| 2026 | AAAI | Otter: Mitigating Background Distractions of Wide-Angle Few-Shot Action Recognition with Enhanced RWKV. | Wenbo Huang, Jinghui Zhang, Zhenghao Chen, Guang Li, Lei Zhang, Yang Cao, Fang Dong, Takahiro Ogawa, Miki Haseyama |
| 2026 | AAAI | Adversarial Perturbation Shield: Preventing Concept Bleed-through in Continual Learning of Personalized Generative Models. | Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2026 | SIGIR | Revisiting the Role of Learned Attention Weighting in SASRec. | Keito Kozaki, Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2026 | WSDM | Risk-Aware Utility Re-Ranking for Financial Asset Recommendation. | Keigo Sakurai, Takahiro Ogawa, Miki Haseyama, Anjyu Anan, Kei Nakagawa |
| 2025 | AAAI | Manta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence. | Wenbo Huang, Jinghui Zhang, Guang Li, Lei Zhang, Shuoyuan Wang, Fang Dong, Jiahui Jin, Takahiro Ogawa, Miki Haseyama |
| 2025 | AISTATS | Hyperboloid GPLVM for Discovering Continuous Hierarchies via Nonparametric Estimation. | Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2025 | ECIR | LLM is Knowledge Graph Reasoner: LLM's Intuition-Aware Knowledge Graph Reasoning for Cold-Start Sequential Recommendation. | Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2025 | ICASSP | Gradient-Oriented Clustered Federated Learning With Efficient Knowledge Sharing in Non-IID Settings. | Kenta Kubota, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2025 | ICASSP | Generative Dataset Distillation Based on Self-knowledge Distillation. | Longzhen Li, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2025 | ICASSP | Continual Self-supervised Learning Considering Medical Domain Knowledge in Chest CT Images. | Ren Tasai, Guang Li, Ren Togo, Minghui Tang, Takaaki Yoshimura, Hiroyuki Sugimori, Kenji Hirata, Takahiro Ogawa, Kohsuke Kudo, Miki Haseyama |
| 2025 | ICASSP | Robust Adversarial Defense Based on Non-Transferability of Attack Across Foundation Models. | Koshiro Toishi, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2025 | ICASSP | Triplet Synthesis for Enhancing Composed Image Retrieval via Counterfactual Image Generation. | Kenta Uesugi, Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2025 | ICCV | Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling. | Mingzhuo Li, Guang Li, Jiafeng Mao, Linfeng Ye, Takahiro Ogawa, Miki Haseyama |
| 2025 | ICIP | Out-of-Distribution Sample Selection Generated by Diffusion Model toward Model Generalization. | Kaede Hayakawa, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2025 | ICIP | Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory. | Mingzhuo Li, Guang Li, Jiafeng Mao, Takahiro Ogawa, Miki Haseyama |
| 2025 | ICIP | Enhancing Adversarial Robustness of Foundation Models Without Data Centralization. | Koshiro Toishi, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2025 | VR | Extending Gaussian Splatting to Audio: Optimizing Audio Points for Novel-View Acoustic Synthesis. | Masaki Yoshida, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2025 | SiggraphA | MLLM-guided Training-free Spherical Panorama Generation from a Single Image. | Yuki Katayama, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2025 | SiggraphA | Lost in the Interface: How Structured UI Complexity Challenges Large Vision Language Models in Games. | Xiang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2024 | CVPR | Generative Dataset Distillation: Balancing Global Structure and Local Details. | Longzhen Li, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2024 | ECCV | RGMIM: Region-Guided Masked Image Modeling for Learning Meaningful Representations from X-Ray Images. | Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2024 | ECCV | Generative Dataset Distillation Based on Diffusion Model. | Duo Su, Junjie Hou, Guang Li, Ren Togo, Rui Song, Takahiro Ogawa, Miki Haseyama |
| 2024 | ICASSP | Privacy Preserving Gaze Estimation Via Federated Learning Adapted To Egocentric Video. | Yuhu Feng, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2024 | ICASSP | Enhancing Noisy Label Learning Via Unsupervised Contrastive Loss with Label Correction Based on Prior Knowledge. | Masaki Kashiwagi, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2024 | ICASSP | Multi-Object Editing in Personalized Text-To-Image Diffusion Model Via Segmentation Guidance. | Haruka Matsuda, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2024 | ICASSP | Caption Unification for Multi-View Lifelogging Images Based on In-Context Learning with Heterogeneous Semantic Contents. | Masaya Sato, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2024 | ICASSP | Confidence-Aware Spatial-Temporal Attention Graph Convolutional Network for Skeleton-Based Expert-Novice Level Classification. | Tatsuki Seino, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama |
