NTTLAB AT TRECVID 2008 BBC Rushes Summarization Task. - Uwe Kowalik; Yousuke Torii; Yongqing Sun; Kota Hidaka; Go Irie; Mitsuhiro Wagatsuma; Yukinobu Taniguchi; Akira Kojima; Hidenobu Nagata (TRECVID, 2008)

Affective video segment retrieval for consumer generated videos based on correlation between emotions and emotional audio events. - Go Irie; Kota Hidaka; Takashi Satou; Toshihiko Yamasaki; Kiyoharu Aizawa (ICME, 2009)

A degree-of-edit ranking for consumer generated video retrieval. - Go Irie; Kota Hidaka; Takashi Satou; Toshihiko Yamasaki; Kiyoharu Aizawa (ICME, 2009)

Latent topic driving model for movie affective scene classification. - Go Irie; Kota Hidaka; Takashi Satou; Akira Kojima; Toshihiko Yamasaki; Kiyoharu Aizawa (ACM Multimedia, 2009)

Travel route recommendation using geotags in photo sharing sites. - Takeshi Kurashima; Tomoharu Iwata; Go Irie; Ko Fujimura (CIKM, 2010)

Automatic trailer generation. - Go Irie; Takashi Satou; Akira Kojima; Toshihiko Yamasaki; Kiyoharu Aizawa (ACM Multimedia, 2010)

Facial Parameters and Their Influence on Subjective Impression in the Context of Keyframe Extraction from Home Video Contents. - Uwe Kowalik; Go Irie; Yasuhiko Miyazaki; Akira Kojima (MMM, 2010)

Affective Audio-Visual Words and Latent Topic Driving Model for Realizing Movie Affective Scene Classification. - Go Irie; Takashi Satou; Akira Kojima; Toshihiko Yamasaki; Kiyoharu Aizawa (IEEE Trans. Multim., 2010)

Fast Algorithm for Affinity Propagation. - Yasuhiro Fujiwara; Go Irie; Tomoe Kitahara (IJCAI, 2011)

Image collection summarization for search result overviewing on mobile devices. - Go Irie; Takashi Satou; Akira Kojima; Toshihiko Yamasaki; Kiyoharu Aizawa (IMMPD@ACM Multimedia, 2011)

TRECVID 2011 Semantic Indexing Task By NTT-SL-ZJU. - Yongqing Sun; Go Irie; Takashi Satou; Akira Kojima; Kyoko Sudo; Masashi Morimoto; Akisato Kimura; Zhihua Zhang (TRECVID, 2011)

Improving Item Recommendation Based on Social Tag Ranking. - Taiga Yoshida; Go Irie; Takashi Satou; Akira Kojima; Suguru Higashino (MMM, 2012)

A Bayesian Approach to Multimodal Visual Dictionary Learning. - Go Irie; Dong Liu 001; Zhenguo Li; Shih-Fu Chang (CVPR, 2013)

Towards semantic and affective content-based video recommendation. - Taiga Yoshida; Go Irie; Hiroyuki Arai; Yukinobu Taniguchi (ICME Workshops, 2013)

Fast image/video collection summarization with local clustering. - Shuhei Tarashima; Go Irie; Ken Tsutsuguchi; Hiroyuki Arai; Yukinobu Taniguchi (ACM Multimedia, 2013)

Multimedia Grand Challenge 2012. - Yushi Jing; Go Irie; Marcel Worring (IEEE Multim., 2013)

Travel route recommendation using geotagged photos. - Takeshi Kurashima; Tomoharu Iwata; Go Irie; Ko Fujimura (Knowl. Inf. Syst., 2013)

Locally Linear Hashing for Extracting Non-linear Manifolds. - Go Irie; Zhenguo Li; Xiao-Ming Wu 003; Shih-Fu Chang (CVPR, 2014)

Efficient Label Propagation. - Yasuhiro Fujiwara; Go Irie (ICML, 2014)

Scaling Manifold Ranking Based Image Retrieval. - Yasuhiro Fujiwara; Go Irie; Shari Kuroyama; Makoto Onizuka (Proc. VLDB Endow., 2014)

