A novel image recognition method based on feature-extraction vector scheme. - Masatoshi Hiramoto; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2004)

Reconstruction method of missing texture using error reduction algorithm. - Takahiro Ogawa 001; Miki Haseyama; Hideo Kitajima (ICIP (2), 2005)

Restoration method of missing areas in still images using GMRF model. - Takahiro Ogawa 001; Miki Haseyama; Hideo Kitajima (ISCAS (5), 2005)

An Accurate IFS-Based Image Enlargement Method using Line Process. - Norihiro Kakukou; Takahiro Ogawa 001; Miki Haseyama; Hideo Kitajima (ICIP, 2006)

Restoration of missing intensity of still images by using optical flow. - Takahiro Ogawa 001; Miki Haseyama; Hideo Kitajima (Syst. Comput. Jpn., 2006)

Adaptive Reconstruction Method of Missing Texture Based on Projection Onto Convex Sets. - Takahiro Ogawa 001; Miki Haseyama (ICASSP (1), 2007)

POCS-Based Iterative Reconstruction Algorithm of Missing Textures. - Takahiro Ogawa 001; Miki Haseyama (ICIP (3), 2007)

POCS-Based Texture Reconstruction Method Using Clustering Scheme by Kernel PCA. - Takahiro Ogawa 001; Miki Haseyama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2007)

Image recognition method using intensity gradient vectors. - Masao Hiramoto; Takahiro Ogawa 001; Miki Haseyama (Syst. Comput. Jpn., 2007)

A Kalman filter-based approach for adaptive restoration of in-vehicle camera foggy images. - Tomoki Hiramatsu; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2008)

An effective detection method of rotational and divergent structures in still images based on Helmholtz decomposition. - Norihiro Kakukou; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2008)

Kernel PCA-based semantic feature estimation approach for similar image retrieval. - Takahiro Ogawa 001; Miki Haseyama (ICIP, 2008)

POCS-Based Annotation Method Using Kernel PCA for Semantic Image Retrieval. - Takahiro Ogawa 001; Miki Haseyama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2008)

An effective flowestimation method with particle filter based on Helmholtz decomposition theorem. - Norihiro Kakukou; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2009)

Adaptive reconstruction method of missing textures based on kernel canonical correlation analysis. - Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2009)

A Web community-based video retrieval method using canonical correlation analysis. - Yasutaka Hatakeyama; Takahiro Ogawa 001; Satoshi Asamizu; Miki Haseyama (ICIP, 2009)

A Novel Video Retrieval Method Based on Web Community Extraction Using Features of Video Materials. - Yasutaka Hatakeyama; Takahiro Ogawa 001; Satoshi Asamizu; Miki Haseyama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2009)

A Kalman Filter-Based Method for Restoration of Images Obtained by an In-Vehicle Camera in Foggy Conditions. - Tomoki Hiramatsu; Takahiro Ogawa 001; Miki Haseyama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2009)

An ER Algorithm-Based Method for Removal of Adherent Water Drops from Images Obtained by a Rear View Camera Mounted on a Vehicle in Rainy Conditions. - Tomoki Hiramatsu; Takahiro Ogawa 001; Miki Haseyama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2009)

Adaptive Missing Texture Reconstruction Method Based on Kernel Canonical Correlation Analysis with a New Clustering Scheme. - Takahiro Ogawa 001; Miki Haseyama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2009)

Kalman Filter-Based Error Concealment for Video Transmission. - Shigeki Takahashi; Takahiro Ogawa 001; Hirokazu Tanaka; Miki Haseyama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2009)

The simplest measurement matrix for compressed sensing of natural images. - Zaixing He; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2010)

Adaptive reconstruction method of missing textures based on inverse projection via sparse representation. - Takahiro Ogawa 001; Miki Haseyama (ICME, 2010)

Missing Texture Reconstruction Method Based on Perceptually Optimized Algorithm. - Takahiro Ogawa 001; Miki Haseyama (EURASIP J. Adv. Signal Process., 2010)

Error-Resilient 3-D Wavelet Video Coding with Duplicated Lowest Sub-Band Coefficients and Two-Step Error Concealment Method. - Sunmi Kim; Hirokazu Tanaka; Takahiro Ogawa 001; Miki Haseyama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2010)

Linear time decoding of real-field codes over high error rate channels. - Zaixing He; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2011)

Adaptive reconstruction method of missing textures based on perceptually optimized algorithm. - Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2011)

Adaptive KPCA-based missing texture reconstruction approach including classification scheme via difference subspaces. - Takahiro Ogawa 001; Miki Haseyama (ICIP, 2011)