| 2024 | ICASSP | Prompt-Based Personalized Federated Learning for Medical Visual Question Answering. | He Zhu, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2024 | ICIP | Cross-Domain Few-Shot In-Context Learning For Enhancing Traffic Sign Recognition. | Yaozong Gan, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2024 | ICIP | Reinforcing Pre-Trained Models Using Counterfactual Images. | Xiang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2024 | ICIP | Zero-Shot Composed Image Retrieval Considering Query-Target Relationship Leveraging Masked Image-Text Pairs. | Huaying Zhang, Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2024 | SiggraphA | Generalizing Human Motion Style Transfer Method Based on Metadata-independent Learning. | Yuki Era, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2024 | SiggraphA | An Evaluation Metric for Single Image-to-3D Models Based on Object Detection Perspective. | Yuiko Uchida, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2023 | ICASSP | Improving Dropout in Graph Convolutional Networks for Recommendation via Contrastive Loss. | Hiroki Okamura, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2023 | ICASSP | Class-Aware Shared Gaussian Process Dynamic Model. | Ryosuke Sawata, Takahiro Ogawa, Miki Haseyama |
| 2023 | ICASSP | Estimation of Visual Contents from Human Brain Signals via VQA Based on Brain-Specific Attention. | Ryo Shichida, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2023 | ICASSP | Learning Graph Laplacian from Intrinsic Patterns via Gaussian Process. | Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2023 | ICASSP | Binauralization Robust To Camera Rotation Using 360° Videos. | Masaki Yoshida, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2023 | ICASSP | Defense Against Black-Box Adversarial Attacks Via Heterogeneous Fusion Features. | Jiahuan Zhang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2023 | ICIP | Video-Music Retrieval with Fine-Grained Cross-Modal Alignment. | Yuki Era, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2023 | ICIP | Feature Integration via Back-Projection Ordering Multi-Modal Gaussian Process Latent Variable Model for Rating Prediction. | Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2023 | ICIP | Multi-View Variational Recurrent Neural Network for Human Emotion Recognition Using Multi-Modal Biological Signals. | Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2023 | ICIP | Text-Guided Facial Image Manipulation for Wild Images via Manipulation Direction-Based Loss. | Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2023 | ICIP | Interpretable Visual Question Answering Referring to Outside Knowledge. | He Zhu, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2023 | ICLR | Gromov-Wasserstein Autoencoders. | Nao Nakagawa, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2022 | ECCV | Union-Set Multi-source Model Adaptation for Semantic Segmentation. | Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2022 | ICASSP | Self-Knowledge Distillation based Self-Supervised Learning for Covid-19 Detection from Chest X-Ray Images. | Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2022 | ICASSP | Divergence-Guided Feature Alignment for Cross-Domain Object Detection. | Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2022 | ICASSP | TriBYOL: Triplet BYOL for Self-Supervised Representation Learning. | Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2022 | ICASSP | Human Emotion Recognition Using Multi-Modal Biological Signals Based On Time Lag-Considered Correlation Maximization. | Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2022 | ICASSP | Variational Bayesian Graph Convolutional Network for Robust Collaborative Filtering. | Nozomu Onodera, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2022 | ICASSP | Distributed Label Dequantized Gaussian Process Latent Variable Model for Multi-View Data Integration. | Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2022 | ICASSP | Generative Adversarial Network Including Referring Image Segmentation For Text-Guided Image Manipulation. | Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2022 | ICIP | Human-Centric Image Retrieval with Gaze-Based Image Captioning. | Yuhu Feng, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2022 | ICIP | GCN-Based Multi-Modal Multi-Label Attribute Classification in Anime Illustration Using Domain-Specific Semantic Features. | Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2022 | ICIP | Improving Model Adaptation for Semantic Segmentation by Learning Model-Invariant Features with Multiple Source-Domain Models. | Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2022 | ICIP | Gaussian Distributed Graph Constrained Multi-Modal