Alternating Co-Quantization for Cross-Modal Hashing. - Go Irie; Hiroyuki Arai; Yukinobu Taniguchi (ICCV, 2015)

Guest Editorial: Challenges and Perspectives for Affective Analysis in Multimedia. - Mohammad Soleymani 001; Yi-Hsuan Yang; Go Irie; Alan Hanjalic (IEEE Trans. Affect. Comput., 2015)

Joint object discovery and segmentation with image-wise reconstruction error. - Shuhei Tarashima; Jingjing Pan; Go Irie; Takayuki Kurozumi; Tetsuya Kinebuchi (ICIP, 2016)

Attribute Discovery for Person Re-Identification. - Takayuki Umeda; Yongqing Sun; Go Irie; Kyoko Sudo; Tetsuya Kinebuchi (MMM (2), 2016)

Local Multi-Coordinate System for Object Retrieval. - Go Irie; Yukito Watanabe; Takayuki Kurozumi; Tetsuya Kinebuchi (IEICE Trans. Inf. Syst., 2016)

Cross-modal transfer with neural word vectors for image feature learning. - Go Irie; Taichi Asami; Shuhei Tarashima; Takayuki Kurozumi; Tetsuya Kinebuchi (ICASSP, 2017)

Multimodal Learning of Geometry-Preserving Binary Codes for Semantic Image Retrieval. - Go Irie; Hiroyuki Arai; Yukinobu Taniguchi (IEICE Trans. Inf. Syst., 2017)

Query Expansion with Diffusion On Mutual Rank Graphs. - Xiaomeng Wu; Go Irie; Kaoru Hiramatsu; Kunio Kashino (ICASSP, 2018)

Weighted Generalized Mean Pooling for Deep Image Retrieval. - Xiaomeng Wu; Go Irie; Kaoru Hiramatsu; Kunio Kashino (ICIP, 2018)

Parallel Grid Pooling for Data Augmentation. - Akito Takeki; Daiki Ikami; Go Irie; Kiyoharu Aizawa (CoRR, 2018)

Delving Deep into Least Square Regression Model for Subspace Clustering. - Masataka Yamaguchi; Go Irie; Takahito Kawanishi; Kunio Kashino (BMVC, 2019)

Seeing through Sounds: Predicting Visual Semantic Segmentation Results from Multichannel Audio Signals. - Go Irie; Mirela Ostrek; Haochen Wang; Hirokazu Kameoka; Akisato Kimura; Takahito Kawanishi; Kunio Kashino (ICASSP, 2019)

Learning Search Path for Region-level Image Matching. - Onkar Krishna; Go Irie; Xiaomeng Wu; Takahito Kawanishi; Kunio Kashino (ICASSP, 2019)

Subspace Structure-Aware Spectral Clustering for Robust Subspace Clustering. - Masataka Yamaguchi; Go Irie; Takahito Kawanishi; Kunio Kashino (ICCV, 2019)

Robust Learning for Deep Monocular Depth Estimation. - Go Irie; Takahito Kawanishi; Kunio Kashino (ICIP, 2019)

Weakly Supervised Triplet Learning of Canonical Plane Transformation for Joint Object Recognition and Pose Estimation. - Kouki Ueno; Go Irie; Masashi Nishiyama; Yoshio Iwai (ICIP, 2019)

Computational Attention System for Children, Adults and Elderly. - Onkar Krishna; Kiyoharu Aizawa; Go Irie (CoRR, 2019)

Cascaded Transposed Long-Range Convolutions for Monocular Depth Estimation. - Go Irie; Daiki Ikami; Takahito Kawanishi; Kunio Kashino (ACCV (3), 2020)

Adaptive Spotting: Deep Reinforcement Object Search in 3D Point Clouds. - Onkar Krishna; Go Irie; Xiaomeng Wu; Takahito Kawanishi; Kunio Kashino (ACCV (3), 2020)

Multi-task Curriculum Framework for Open-Set Semi-supervised Learning. - Qing Yu; Daiki Ikami; Go Irie; Kiyoharu Aizawa (ECCV (12), 2020)

A Generative Self-Ensemble Approach To Simulated+Unsupervised Learning. - Yu Mitsuzumi; Go Irie; Akisato Kimura; Atsushi Nakazawa (ICIP, 2020)