Adaptive Single Image Superresolution Approach Using Support Vector Data Description. - Takahiro Ogawa 001; Miki Haseyama (EURASIP J. Adv. Signal Process., 2011)

Adaptive example-based super-resolution using kernel PCA with a novel classification approach. - Takahiro Ogawa 001; Miki Haseyama (EURASIP J. Adv. Signal Process., 2011)

Music recommendation according to human motion based on kernel CCA-based relationship. - Hiroyuki Ohkushi; Takahiro Ogawa 001; Miki Haseyama (EURASIP J. Adv. Signal Process., 2011)

Cross Low-Dimension Pursuit for Sparse Signal Recovery from Incomplete Measurements Based on Permuted Block Diagonal Matrix. - Zaixing He; Takahiro Ogawa 001; Miki Haseyama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2011)

Missing Intensity Interpolation Using a Kernel PCA-Based POCS Algorithm and its Applications. - Takahiro Ogawa 001; Miki Haseyama (IEEE Trans. Image Process., 2011)

Missing Image Data Reconstruction Based on Adaptive Inverse Projection via Sparse Representation. - Takahiro Ogawa 001; Miki Haseyama (IEEE Trans. Multim., 2011)

Image inpainting by block-based linear regression with optimal block selection. - Akira Tanaka; Takahiro Ogawa 001; Miki Haseyama (APSIPA, 2012)

A cross-modal approach for extracting semantic relationships of concepts from an image database. - Marie Katsurai; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2012)

Perceptually optimized subspace estimation for missing texture reconstruction. - Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2012)

A Novel Framework for Extracting Visual Feature-Based Keyword Relationships from an Image Database. - Marie Katsurai; Takahiro Ogawa 001; Miki Haseyama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2012)

Performance of Spatial and Temporal Error Concealment Method for 3D DWT Video Coding in Packet Loss Channel. - Hirokazu Tanaka; Sunmi Kim; Takahiro Ogawa 001; Miki Haseyama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2012)

A rating prediction method for e-commerce application using ordinal regression based on LDA with multi-modal features. - Takayuki Kawashima; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2013)

Vocal segment estimation in music pieces based on collaborative use of EEG and audio features. - Takuya Kawakami; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2013)

An extraction method of hierarchical Web communities for Web video retrieval. - Ryosuke Harakawa; Yasutaka Hatakeyama; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2013)

Spectral reflectance estimation from visible light components and near-infrared components. - Yuta Igarashi; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2013)

KCFA-based missing area restoration including new priority estimation. - Takahiro Ogawa 001; Miki Haseyama (ICIP, 2013)

Insect classification using Scanning Electron Microphotographs considering magnifications. - Akihiro Takahashi; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2013)

Image inpainting based on sparse representations with a perceptual metric. - Takahiro Ogawa 001; Miki Haseyama (EURASIP J. Adv. Signal Process., 2013)

Super-resolution for simultaneous realization of resolution enhancement and motion blur removal based on adaptive prior settings. - Takahiro Ogawa 001; Daisuke Izumi; Akane Yoshizaki; Miki Haseyama (EURASIP J. Adv. Signal Process., 2013)

Trial Realization of Human-Centered Multimedia Navigation for Video Retrieval. - Miki Haseyama; Takahiro Ogawa 001 (Int. J. Hum. Comput. Interact., 2013)

Missing Texture Reconstruction Method Based on Error Reduction Algorithm Using Fourier Transform Magnitude Estimation Scheme. - Takahiro Ogawa 001; Miki Haseyama (IEEE Trans. Image Process., 2013)

Popular music estimation based on topic model using time information and audio features. - Shohei Kinoshita; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2014)

Bayesian network-based distress estimation using image features in road structure assessment. - Keisuke Maeda; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2014)

Missing audio segment reconstruction based on sparse representation with power spectrogram. - Yuma Tanaka; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2014)

Effective multiple feature fusion using topic model for social image visualization. - Kouhei Tateno; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2014)

Novel image classification based on decision-level fusion of EEG and visual features. - Takuya Kawakami; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2014)

Missing intensity restoration via perceptually optimized subspace projection based on entropy component analysis. - Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2014)

Helicobacter pylori infection detection from multiple X-ray images based on decision level fusion. - Kenta Ishihara; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2014)

2D semi-supervised CCA-based inpainting including new priority estimation. - Takahiro Ogawa 001; Miki Haseyama (ICIP, 2014)

A new method for error degree estimation in numerical weather prediction via MKDA-based ordinal regression. - Takahiro Ogawa 001; Shintaro Takahashi; Sho Takahashi; Miki Haseyama (EURASIP J. Adv. Signal Process., 2014)