Gaussian Process Latent Variable Model for Ordinal Labeled Data. | Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2022 | ICIP | Few-Shot Personalized Saliency Prediction with Similarity of Gaze Tendency Using Object-Based Structural Information. | Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2022 | ICIP | Assessment of Image Manipulation Using Natural Language Description: Quantification of Manipulation Direction. | Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2022 | ICIP | Visual Sentiment Prediction Using Cross-Way Few-Shot Learning Based on Knowledge Distillation. | Yingrui Ye, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2021 | ICASSP | Cross-Domain Semi-Supervised Deep Metric Learning for Image Sentiment Analysis. | Yun Liang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2021 | ICASSP | Classification of Expert-Novice Level Using Eye Tracking And Motion Data via Conditional Multimodal Variational Autoencoder. | Yusuke Akamatsu, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2021 | ICASSP | Estimation of Visual Features of Viewed Image From Individual and Shared Brain Information Based on FMRI Data Using Probabilistic Generative Model. | Takaaki Higashi, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2021 | ICASSP | Feature Integration via Semi-Supervised Ordinally Multi-Modal Gaussian Process Latent Variable Model. | Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2021 | ICASSP | Semantic-Aware Unpaired Image-to-Image Translation for Urban Scene Images. | Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2021 | ICASSP | Multi-Modal Label Dequantized Gaussian Process Latent Variable Model for Ordinal Label Estimation. | Masanao Matsumoto, Keisuke Maeda, Naoki Saito, Takahiro Ogawa, Miki Haseyama |
| 2021 | ICASSP | Human-Centered Favorite Music Classification Using EEG-Based Individual Music Preference Via Deep Time-Series CCA. | Ryosuke Sawata, Takahiro Ogawa, Miki Haseyama |
| 2021 | ICIP | Deep Metric Network Via Heterogeneous Semantics for Image Sentiment Analysis. | Yun Liang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2021 | ICIP | Segmentation-Aware Text-Guided Image Manipulation. | Tomoki Haruyama, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2021 | ICIP | Cross-Domain Recommendation Method Based On Multi-Layer Graph Analysis With Visual Information. | Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama |
| 2021 | ICIP | Time-Lag Aware Multi-Modal Variational Autoencoder Using Baseball Videos And Tweets For Prediction Of Important Scenes. | Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2021 | ICIP | Interest Level Estimation via Multi-Modal Gaussian Process Latent Variable Factorization. | Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2021 | ICIP | Few-Shot Personalized Saliency Prediction using Person Similarity based on Collaborative Multi-Output Gaussian Process Regression. | Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2021 | ICIP | Interpretable Representation Learning on Natural Image Datasets via Reconstruction in Visual-Semantic Embedding Space. | Nao Nakagawa, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2021 | ICIP | Correlation-Aware Attention Branch Network Using Multi-Modal Data For Deterioration Level Estimation Of Infrastructures. | Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2020 | ICASSP | Multi-View Bayesian Generative Model for Multi-Subject FMRI Data on Brain Decoding of Viewed Image Categories. | Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama |
| 2020 | ICASSP | Unsupervised Domain Adaptation for Semantic Segmentation with Symmetric Adaptation Consistency. | Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2020 | ICIP | Important Scene Detection Of Baseball Videos Via Time-Lag Aware Deep Multiset Canonical Correlation Maximization. | Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2020 | ICIP | Soft-Label Anonymous Gastric X-Ray Image Distillation. | Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2020 | ICIP | Variational Autoencoder Based Unsupervised Domain Adaptation For Semantic Segmentation. | Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2020 | ICIP | Feature Integration Via Geometrical Supervised Multi-View Multi-Label Canonical Correlation For Incomplete Label Assignment. | Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama |
| 2020 | ICIP | Estimation Of Visual Contents Based On Question Answering From Human Brain Activity. | Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2020 | ICIP | Generation of Viewed Image Captions From Human Brain Activity Via Unsupervised Text Latent Space. | Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2020 | ICIP | Multimodal Image-to-Image Translation for Generation of Gastritis Images. | Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2020 | ICIP | Image Retrieval With Lingual And Visual Paraphrasing Via Generative Models. | Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2019 | ICASSP | Estimating Viewed Image Categories from Human Brain Activity via Semi-supervised Fuzzy Discriminative Canonical Correlation Analysis. | Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama |
| 2019 | ICASSP | Multi-feature Fusion Based on Supervised Multi-view Multi-label Canonical Correlation Projection. | Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama |
| 2019 | ICIP | Gastritis Detection from Gastric X-Ray Images Via Fine-Tuning of Patch-Based Deep Convolutional Neural Network. | Misaki Kanai, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2019 | ICIP | Neural Network Maximizing Ordinally Supervised Multi-View Canonical Correlation for Deterioration Level Estimation. | Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama |
| 2019 | ICIP | Estimation of Emotion Labels via Tensor-Based Spatiotemporal Visual Attention Analysis. | Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2019 | ICIP | Scene Retrieval for Video Summarization Based on Text-to-Image gan. | Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2019 | ISCAS | Synthetic Image Generation for Gastritis Detection Based on Auxiliary Classifier Generative Adversarial Network. | Misaki Kanai, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2019 | ISCAS | Semi-Supervised Learning Based on Tri-Training for Gastritis Classification using Gastric X-ray Images. | Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2019 | ISCAS | Scene Retrieval from Multiple Resolution Generated Images Based on Text-to-Image GAN. | Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama |
| 2018 | ICASSP | Sfemcca: Supervised Fractional-Order Embedding Multiview Canonical Correlation Analysis for Video Preference Estimation. | Yoshiki Ito, Takahiro Ogawa, Miki Haseyama |
| 2018 | ICASSP | Semi-Supervised Multiple Feature Fusion for Video Preference Estimation. | Akira Toyoda, Takahiro Ogawa, Miki Haseyama |
| 2018 | ICIP | A Human-Centered Neural Network Model with Discriminative Locality Preserving Canonical Correlation Analysis for Image Classification. | Kazaha Horii, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2018 | ICIP | Anonymous Gastritis Image Generation via Adversarial Learning from Gastric X-Ray Images. | Ren Togo, Kenta Ishihara, Takahiro Ogawa, Miki Haseyama |
| 2017 | ICASSP | Personalized video preference estimation based on early fusion using multiple users' viewing behavior. | Yoshiki Ito, Takahiro Ogawa, Miki Haseyama |
| 2017 | ICASSP | Exemplar-based image completion via new quality measure based on phaseless texture features. | Takahiro Ogawa, Miki Haseyama |
| 2017 | ICASSP | Emotion estimation via tensor-based supervised decision-level fusion from multiple Brodmann areas. | Kento Sugata, Takahiro Ogawa, Miki Haseyama |
| 2017 | ICIP | Image retrieval based on LRGA algorithm and relevance feedback for insect identification. | Susumu Gerund, Takahiro Ogawa, Miki Haseyama |
| 2017 | ICIP | Tag refinement based on multilingual tag hierarchies extracted from image folksonomy. | Shota Hamano, Takahiro Ogawa, Miki Haseyama |
| 2017 | ICIP | Detection of gastric cancer risk from X-ray images via patch-based convolutional neural network. | Kenta Ishihara, Takahiro Ogawa, Miki Haseyama |
| 2017 | ICIP | Automatic martian dust storm detection via decision level fusion basedondeep extreme learning machine. | Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2017 | ICIP | Automatic estimation of deterioration level on transmission towers via deep extreme learning machine based on local receptive field. | Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama |
| 2017 | ICIP | MvLFDA-based video preference estimation using complementary properties of features. | Akira Toyoda, Takahiro Ogawa, Miki Haseyama |
| 2016 | ICASSP | Novel favorite music classification using EEG-based optimal audio features selected via KDLPCCA. | Ryosuke Sawata, Takahiro Ogawa, Miki Haseyama |
| 2016 | ICIP | Hierarchical content group detection from different social media platforms using Web link structure. | Daichi Takehara, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama |
| 2016 | ISITA | An accurate mortality prediction method based on decision-level fusion of existing ICU scoring systems. | Yasutaka Hatakeyama, Takahiro Ogawa, Hirokazu Tanaka, Miki Haseyama |
| 2015 | ICASSP | Novel image classification based on integration of EEG and visual features via MSLPCCA. | Takuya Kawakami, Takahiro Ogawa, Miki Haseyama |
| 2015 | ICASSP | Missing intensity restoration via adaptive selection of perceptually optimized subspaces. | Takahiro Ogawa, Miki Haseyama |