Translating Adult's Focus of Attention to Elderly's. - Onkar Krishna; Go Irie; Takahito Kawanishi; Kunio Kashino; Kiyoharu Aizawa (ICPR, 2020)

Generalized Domain Adaptation. - Yu Mitsuzumi; Go Irie; Daiki Ikami; Takashi Shibata 001 (CVPR, 2021)

Disentangling Subject-Dependent/-Independent Representations for 2D Motion Retargeting. - Fanglu Xie; Go Irie; Tatsushi Matsubayashi (ICASSP, 2021)

Deep Reinforcement Image Matching with Self-Termination. - Onkar Krishna; Go Irie; Xiaomeng Wu; Akisato Kimura; Kunio Kashino (ICIP, 2021)

Learning with Selective Forgetting. - Takashi Shibata 001; Go Irie; Daiki Ikami; Yu Mitsuzumi (IJCAI, 2021)

Constrained Weight Optimization for Learning without Activation Normalization. - Daiki Ikami; Go Irie; Takashi Shibata 001 (WACV, 2021)

Computational attention model for children, adults and the elderly. - Onkar Krishna; Kiyoharu Aizawa; Go Irie (Multim. Tools Appl., 2021)

Joint object recognition and pose estimation using multiple-anchor triplet learning of canonical plane. - Shunsuke Yoneda; Kouki Ueno; Go Irie; Masashi Nishiyama; Yoshio Iwai (Pattern Recognit. Lett., 2021)

Self-Labeling Framework for Novel Category Discovery over Domains. - Qing Yu; Daiki Ikami; Go Irie; Kiyoharu Aizawa (AAAI, 2022)

Deep Segmentation Network Without Mask Image Supervision for 2D Image Registration. - Shunsuke Yoneda; Go Irie; Takashi Shibata 001; Masashi Nishiyama; Yoshio Iwai (IW-FCV, 2022)

Co-Attention-Guided Bilinear Model for Echo-Based Depth Estimation. - Go Irie; Takashi Shibata 001; Akisato Kimura (ICASSP, 2022)

Listening Human Behavior: 3D Human Pose Estimation with Acoustic Signals. - Yuto Shibata; Yutaka Kawashima; Mariko Isogawa; Go Irie; Akisato Kimura; Yoshimitsu Aoki (CVPR, 2023)

Noise-Avoidance Sampling for Annotation Missing Object Detection. - Jiafeng Mao; Qing Yu; Go Irie; Kiyoharu Aizawa (ICIP, 2023)

Text-to-Image Fashion Retrieval with Fabric Textures. - Daichi Suzuki; Go Irie; Kiyoharu Aizawa (ICMR, 2023)

LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning. - Atsuyuki Miyai; Qing Yu; Go Irie; Kiyoharu Aizawa (NeurIPS, 2023)

Interactive Indoor Localization Based on Image Retrieval and Question Response. - Xinyun Li; Ryosuke Furuta; Go Irie; Yota Yamamoto; Yukinobu Taniguchi (VISIGRAPP (4: VISAPP), 2023)

Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation. - Atsuyuki Miyai; Qing Yu; Daiki Ikami; Go Irie; Kiyoharu Aizawa (WACV, 2023)

Zero-Shot In-Distribution Detection in Multi-Object Settings Using Vision-Language Foundation Models. - Atsuyuki Miyai; Qing Yu; Go Irie; Kiyoharu Aizawa (CoRR, 2023)

Can Pre-trained Networks Detect Familiar Out-of-Distribution Data? - Atsuyuki Miyai; Qing Yu; Go Irie; Kiyoharu Aizawa (CoRR, 2023)

Linear Calibration Approach to Knowledge-free Group Robust Classification. - Ryota Ishizaki; Shunya Yamagami; Yuta Goto; Go Irie (BMVC, 2024)

Region-based Entropy Separation for One-shot Test-Time Adaptation. - Kodai Kawamura; Shunya Yamagami; Go Irie (BMVC, 2024)

Acoustic-based 3D Human Pose Estimation Robust to Human Position. - Yusuke Oumi; Yuto Shibata; Go Irie; Akisato Kimura; Yoshimitsu Aoki; Mariko Isogawa (BMVC, 2024)