Player Tracking in Far-View Soccer Videos Based on Composite Energy Function. - Kazuya Iwai; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (IEICE Trans. Inf. Syst., 2014)

Random combination for information extraction in compressed sensing and sparse representation-based pattern recognition. - Zaixing He; Xinyue Zhao; Shuyou Zhang 001; Takahiro Ogawa 001; Miki Haseyama (Neurocomputing, 2014)

Adaptive missing texture reconstruction method based on kernel cross-modal factor analysis with a new evaluation criterion. - Takahiro Ogawa 001; Miki Haseyama (Signal Process., 2014)

A Cross-Modal Approach for Extracting Semantic Relationships Between Concepts Using Tagged Images. - Marie Katsurai; Takahiro Ogawa 001; Miki Haseyama (IEEE Trans. Multim., 2014)

Helicobacter pylori infection detection from gastric X-ray images using KLFDA-based decision fusion. - Kenta Ishihara; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2015)

LDA-based music recommendation with CF-based similar user selection. - Shohei Kinoshita; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2015)

Video genre estimation from relationship between motion and facial features using SLPCCA. - Yuma Sasaka; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2015)

Image classification based on integration of EEG and visual features Via LFDA-MSLPCCA. - Kento Sugata; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2015)

Missing texture reconstruction via power spectrum-based sparse representation. - Yuma Tanaka; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2015)

Web image visualization considering image content based on visual and tag features. - Kouhei Tateno; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2015)

Novel image classification based on integration of EEG and visual features via MSLPCCA. - Takuya Kawakami; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2015)

Missing intensity restoration via adaptive selection of perceptually optimized subspaces. - Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2015)

Human-centered favorite music estimation: EEG-based extraction of audio features reflecting individual preference. - Ryosuke Sawata; Takahiro Ogawa 001; Miki Haseyama (DSP, 2015)

Algorithm for sparse representation minimizing mean square error of power spectrograms. - Yuma Tanaka; Takahiro Ogawa 001; Miki Haseyama (DSP, 2015)

Extraction of hierarchical structure of web communities including salient keyword estimation for web video retrieval. - Ryosuke Harakawa; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2015)

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 001; Miki Haseyama (ICIP, 2015)

Automatic detection of martian dust storms from heterogeneous data based on decision level fusion. - Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2015)

Heterogeneous Graph-based Video Search Reranking using Web Knowledge via Social Media Network. - Soh Yoshida; Takahiro Ogawa 001; Miki Haseyama (ACM Multimedia, 2015)

Perceptually Optimized Missing Texture Reconstruction via Neighboring Embedding. - Takahiro Ogawa 001; Miki Haseyama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2015)

Bregman pooling: feature-space local pooling for image classification. - Alameen Najjar; Takahiro Ogawa 001; Miki Haseyama (Int. J. Multim. Inf. Retr., 2015)

Automatic Martian Dust Storm Detection from Multiple Wavelength Data Based on Decision Level Fusion. - Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (IPSJ Trans. Comput. Vis. Appl., 2015)

Image retrieval for identification of insects based on saliency map and distance metric learning. - Susumu Genma; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2016)

Different language association using mutual information between tags and visual features. - Shota Hamano; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2016)

Novel video feature-based favorite video estimation using users' viewing behavior and evaluation. - Yoshiki Ito; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2016)

A tourism category classification method based on estimation of reliable decision. - Naoki Saito 006; Takahiro Ogawa 001; Satoshi Asamizu; Miki Haseyama (GCCE, 2016)

Retrieval of similar inspection records based on metric learning using experienced inspectors' evaluation. - Ryota Saito; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2016)

Estimating human emotion evoked by visual stimuli using fMRI data. - Kento Sugata; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2016)

Decision level fusion-based team tactics estimation in soccer videos. - Genki Suzuki; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2016)

Tracking hierarchical structure of web video groups based on salient keyword matching including semantic broadness estimation. - Ryosuke Harakawa; Takahiro Ogawa 001; Miki Haseyama (GlobalSIP, 2016)

Novel favorite music classification using EEG-based optimal audio features selected via KDLPCCA. - Ryosuke Sawata; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2016)

Distress classification of road structures via decision level fusion. - Keisuke Maeda; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (DSP, 2016)

Hierarchical content group detection from different social media platforms using Web link structure. - Daichi Takehara; Ryosuke Harakawa; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2016)

Graph-based web video search reranking through consistency analysis using spectral clustering. - Soh Yoshida; Takahiro Ogawa 001; Miki Haseyama (ICME, 2016)

An accurate mortality prediction method based on decision-level fusion of existing ICU scoring systems. - Yasutaka Hatakeyama; Takahiro Ogawa 001; Hirokazu Tanaka; Miki Haseyama (ISITA, 2016)

