Takahiro Ogawa - researchr alias

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Viewing Publication 1 - 100 from 293

2021

Cross-Domain Semi-Supervised Deep Metric Learning for Image Sentiment AnalysisYun Liang 0014, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. icassp 2021: 4150-4154 [doi]

Perceived Image Decoding From Brain Activity Using Shared Information of Multi-Subject fMRI DataYusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama. access, 9:26593-26606, 2021. [doi]

Classification of Expert-Novice Level Using Eye Tracking And Motion Data via Conditional Multimodal Variational AutoencoderYusuke Akamatsu, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. icassp 2021: 1360-1364 [doi]

Multi-class Similar Scene Retrieval in Soccer Videos: A Scene Confusion Reduction Method Based on Combination of Long and Short Frame SequencesYaozong Gan, Ren Togo, Takahiro Ogawa, Miki Haseyama. gcce 2021: 117-118 [doi]

Estimation of Visual Features of Viewed Image From Individual and Shared Brain Information Based on FMRI Data Using Probabilistic Generative ModelTakaaki Higashi, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. icassp 2021: 1335-1339 [doi]

Analysis of Social Trends Related to COVID-19 Pandemic Utilizing Social Media DataTaisei Hirakawa, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama. gcce 2021: 43-44 [doi]

Detection of Important Scenes in Baseball Videos via Bidirectional Time Lag Aware Deep Multiset Canonical Correlation AnalysisKaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. access, 9:84971-84981, 2021. [doi]

Detection of Important Scenes in Baseball Videos via a Time-Lag-Aware Multimodal Variational AutoencoderKaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. sensors, 21(6):2045, 2021. [doi]

A Trial of Fine-grained Classification of Expert-novice Level Using Bio-signals While Inspecting Subway TunnelsKaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. gcce 2021: 204-205 [doi]

Feature Integration Through Semi-Supervised Multimodal Gaussian Process Latent Variable Model With Pseudo-Labels for Interest Level EstimationKyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. access, 9:163843-163850, 2021. [doi]

Feature Integration via Semi-Supervised Ordinally Multi-Modal Gaussian Process Latent Variable ModelKyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. icassp 2021: 4130-4134 [doi]

Multi-label Image Recognition Based on Multi-modal Graph Convolutional Networks Using Captioning FeaturesZiwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. gcce 2021: 273-274 [doi]

Semantic-Aware Unpaired Image-to-Image Translation for Urban Scene ImagesZongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama. icassp 2021: 2150-2154 [doi]

Triplet Self-Supervised Learning for Gastritis Detection with Scarce AnnotationsGuang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama. gcce 2021: 787-788 [doi]

Cross-view Self-supervised Learning via Momentum Statistics in Batch NormalizationGuang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama. icce-tw 2021: 1-2 [doi]

Deterioration level estimation via neural network maximizing category-based ordinally supervised multi-view canonical correlationKeisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama. mta, 80(15):23091-23112, 2021. [doi]

Reliable Estimation of Deterioration Levels via Late Fusion Using Multi-View Distress Images for Practical InspectionKeisuke Maeda, Naoki Ogawa, Takahiro Ogawa, Miki Haseyama. jimaging, 7(12):273, 2021. [doi]

Sports Action Detection Based on Self-Supervised Feature Learning and Object DetectionTsuyoshi Masuda, Ren Togo, Takahiro Ogawa, Miki Haseyama. gcce 2021: 54-55 [doi]

Supervised Fractional-Order Embedding Multiview Canonical Correlation Analysis via Ordinal Label Dequantization for Image Interest EstimationMasanao Matsumoto, Naoki Saito 0006, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. access, 9:21810-21822, 2021. [doi]

Multi-Modal Label Dequantized Gaussian Process Latent Variable Model for Ordinal Label EstimationMasanao Matsumoto, Keisuke Maeda, Naoki Saito 0006, Takahiro Ogawa, Miki Haseyama. icassp 2021: 3985-3989 [doi]

Human Emotion Estimation Using Multi-Modal Variational AutoEncoder with Time ChangesYuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. lifetech 2021: 67-68 [doi]

Disentangled Representation Learning in Real-World Image Datasets via Image Segmentation PriorNao Nakagawa, Ren Togo, Takahiro Ogawa, Miki Haseyama. access, 9:110880-110888, 2021. [doi]

Distress Image Retrieval for Infrastructure Maintenance via Self-Trained Deep Metric Learning Using Experts' KnowledgeNaoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. access, 9:65234-65245, 2021. [doi]

Degradation Level Estimation of Road Structures via Attention Branch Network with Text DataNaoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. icce-tw 2021: 1-2 [doi]