Estimating Indoor Scene Depth Maps From Ultrasonic Echoes. - Junpei Honma; Akisato Kimura; Go Irie (ICIP, 2024)

Pose-Invariant Learning for Efficient Person Identification from Hyperspectral Hand Images. - Keigo Kunikata; Amane Kashino; Yota Yamamoto; Yukinobu Taniguchi; Yoko Sogabe; Ayumi Matsumoto; Masaki Kitahara; Go Irie (ICIP, 2024)

Cross-Action Cross-Subject Skeleton Action Recognition Via Simultaneous Action-Subject Learning With Two-Step Feature Removal. - Yu Mitsuzumi; Akisato Kimura; Go Irie; Atsushi Nakazawa (ICIP, 2024)

Bivariate Mixup for 2D Contact Point Localization with Piezoelectric Microphone Array. - Shogo Yonezawa; Yukinobu Taniguchi; Go Irie (MMAsia, 2024)

Black-Box Forgetting. - Yusuke Kuwana; Yuta Goto; Takashi Shibata 001; Go Irie (NeurIPS, 2024)

Canonical Plane Segmentation Without Annotating Pixel-Level Object Regions for Image Registration. - Shunsuke Yoneda; Go Irie; Masashi Nishiyama (IEEE Access, 2024)

Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models. - Atsuyuki Miyai; Jingkang Yang; Jingyang Zhang; Yifei Ming; Qing Yu; Go Irie; Yixuan Li 001; Hai Li 001; Ziwei Liu 002; Kiyoharu Aizawa (CoRR, 2024)

Self-Labeling Framework for Open-Set Domain Adaptation With Few Labeled Samples. - Qing Yu; Go Irie; Kiyoharu Aizawa (IEEE Trans. Multim., 2024)

Negative Learning to Prevent Undesirable Misclassification. - Kazuki Egashira; Atsuyuki Miyai; Qing Yu; Go Irie; Kiyoharu Aizawa (IEICE Trans. Inf. Syst., 2024)

Phase Randomization: A data augmentation for domain adaptation in human action recognition. - Yu Mitsuzumi; Go Irie; Akisato Kimura; Atsushi Nakazawa (Pattern Recognit., 2024)

Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models. - Atsuyuki Miyai; Jingkang Yang; Jingyang Zhang; Yifei Ming; Qing Yu; Go Irie; Yixuan Li 001; Hai Helen Li; Ziwei Liu 002; Kiyoharu Aizawa (ACL (1), 2025)

Multi-Task Learning for Ultrasonic Echo-based Depth Estimation with Audible Frequency Recovery. - Junpei Honma; Akisato Kimura; Go Irie (ICASSP, 2025)

Open-set domain adaptation with visual-language foundation models. - Qing Yu; Go Irie; Kiyoharu Aizawa (Comput. Vis. Image Underst., 2025)

Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey. - Atsuyuki Miyai; Jingkang Yang; Jingyang Zhang; Yifei Ming; Yueqian Lin; Qing Yu; Go Irie; Shafiq Joty; Yixuan Li 001; Hai Helen Li; Ziwei Liu 002; Toshihiko Yamasaki; et al. (Trans. Mach. Learn. Res., 2025)

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models. - Shiho Noda; Atsuyuki Miyai; Qing Yu; Go Irie; Kiyoharu Aizawa (CoRR, 2025)

BGM2Pose: Active 3D Human Pose Estimation with Non-Stationary Sounds. - Yuto Shibata; Yusuke Oumi; Go Irie; Akisato Kimura; Yoshimitsu Aoki; Mariko Isogawa (CoRR, 2025)

GL-MCM: Global and Local Maximum Concept Matching for Zero-Shot Out-of-Distribution Detection. - Atsuyuki Miyai; Qing Yu; Go Irie; Kiyoharu Aizawa (Int. J. Comput. Vis., 2025)

PULSE: Practical Evaluation Scenarios for Large Multimodal Model Unlearning. - Tatsuki Kawakami; Kazuki Egashira; Atsuyuki Miyai; Go Irie; Kiyoharu Aizawa (CoRR, 2025)