Multimodal Interest Level Estimation via Variational Bayesian Mixture of Robust CCA. - Yuma Sasaka; Takahiro Ogawa 001; Miki Haseyama (ACM Multimedia, 2016)

Estimation of salient regions related to chronic gastritis using gastric X-ray images. - Ren Togo; Kenta Ishihara; Takahiro Ogawa 001; Miki Haseyama (Comput. Biol. Medicine, 2016)

A Most Resource-Consuming Disease Estimation Method from Electronic Claim Data Based on Labeled LDA. - Yasutaka Hatakeyama; Takahiro Ogawa 001; Hironori Ikeda; Miki Haseyama (IEICE Trans. Inf. Syst., 2016)

Classifying Insects from SEM Images Based on Optimal Classifier Selection and D-S Evidence Theory. - Takahiro Ogawa 001; Akihiro Takahashi; Miki Haseyama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016)

Improvement of video coding efficiency based on sparse contractive mapping approach. - Zaixing He; Takahiro Ogawa 001; Sho Takahashi; Miki Haseyama; Xinyue Zhao (Neurocomputing, 2016)

A Web video retrieval method using hierarchical structure of Web video groups. - Ryosuke Harakawa; Takahiro Ogawa 001; Miki Haseyama (Multim. Tools Appl., 2016)

NMF-Based Spectral Reflectance Estimation From Image Pairs Including Near-Infrared Components. - Takahiro Ogawa 001; Yuta Igarashi; Miki Haseyama (IEEE Trans. Circuits Syst. Video Technol., 2016)

Adaptive Subspace-Based Inverse Projections via Division Into Multiple Sub-Problems for Missing Image Data Restoration. - Takahiro Ogawa 001; Miki Haseyama (IEEE Trans. Image Process., 2016)

Image classification for trend prediction based on integration of fNIRS and visual features. - Kazaha Horii; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2017)

Preference estimation for video recommendation using DCNN features and viewing behavior. - Yoshiki Ito; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2017)

Aesthetic quality assessment of images via Supervised Locality Preserving CCA. - Misaki Kanai; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2017)

Interest level estimation based on matrix completion via rank minimization. - Tetsuya Kushima; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2017)

Construction of network using heterogeneous social metadata for music video recommendation. - Yui Matsumoto; Ryosuke Harakawa; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2017)

Personalized tweet recommendation based on field-aware factorization machines with adaptive field organization. - Shoji Takimura; Ryosuke Harakawa; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2017)

Video preference estimation using fNIRS signals. - Akira Toyoda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2017)

Personalized video preference estimation based on early fusion using multiple users' viewing behavior. - Yoshiki Ito; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2017)

Exemplar-based image completion via new quality measure based on phaseless texture features. - Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2017)

Emotion estimation via tensor-based supervised decision-level fusion from multiple Brodmann areas. - Kento Sugata; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2017)

Image retrieval based on LRGA algorithm and relevance feedback for insect identification. - Susumu Gerund; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2017)

Tag refinement based on multilingual tag hierarchies extracted from image folksonomy. - Shota Hamano; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2017)

Detection of gastric cancer risk from X-ray images via patch-based convolutional neural network. - Kenta Ishihara; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2017)

Automatic martian dust storm detection via decision level fusion basedondeep extreme learning machine. - Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2017)

Automatic estimation of deterioration level on transmission towers via deep extreme learning machine based on local receptive field. - Keisuke Maeda; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2017)

MvLFDA-based video preference estimation using complementary properties of features. - Akira Toyoda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2017)

Extracting Hierarchical Structure of Web Video Groups Based on Sentiment-Aware Signed Network Analysis. - Ryosuke Harakawa; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2017)

Helicobacter Pylori infection detection from gastric X-ray images based on feature fusion and decision fusion. - Kenta Ishihara; Takahiro Ogawa 001; Miki Haseyama (Comput. Biol. Medicine, 2017)

Biomimetics Image Retrieval Platform. - Miki Haseyama; Takahiro Ogawa 001; Sho Takahashi; Shuhei Nomura; Masatsugu Shimomura (IEICE Trans. Inf. Syst., 2017)

Wiener-Based Inpainting Quality Prediction. - Takahiro Ogawa 001; Akira Tanaka; Miki Haseyama (IEICE Trans. Inf. Syst., 2017)

Human-Centered Video Feature Selection via mRMR-SCMMCCA for Preference Extraction. - Takahiro Ogawa 001; Yoshiaki Yamaguchi; Satoshi Asamizu; Miki Haseyama (IEICE Trans. Inf. Syst., 2017)