Action Classification from Egocentric Videos Using Reinforcement Learning-based Pose EstimationShunya Ohaga, Ren Togo, Takahiro Ogawa, Miki Haseyama. gcce 2021: 9-10 [doi]

Graph Analysis-based Recommendation via Entity Embeddings Using WikipediaNozomu Onodera, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. gcce 2021: 5-6 [doi]

Music Playlist Generation Based on Graph Exploration Using Reinforcement LearningKeigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama. lifetech 2021: 53-54 [doi]

Listener Recommendation for Artist Based on Knowledge Graph and Reinforcement LearningKeigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama. gcce 2021: 202-203 [doi]

User Background Information-Aware Music Recommendation with Reinforcement Learning-Based Knowledge Graph ExplorationKeigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama. icce-tw 2021: 1-2 [doi]

Human-Centered Favorite Music Classification Using EEG-Based Individual Music Preference Via Deep Time-Series CCARyosuke Sawata, Takahiro Ogawa, Miki Haseyama. icassp 2021: 1320-1324 [doi]

Estimating Imagined Images from Brain Activities via Visual Question AnsweringSaya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama. gcce 2021: 35-36 [doi]

Question Answering from Brain Activity Data via Decoder Based on Neural NetworksSaya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama. lifetech 2021: 51-52 [doi]

Rubber Material Property Prediction Using Electron Microscope Images of Internal Structures Taken under Multiple ConditionsRen Togo, Naoki Saito 0006, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. sensors, 21(6):2088, 2021. [doi]

Text-Guided Style Transfer-Based Image Manipulation Using Multimodal Generative ModelsRen Togo, Megumi Kotera, Takahiro Ogawa, Miki Haseyama. access, 9:64860-64870, 2021. [doi]

Text-Guided Image Manipulation for Desired Region Using Referring Image SegmentationYuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. gcce 2021: 661-662 [doi]

Movie Rating Estimation Based on Weakly Supervised Multi-modal Latent Variable ModelKoshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. gcce 2021: 195-196 [doi]

Database-adaptive Re-ranking for Enhancing Cross-modal Image RetrievalRintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama. mm 2021: 3816-3825 [doi]

IR Questioner: QA-based Interactive Retrieval SystemRintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama. mir 2021: 611-614 [doi]

Visual Sentiment Prediction Using Few-shot Learning via Distribution Relations of Visual FeaturesYingrui Ye, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. gcce 2021: 191-192 [doi]

Detection of Off-screen Sound Based on Loss Function of Self-supervised Audio-visual SpatializationMasaki Yoshida, Ren Togo, Takahiro Ogawa, Miki Haseyama. gcce 2021: 193-194 [doi]

Defense Against Image Captioning Attacks via A Robust and Stable Recurrent Neural NetworkJiahuan Zhang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. gcce 2021: 785-786 [doi]

2020

Estimation of Images Matched with Audio-Induced Brain Activity via Modified DGCCAYun Liang 0014, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. gcce 2020: 940-941 [doi]

Brain Decoding of Viewed Image Categories via Semi-Supervised Multi-View Bayesian Generative ModelYusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama. tsp, 68:5769-5781, 2020. [doi]

Multi-View Bayesian Generative Model for Multi-Subject FMRI Data on Brain Decoding of Viewed Image CategoriesYusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama. icassp 2020: 1215-1219 [doi]

Similar scene retrieval in soccer videos with weak annotations by multimodal use of bidirectional LSTMTomoki Haruyama, Sho Takahashi, Takahiro Ogawa, Miki Haseyama. mmasia 2021: [doi]

Estimation of Viewed Images Using Individual and Shared Brain ResponsesTakaaki Higashi, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. gcce 2020: 716-717 [doi]

Cross-domain Recommendation via Multi-layer Graph Analysis Using User-item EmbeddingTaisei Hirakawa, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama. gcce 2020: 714-715 [doi]

Important Scene Detection Of Baseball Videos Via Time-Lag Aware Deep Multiset Canonical Correlation MaximizationKaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. icip 2020: 1236-1240 [doi]

Important Scene Prediction of Baseball Videos Using Twitter and Video Analysis Based on LSTMKaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. gcce 2020: 636-637 [doi]

Mvgan Maximizing Time-Lag Aware Canonical Correlation for Baseball Highlight GenerationKaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. icmcs 2020: 1-6 [doi]

Important Scene Detection Based on Anomaly Detection using Long Short-Term Memory for Baseball Highlight GenerationKaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. icce-tw 2020: 1-2 [doi]