| 2015 | ICIP | Extraction of hierarchical structure of web communities including salient keyword estimation for web video retrieval. | Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama |
| 2015 | ICIP | Helicobacter pylori infection detection from multiple x-ray images based on combination use of support vector machine and multiple kernel learning. | Kenta Ishihara, Takahiro Ogawa, Miki Haseyama |
| 2015 | ICIP | Automatic detection of martian dust storms from heterogeneous data based on decision level fusion. | Keisuke Maeda, Takahiro Ogawa, Miki Haseyama |
| 2014 | ICASSP | Novel image classification based on decision-level fusion of EEG and visual features. | Takuya Kawakami, Takahiro Ogawa, Miki Haseyama |
| 2014 | ICASSP | Missing intensity restoration via perceptually optimized subspace projection based on entropy component analysis. | Takahiro Ogawa, Miki Haseyama |
| 2014 | ICIP | Helicobacter pylori infection detection from multiple X-ray images based on decision level fusion. | Kenta Ishihara, Takahiro Ogawa, Miki Haseyama |
| 2014 | ICIP | 2D semi-supervised CCA-based inpainting including new priority estimation. | Takahiro Ogawa, Miki Haseyama |
| 2013 | ICASSP | Vocal segment estimation in music pieces based on collaborative use of EEG and audio features. | Takuya Kawakami, Takahiro Ogawa, Miki Haseyama |
| 2013 | ICIP | An extraction method of hierarchical Web communities for Web video retrieval. | Ryosuke Harakawa, Yasutaka Hatakeyama, Takahiro Ogawa, Miki Haseyama |
| 2013 | ICIP | Spectral reflectance estimation from visible light components and near-infrared components. | Yuta Igarashi, Takahiro Ogawa, Miki Haseyama |
| 2013 | ICIP | KCFA-based missing area restoration including new priority estimation. | Takahiro Ogawa, Miki Haseyama |
| 2013 | ICIP | Insect classification using Scanning Electron Microphotographs considering magnifications. | Akihiro Takahashi, Takahiro Ogawa, Miki Haseyama |
| 2012 | ICASSP | A cross-modal approach for extracting semantic relationships of concepts from an image database. | Marie Katsurai, Takahiro Ogawa, Miki Haseyama |
| 2012 | ICASSP | Perceptually optimized subspace estimation for missing texture reconstruction. | Takahiro Ogawa, Miki Haseyama |
| 2011 | ICASSP | Linear time decoding of real-field codes over high error rate channels. | Zaixing He, Takahiro Ogawa, Miki Haseyama |
| 2011 | ICASSP | Adaptive reconstruction method of missing textures based on perceptually optimized algorithm. | Takahiro Ogawa, Miki Haseyama |
| 2011 | ICIP | Adaptive KPCA-based missing texture reconstruction approach including classification scheme via difference subspaces. | Takahiro Ogawa, Miki Haseyama |
| 2010 | ICIP | The simplest measurement matrix for compressed sensing of natural images. | Zaixing He, Takahiro Ogawa, Miki Haseyama |
| 2009 | ICASSP | An effective flowestimation method with particle filter based on Helmholtz decomposition theorem. | Norihiro Kakukou, Takahiro Ogawa, Miki Haseyama |
| 2009 | ICASSP | Adaptive reconstruction method of missing textures based on kernel canonical correlation analysis. | Takahiro Ogawa, Miki Haseyama |
| 2009 | ICIP | A Web community-based video retrieval method using canonical correlation analysis. | Yasutaka Hatakeyama, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama |
| 2008 | ICIP | A Kalman filter-based approach for adaptive restoration of in-vehicle camera foggy images. | Tomoki Hiramatsu, Takahiro Ogawa, Miki Haseyama |
| 2008 | ICIP | An effective detection method of rotational and divergent structures in still images based on Helmholtz decomposition. | Norihiro Kakukou, Takahiro Ogawa, Miki Haseyama |
| 2008 | ICIP | Kernel PCA-based semantic feature estimation approach for similar image retrieval. | Takahiro Ogawa, Miki Haseyama |
| 2007 | ICASSP | Adaptive Reconstruction Method of Missing Texture Based on Projection Onto Convex Sets. | Takahiro Ogawa, Miki Haseyama |
| 2007 | ICIP | POCS-Based Iterative Reconstruction Algorithm of Missing Textures. | Takahiro Ogawa, Miki Haseyama |
| 2006 | ICIP | An Accurate IFS-Based Image Enlargement Method using Line Process. | Norihiro Kakukou, Takahiro Ogawa, Miki Haseyama, Hideo Kitajima |
| 2005 | ICIP | Reconstruction method of missing texture using error reduction algorithm. | Takahiro Ogawa, Miki Haseyama, Hideo Kitajima |
| 2005 | ISCAS | Restoration method of missing areas in still images using GMRF model. | Takahiro Ogawa, Miki Haseyama, Hideo Kitajima |
| 2005 | KES | Influence of Music Listening on the Cerebral Activity by Analyzing EEG. | Takahiro Ogawa, Satomi Ota, Shin-Ichi Ito, Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu |
| 2004 | ICIP | A novel image recognition method based on feature-extraction vector scheme. | Masatoshi Hiramoto, Takahiro Ogawa, Miki Haseyama |