Visualizing Web Images Using Fisher Discriminant Locality Preserving Canonical Correlation Analysis. - Kohei Tateno; Takahiro Ogawa 001; Miki Haseyama (IEICE Trans. Inf. Syst., 2017)

Distress Classification of Road Structures via Adaptive Bayesian Network Model Selection. - Keisuke Maeda; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (J. Comput. Civ. Eng., 2017)

Extracting hierarchical structure of content groups from different social media platforms using multiple social metadata. - Daichi Takehara; Ryosuke Harakawa; Takahiro Ogawa 001; Miki Haseyama (Multim. Tools Appl., 2017)

Estimation of Viewed Image Categories via CCA Using Human Brain Activity. - Yusuke Akamatsu; Ryosuke Harakawa; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2018)

Estimation of Important Scenes in Soccer Videos Based on Collaborative Use of Audio-Visual CNN Features. - Tomoki Haruyama; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2018)

Blood Circulation Based on PPG Signals for Thermal Comfort Evaluation. - Ken Kawakami; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2018)

Detection of Deformed PPG Waveforms Based on a Ratio of Their Average Accelerations. - Ken Kawakami; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2018)

Missing Image Data Estimation via Iterative Convolutional Sparse Coding. - Masanao Matsumoto; Naoki Saito 006; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2018)

User-centric Visual Attention Estimation Based on Relationship between Image and Eye Gaze Data. - Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2018)

Team Tactics Estimation in Soccer Videos via Deep Extreme Learning Machine Based on Players Formation. - Genki Suzuki; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2018)

Twitter Followee Recommendation Based on Multimodal FFM Considering Social Relations. - Shoji Takimura; Ryosuke Harakawa; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2018)

Image Retrieval from Vague Description Based on AttnGAN. - Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2018)

Sfemcca: Supervised Fractional-Order Embedding Multiview Canonical Correlation Analysis for Video Preference Estimation. - Yoshiki Ito; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2018)

Semi-Supervised Multiple Feature Fusion for Video Preference Estimation. - Akira Toyoda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2018)

A Human-Centered Neural Network Model with Discriminative Locality Preserving Canonical Correlation Analysis for Image Classification. - Kazaha Horii; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2018)

Anonymous Gastritis Image Generation via Adversarial Learning from Gastric X-Ray Images. - Ren Togo; Kenta Ishihara; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2018)

Interest Level Estimation of Items via Matrix Completion Based on Adaptive User Matrix Construction. - Tetsuya Kushima; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (ICME, 2018)

Simultaneous Realization of Multiple Music Video Applications Based on Heterogeneous Network Analysis Via Latent Link Estimation. - Yui Matsumoto; Ryosuke Harakawa; Takahiro Ogawa 001; Miki Haseyama (ICME, 2018)

Tourism Category Classification on Image Sharing Services Through Estimation of Existence of Reliable Results. - Naoki Saito 006; Takahiro Ogawa 001; Satoshi Asamizu; Miki Haseyama (ICMR, 2018)

A Language-Independent Ontology Construction Method Using Tagged Images in Folksonomy. - Shota Hamano; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2018)

Favorite Video Classification Based on Multimodal Bidirectional LSTM. - Takahiro Ogawa 001; Yuma Sasaka; Keisuke Maeda; Miki Haseyama (IEEE Access, 2018)

A Novel Framework for Estimating Viewer Interest by Unsupervised Multimodal Anomaly Detection. - Yuma Sasaka; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2018)

Selection of Significant Brain Regions Based on MvGTDA and TS-DLF for Emotion Estimation. - Kento Sugata; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2018)

Favorite Video Estimation Based on Multiview Feature Integration via KMvLFDA. - Akira Toyoda; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2018)

Distress classification of class-imbalanced inspection data via correlation-maximizing weighted extreme learning machine. - Keisuke Maeda; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (Adv. Eng. Informatics, 2018)

Accurate Estimation of Personalized Video Preference Using Multiple Users' Viewing Behavior. - Yoshiki Ito; Takahiro Ogawa 001; Miki Haseyama (IEICE Trans. Inf. Syst., 2018)

Binary Sparse Representation Based on Arbitrary Quality Metrics and Its Applications. - Takahiro Ogawa 001; Sho Takahashi; Naofumi Wada; Akira Tanaka; Miki Haseyama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2018)

Estimating the Quality of Fractal Compressed Images Using Lacunarity. - Megumi Takezawa; Hirofumi Sanada; Takahiro Ogawa 001; Miki Haseyama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2018)