Human-centered image classification via a neural network considering visual and biological featuresKazaha Horii, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. mta, 79(7-8):4395-4415, 2020. [doi]

Interest Level Estimation Based on Feature Integration Considering Distribution of Partially Paired User's Behavior, Videos and PostersKyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. gcce 2020: 944-945 [doi]

Chronic gastritis classification using gastric X-ray images with a semi-supervised learning method based on tri-trainingZongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama. mbec, 58(6):1239-1250, 2020. [doi]

Soft-Label Anonymous Gastric X-Ray Image DistillationGuang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama. icip 2020: 305-309 [doi]

Complexity Evaluation of Medical Image Data for Classification Problem Based on Spectral ClusteringGuang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama. gcce 2020: 667-669 [doi]

Variational Autoencoder Based Unsupervised Domain Adaptation For Semantic SegmentationZongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama. icip 2020: 2426-2430 [doi]

Unsupervised Domain Adaptation for Semantic Segmentation with Symmetric Adaptation ConsistencyZongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama. icassp 2020: 2263-2267 [doi]

Multi-Task Convolutional Neural Network Leading to High Performance and Interpretability via Attribute EstimationKeisuke Maeda, Kazaha Horii, Takahiro Ogawa, Miki Haseyama. ieiceta, 103-A(12):1609-1612, 2020. [doi]

Estimation of Interest Levels From Behavior Features via Tensor Completion Including Adaptive Similar User SelectionKeisuke Maeda, Tetsuya Kushima, Sho Takahashi, Takahiro Ogawa, Miki Haseyama. access, 8:126109-126118, 2020. [doi]

Supervised Fractional-Order Embedding Geometrical Multi-View CCA (SFGMCCA) for Multiple Feature IntegrationKeisuke Maeda, Yoshiki Ito, Takahiro Ogawa, Miki Haseyama. access, 8:114340-114353, 2020. [doi]

Feature Integration Via Geometrical Supervised Multi-View Multi-Label Canonical Correlation For Incomplete Label AssignmentKeisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama. icip 2020: 46-50 [doi]

Context-Aware Network Analysis of Music Streaming Services for Popularity Estimation of ArtistsYui Matsumoto, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama. access, 8:48673-48685, 2020. [doi]

Interest Estimation for Images Using Eye Gaze-based Visual and Text Features via DLPCCAMasanao Matsumoto, Naoki Saito 0006, Takahiro Ogawa, Miki Haseyama. lifetech 2020: 3-4 [doi]

Tensor-Based Emotional Category Classification via Visual Attention-Based Heterogeneous CNN Feature FusionYuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. sensors, 20(7):2146, 2020. [doi]

Few-Shot Personalized Saliency Prediction Based on Adaptive Image Selection Considering Object and Visual AttentionYuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. sensors, 20(8):2170, 2020. [doi]

Human-Centric Emotion Estimation Based on Correlation Maximization Considering Changes With Time in Visual Attention and Brain ActivityYuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. access, 8:203358-203368, 2020. [doi]

Estimation of Person-Specific Visual Attention via Selection of Similar PersonsYuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. icce-tw 2020: 1-2 [doi]

Estimation of User-Specific Visual Attention Considering Individual Tendency toward Gazed ObjectsYuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. gcce 2020: 745-746 [doi]

Face Synthesis via User Manipulation of Disentangled Latent RepresentationNao Nakagawa, Ren Togo, Takahiro Ogawa, Miki Haseyama. gcce 2020: 692-693 [doi]

Inpainting via Sparse Representation Based on a Phaseless Quality MetricTakahiro Ogawa, Keisuke Maeda, Miki Haseyama. ieiceta, 103-A(12):1541-1551, 2020. [doi]

Distress Level Classification of Road Infrastructures via CNN Generating Attention MapNaoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. lifetech 2020: 97-98 [doi]

Music Playlist Generation Based on Reinforcement Learning Using Acoustic Feature MapKeigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama. gcce 2020: 942-943 [doi]

An Estimation Method of Candidate Region for Superimposing Information Based on Gaze Tracking Data in Soccer VideosGenki Suzuki, Sho Takahashi, Takahiro Ogawa, Miki Haseyama. icce-tw 2020: 1-2 [doi]

Quantitative Analysis of Engineer's Skill Using Wearable Sensor Data while Inspecting Highway BridgeGenki Suzuki, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. lifetech 2020: 111-112 [doi]

Estimating Viewed Images with Natural Language Question Answering from fMRI DataSaya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama. lifetech 2020: 99-100 [doi]

