 2016: 849-853 - [c18]Takayuki Umeda, Yongqing Sun, Go Irie, Kyoko Sudo, Tetsuya Kinebuchi:
Attribute Discovery for Person Re-Identification. MMM (2) 2016: 268-276 - 2015
- [j5]Mohammad Soleymani, Yi-Hsuan Yang, Go Irie, Alan Hanjalic:
Guest Editorial: Challenges and Perspectives for Affective Analysis in Multimedia. IEEE Trans. Affect. Comput. 6(3): 206-208 (2015) - [c17]Go Irie, Hiroyuki Arai, Yukinobu Taniguchi:
Alternating Co-Quantization for Cross-Modal Hashing. ICCV 2015: 1886-1894 - 2014
- [j4]Yasuhiro Fujiwara, Go Irie, Shari Kuroyama, Makoto Onizuka:
Scaling Manifold Ranking Based Image Retrieval. Proc. VLDB Endow. 8(4): 341-352 (2014) - [c16]Go Irie, Zhenguo Li, Xiao-Ming Wu, Shih-Fu Chang:
Locally Linear Hashing for Extracting Non-linear Manifolds. CVPR 2014: 2123-2130 - [c15]Yasuhiro Fujiwara, Go Irie:
Efficient Label Propagation. ICML 2014: 784-792 - 2013
- [j3]Yushi Jing, Go Irie, Marcel Worring:
Multimedia Grand Challenge 2012. IEEE Multim. 20(1): 2-6 (2013) - [j2]Takeshi Kurashima, Tomoharu Iwata, Go Irie, Ko Fujimura:
Travel route recommendation using geotagged photos. Knowl. Inf. Syst. 37(1): 37-60 (2013) - [c14]Go Irie, Dong Liu, Zhenguo Li, Shih-Fu Chang:
A Bayesian Approach to Multimodal Visual Dictionary Learning. CVPR 2013: 329-336 - [c13]Taiga Yoshida, Go Irie, Hiroyuki Arai, Yukinobu Taniguchi:
Towards semantic and affective content-based video recommendation. ICME Workshops 2013: 1-6 - [c12]Shuhei Tarashima, Go Irie, Ken Tsutsuguchi, Hiroyuki Arai, Yukinobu Taniguchi:
Fast image/video collection summarization with local clustering. ACM Multimedia 2013: 725-728 - 2012
- [c11]Taiga Yoshida, Go Irie, Takashi Satou, Akira Kojima, Suguru Higashino:
Improving Item Recommendation Based on Social Tag Ranking. MMM 2012: 161-172 - 2011
- [c10]Yasuhiro Fujiwara, Go Irie, Tomoe Kitahara:
Fast Algorithm for Affinity Propagation. IJCAI 2011: 2238-2243 - [c9]Go Irie, Takashi Satou, Akira Kojima, Toshihiko Yamasaki, Kiyoharu Aizawa:
Image collection summarization for search result overviewing on mobile devices. IMMPD@ACM Multimedia 2011: 21-26 - [c8]Yongqing Sun, Go Irie, Takashi Satou, Akira Kojima, Kyoko Sudo, Masashi Morimoto, Akisato Kimura, Zhihua Zhang:
TRECVID 2011 Semantic Indexing Task By NTT-SL-ZJU. TRECVID 2011 - 2010
- [j1]Go Irie, Takashi Satou, Akira Kojima, Toshihiko Yamasaki, Kiyoharu Aizawa:
Affective Audio-Visual Words and Latent Topic Driving Model for Realizing Movie Affective Scene Classification. IEEE Trans. Multim. 12(6): 523-535 (2010) - [c7]Takeshi Kurashima, Tomoharu Iwata, Go Irie, Ko Fujimura:
Travel route recommendation using geotags in photo sharing sites. CIKM 2010: 579-588 - [c6]Go Irie, Takashi Satou, Akira Kojima, Toshihiko Yamasaki, Kiyoharu Aizawa:
Automatic trailer generation. ACM Multimedia 2010: 839-842 - [c5]Uwe Kowalik, Go Irie, Yasuhiko Miyazaki, Akira Kojima:
Facial Parameters and Their Influence on Subjective Impression in the Context of Keyframe Extraction from Home Video Contents. MMM 2010: 76-86
2000 – 2009
- 2009
- [c4]Go Irie, Kota Hidaka, Takashi Satou, Toshihiko Yamasaki, Kiyoharu Aizawa:
Affective video segment retrieval for consumer generated videos based on correlation between emotions and emotional audio events. ICME 2009: 522-525 - [c3]Go Irie, Kota Hidaka, Takashi Satou, Toshihiko Yamasaki, Kiyoharu Aizawa:
A degree-of-edit ranking for consumer generated video retrieval. ICME 2009: 1242-1245 - [c2]Go Irie, Kota Hidaka, Takashi Satou, Akira Kojima, Toshihiko Yamasaki, Kiyoharu Aizawa:
Latent topic driving model for movie affective scene classification. ACM Multimedia 2009: 565-568 - 2008
- [c1]Uwe Kowalik, Yousuke Torii, Yongqing Sun, Kota Hidaka, Go Irie, Mitsuhiro Wagatsuma, Yukinobu Taniguchi, Akira Kojima, Hidenobu Nagata:
NTTLAB AT TRECVID 2008 BBC Rushes Summarization Task. TRECVID 2008
Coauthor Index
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last updated on 2024-10-10 21:15 CEST by the dblp team
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