Graph-Based Video Search Reranking with Local and Global Consistency Analysis. - Soh Yoshida; Takahiro Ogawa 001; Miki Haseyama; Mitsuji Muneyasu (IEICE Trans. Inf. Syst., 2018)

Estimation of Deterioration Levels of Transmission Towers via Deep Learning Maximizing Canonical Correlation Between Heterogeneous Features. - Keisuke Maeda; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (IEEE J. Sel. Top. Signal Process., 2018)

Tracking topic evolution via salient keyword matching with consideration of semantic broadness for Web video discovery. - Ryosuke Harakawa; Takahiro Ogawa 001; Miki Haseyama (Multim. Tools Appl., 2018)

Sentiment-aware personalized tweet recommendation through multimodal FFM. - Ryosuke Harakawa; Daichi Takehara; Takahiro Ogawa 001; Miki Haseyama (Multim. Tools Appl., 2018)

Estimating Viewed Image Categories from fMRI Activity via Multi-view Bayesian Generative Model. - Yusuke Akamatsu; Ryosuke Harakawa; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2019)

Multimodal Retrieval of Similar Soccer Videos Based on Optimal Combination of Multiple Distance Measures. - Tomoki Haruyama; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2019)

Semantic Shot Classification in Baseball Videos Based on Similarities of Visual Features. - Kaito Hirasawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2019)

Aesthetic Style Transfer through Text-to-image Synthesis and Image-to-image Translation. - Megumi Kotera; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2019)

Interest Estimation for Images Based on Eye Gaze-based Visual and Text Features. - Masanao Matsumoto; Naoki Saito 006; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2019)

Estimation of User-Specific Visual Attention Based on Gaze Information of Similar Users. - Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2019)

Region-based Distress Classification of Road Infrastructures via CNN without Region Annotation. - Naoki Ogawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2019)

The Extraction of Individual Music Preference Based on Deep Time-series CCA. - Ryosuke Sawata; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2019)

A Method for Predicting Importance of Attack Players Based on Multiple Gaze Tracking Data in Soccer Videos. - Genki Suzuki; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2019)

Effectiveness Evaluation of Deep Features for Image Reconstruction from fMRI Signals. - Saya Takada; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2019)

Detection of Distress Region from Subway Tunnel Images via U-net-based Deep Semantic Segmentation. - An Wang; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2019)

Performance Prediction Method of Examinees Based on Matrix Completion. - Yutaka Yamada; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2019)

Estimation of Drilling Energy from Tunnel Cutting Face Image Based on Online Learning. - Kentaro Yamamoto; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2019)

Scene Retrieval Using Text-to-image GAN-based Visual Similarities and Image-to-text Model-based Textual Similarities. - Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2019)

Voice-Input Multimedia Information Retrieval System Based on Text-to-image GAN. - Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2019)

Estimating Viewed Image Categories from Human Brain Activity via Semi-supervised Fuzzy Discriminative Canonical Correlation Analysis. - Yusuke Akamatsu; Ryosuke Harakawa; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2019)

Multi-feature Fusion Based on Supervised Multi-view Multi-label Canonical Correlation Projection. - Keisuke Maeda; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2019)

Convolutional Sparse Coding-based Anomalous Event Detection in Surveillance Videos. - Masanao Matsumoto; Naoki Saito 006; Takahiro Ogawa 001; Miki Haseyama (ICCE-TW, 2019)

Bilingual Lexicon Learning Using Tagged Images via Graph Trilateral Filter-based Feature Refinement. - Yui Matsumoto; Shota Hamano; Ryosuke Harakawa; Takahiro Ogawa 001; Miki Haseyama (ICCE-TW, 2019)

User-Specific Visual Attention Estimation Based on Visual Similarity and Spatial Information in Images. - Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICCE-TW, 2019)

Gastritis Detection from Gastric X-Ray Images Via Fine-Tuning of Patch-Based Deep Convolutional Neural Network. - Misaki Kanai; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2019)

Neural Network Maximizing Ordinally Supervised Multi-View Canonical Correlation for Deterioration Level Estimation. - Keisuke Maeda; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2019)

Estimation of Emotion Labels via Tensor-Based Spatiotemporal Visual Attention Analysis. - Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2019)

Scene Retrieval for Video Summarization Based on Text-to-Image gan. - Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2019)

Synthetic Image Generation for Gastritis Detection Based on Auxiliary Classifier Generative Adversarial Network. - Misaki Kanai; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ISCAS, 2019)

Semi-Supervised Learning Based on Tri-Training for Gastritis Classification using Gastric X-ray Images. - Zongyao Li; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ISCAS, 2019)

Scene Retrieval from Multiple Resolution Generated Images Based on Text-to-Image GAN. - Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ISCAS, 2019)