Estimation Of Visual Contents Based On Question Answering From Human Brain ActivitySaya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama. icip 2020: 61-65 [doi]

Question Answering for Estimation of Seen Image Contents from Multi-subject fMRI ResponsesSaya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama. gcce 2020: 712-713 [doi]

Generation of Viewed Image Captions From Human Brain Activity Via Unsupervised Text Latent SpaceSaya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama. icip 2020: 2521-2525 [doi]

Deep convolutional neural network-based anomaly detection for organ classification in gastric X-ray examinationRen Togo, Haruna Watanabe, Takahiro Ogawa, Miki Haseyama. cbm, 123:103903, 2020. [doi]

Multimodal Image-to-Image Translation for Generation of Gastritis ImagesRen Togo, Takahiro Ogawa, Miki Haseyama. icip 2020: 2466-2470 [doi]

Enhancing Cross-Modal Retrieval Based on Modality-Specific and Embedding SpacesRintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama. access, 8:96777-96786, 2020. [doi]

Image Retrieval with Data Augmentation of Sentence Labels Based on ParaphrasingRintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama. icce-tw 2020: 1-2 [doi]

Image Retrieval With Lingual And Visual Paraphrasing Via Generative ModelsRintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama. icip 2020: 2431-2435 [doi]

Interactive re-ranking for cross-modal retrieval based on object-wise question answeringRintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama. mmasia 2021: [doi]

Heterogeneous-Graph-Based Video Search Reranking Using Topic RelevanceSoh Yoshida, Mitsuji Muneyasu, Takahiro Ogawa, Miki Haseyama. ieiceta, 103-A(12):1529-1540, 2020. [doi]

2019

Estimating Viewed Image Categories from fMRI Activity via Multi-view Bayesian Generative ModelYusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama. gcce 2019: 127-128 [doi]

Consensus Clustering of Tweet Networks via Semantic and Sentiment Similarity EstimationRyosuke Harakawa, Shoji Takimura, Takahiro Ogawa, Miki Haseyama, Masahiro Iwahashi. access, 7:116207-116217, 2019. [doi]

Interest Level Estimation Based on Tensor Completion via Feature Integration for Partially Paired User's Behavior and VideosTetsuya Kushima, Sho Takahashi, Takahiro Ogawa, Miki Haseyama. access, 7:148576-148585, 2019. [doi]

Convolutional sparse coding-based deep random vector functional link network for distress classification of road structuresKeisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama. cacie, 34(8):654-676, 2019. [doi]

Music Video Recommendation Based on Link Prediction Considering Local and Global Structures of a NetworkYui Matsumoto, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama. access, 7:104155-104167, 2019. [doi]

Estimation of User-Specific Visual Attention Based on Gaze Information of Similar UsersYuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. gcce 2019: 477-478 [doi]

Young Professionals Activities at GCCE 2018 [Society News]Takahiro Ogawa, Shingo Yamaguchi. cem, 8(3):6-7, 2019. [doi]

Novel Audio Feature Projection Using KDLPCCA-Based Correlation with EEG Features for Favorite Music ClassificationRyosuke Sawata, Takahiro Ogawa, Miki Haseyama. taffco, 10(3):430-444, 2019. [doi]

Team Tactics Estimation in Soccer Videos Based on a Deep Extreme Learning Machine and Characteristics of the TacticsGenki Suzuki, Sho Takahashi, Takahiro Ogawa, Miki Haseyama. access, 7:153238-153248, 2019. [doi]

Cardiac sarcoidosis classification with deep convolutional neural network-based features using polar mapsRen Togo, Kenji Hirata, Osamu Manabe, Hiroshi Ohira, Ichizo Tsujino, Keiichi Magota, Takahiro Ogawa, Miki Haseyama, Tohru Shiga. cbm, 104:81-86, 2019. [doi]

Estimating Regions of Deterioration in Electron Microscope Images of Rubber Materials via a Transfer Learning-Based Anomaly Detection ModelRen Togo, Naoki Saito 0006, Takahiro Ogawa, Miki Haseyama. access, 7:162395-162404, 2019. [doi]

Synthetic Gastritis Image Generation via Loss Function-Based Conditional PGGANRen Togo, Takahiro Ogawa, Miki Haseyama. access, 7:87448-87457, 2019. [doi]

Query is GAN: Scene Retrieval With Attentional Text-to-Image Generative Adversarial NetworkRintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama. access, 7:153183-153193, 2019. [doi]

Text-to-Image GAN-Based Scene Retrieval and Re-Ranking Considering Word ImportanceRintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama. access, 7:169920-169930, 2019. [doi]

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