Semi-supervised Discriminative CCA for Estimating Viewed Image Categories from fMRI Data. - Yusuke Akamatsu; Ryosuke Harakawa; Takahiro Ogawa 001; Miki Haseyama (LifeTech, 2019)

Fine-tuning of Pre-trained DCNN for Gastritis Detection from Gastric X-ray Images. - Misaki Kanai; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (LifeTech, 2019)

Estimation of users' interest levels using tensor completion with SemiCCA. - Tetsuya Kushima; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (LifeTech, 2019)

Classification of Subcellular Protein Patterns in Human Cells with Transfer Learning. - Zongyao Li; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (LifeTech, 2019)

Estimation of Emotions Evoked by Images Based on Multiple Gaze-based CNN Features. - Taiga Matsui; Naoki Saito 006; Takahiro Ogawa 001; Satoshi Asamizu; Miki Haseyama (LifeTech, 2019)

Chronic Gastritis Detection from Gastric X-ray Images via Deep Autoencoding Gaussian Mixture Models. - Masanao Matsumoto; Naoki Saito 006; Takahiro Ogawa 001; Miki Haseyama (LifeTech, 2019)

Estimation of Visual Attention via Canonical Correlation between Visual and Gaze-based Features. - Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (LifeTech, 2019)

Extraction of Regions Related to Cardiac Sarcoidosis in Polar Map Images. - Ren Togo; Takahiro Ogawa 001; Osamu Manabe; Kenji Hirata; Tohru Shiga; Miki Haseyama (LifeTech, 2019)

Video Classification Based on User Preferences with soft-bag Multiple Instance Learning. - Akira Toyoda; Takahiro Ogawa 001; Miki Haseyama (LifeTech, 2019)

Bone Metastatic Tumor Detection based on AnoGAN Using CT Images. - Haruna Watanabe; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (LifeTech, 2019)

Retrieval of Similar Scenes Based on Multimodal Distance Metric Learning in Soccer Videos. - Tomoki Haruyama; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (MMSports@MM, 2019)

Consensus Clustering of Tweet Networks via Semantic and Sentiment Similarity Estimation. - Ryosuke Harakawa; Shoji Takimura; Takahiro Ogawa 001; Miki Haseyama; Masahiro Iwahashi (IEEE Access, 2019)

Interest Level Estimation Based on Tensor Completion via Feature Integration for Partially Paired User's Behavior and Videos. - Tetsuya Kushima; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2019)

Music Video Recommendation Based on Link Prediction Considering Local and Global Structures of a Network. - Yui Matsumoto; Ryosuke Harakawa; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2019)

Team Tactics Estimation in Soccer Videos Based on a Deep Extreme Learning Machine and Characteristics of the Tactics. - Genki Suzuki; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2019)

Synthetic Gastritis Image Generation via Loss Function-Based Conditional PGGAN. - Ren Togo; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2019)

Estimating Regions of Deterioration in Electron Microscope Images of Rubber Materials via a Transfer Learning-Based Anomaly Detection Model. - Ren Togo; Naoki Saito 006; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2019)

Query is GAN: Scene Retrieval With Attentional Text-to-Image Generative Adversarial Network. - Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2019)

Text-to-Image GAN-Based Scene Retrieval and Re-Ranking Considering Word Importance. - Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2019)

Convolutional sparse coding-based deep random vector functional link network for distress classification of road structures. - Keisuke Maeda; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (Comput. Aided Civ. Infrastructure Eng., 2019)

Cardiac sarcoidosis classification with deep convolutional neural network-based features using polar maps. - Ren Togo; Kenji Hirata; Osamu Manabe; Hiroshi Ohira; Ichizo Tsujino; Keiichi Magota; Takahiro Ogawa 001; Miki Haseyama; Tohru Shiga (Comput. Biol. Medicine, 2019)

Young Professionals Activities at GCCE 2018 [Society News]. - Takahiro Ogawa 001; Shingo Yamaguchi 001 (IEEE Consumer Electron. Mag., 2019)

Novel Audio Feature Projection Using KDLPCCA-Based Correlation with EEG Features for Favorite Music Classification. - Ryosuke Sawata; Takahiro Ogawa 001; Miki Haseyama (IEEE Trans. Affect. Comput., 2019)

Estimation of Viewed Images Using Individual and Shared Brain Responses. - Takaaki Higashi; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2020)

Cross-domain Recommendation via Multi-layer Graph Analysis Using User-item Embedding. - Taisei Hirakawa; Keisuke Maeda; Takahiro Ogawa 001; Satoshi Asamizu; Miki Haseyama (GCCE, 2020)

Important Scene Prediction of Baseball Videos Using Twitter and Video Analysis Based on LSTM. - Kaito Hirasawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2020)

Interest Level Estimation Based on Feature Integration Considering Distribution of Partially Paired User's Behavior, Videos and Posters. - Kyohei Kamikawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2020)

Complexity Evaluation of Medical Image Data for Classification Problem Based on Spectral Clustering. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2020)

Estimation of Images Matched with Audio-Induced Brain Activity via Modified DGCCA. - Yun Liang 014; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2020)

Estimation of User-Specific Visual Attention Considering Individual Tendency toward Gazed Objects. - Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2020)

Face Synthesis via User Manipulation of Disentangled Latent Representation. - Nao Nakagawa; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2020)

Music Playlist Generation Based on Reinforcement Learning Using Acoustic Feature Map. - Keigo Sakurai; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2020)

Question Answering for Estimation of Seen Image Contents from Multi-subject fMRI Responses. - Saya Takada; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2020)

Multi-View Bayesian Generative Model for Multi-Subject FMRI Data on Brain Decoding of Viewed Image Categories. - Yusuke Akamatsu; Ryosuke Harakawa; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2020)

Unsupervised Domain Adaptation for Semantic Segmentation with Symmetric Adaptation Consistency. - Zongyao Li; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2020)

Important Scene Detection Based on Anomaly Detection using Long Short-Term Memory for Baseball Highlight Generation. - Kaito Hirasawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICCE-TW, 2020)

Estimation of Person-Specific Visual Attention via Selection of Similar Persons. - Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICCE-TW, 2020)

An Estimation Method of Candidate Region for Superimposing Information Based on Gaze Tracking Data in Soccer Videos. - Genki Suzuki; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (ICCE-TW, 2020)

Image Retrieval with Data Augmentation of Sentence Labels Based on Paraphrasing. - Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICCE-TW, 2020)

Important Scene Detection Of Baseball Videos Via Time-Lag Aware Deep Multiset Canonical Correlation Maximization. - Kaito Hirasawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2020)

Soft-Label Anonymous Gastric X-Ray Image Distillation. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2020)

Variational Autoencoder Based Unsupervised Domain Adaptation For Semantic Segmentation. - Zongyao Li; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2020)

Feature Integration Via Geometrical Supervised Multi-View Multi-Label Canonical Correlation For Incomplete Label Assignment. - Keisuke Maeda; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2020)

Estimation Of Visual Contents Based On Question Answering From Human Brain Activity. - Saya Takada; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2020)

Generation of Viewed Image Captions From Human Brain Activity Via Unsupervised Text Latent Space. - Saya Takada; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2020)

Multimodal Image-to-Image Translation for Generation of Gastritis Images. - Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2020)

Image Retrieval With Lingual And Visual Paraphrasing Via Generative Models. - Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2020)

Mvgan Maximizing Time-Lag Aware Canonical Correlation for Baseball Highlight Generation. - Kaito Hirasawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICME Workshops, 2020)

Interest Estimation for Images Using Eye Gaze-based Visual and Text Features via DLPCCA. - Masanao Matsumoto; Naoki Saito 006; Takahiro Ogawa 001; Miki Haseyama (LifeTech, 2020)

Distress Level Classification of Road Infrastructures via CNN Generating Attention Map. - Naoki Ogawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (LifeTech, 2020)

Quantitative Analysis of Engineer's Skill Using Wearable Sensor Data while Inspecting Highway Bridge. - Genki Suzuki; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (LifeTech, 2020)

Estimating Viewed Images with Natural Language Question Answering from fMRI Data. - Saya Takada; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (LifeTech, 2020)

Similar scene retrieval in soccer videos with weak annotations by multimodal use of bidirectional LSTM. - Tomoki Haruyama; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (MMAsia, 2020)

Interactive re-ranking for cross-modal retrieval based on object-wise question answering. - Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (MMAsia, 2020)

Supervised Fractional-Order Embedding Geometrical Multi-View CCA (SFGMCCA) for Multiple Feature Integration. - Keisuke Maeda; Yoshiki Ito; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2020)

Estimation of Interest Levels From Behavior Features via Tensor Completion Including Adaptive Similar User Selection. - Keisuke Maeda; Tetsuya Kushima; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2020)

Context-Aware Network Analysis of Music Streaming Services for Popularity Estimation of Artists. - Yui Matsumoto; Ryosuke Harakawa; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2020)

Human-Centric Emotion Estimation Based on Correlation Maximization Considering Changes With Time in Visual Attention and Brain Activity. - Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2020)

Enhancing Cross-Modal Retrieval Based on Modality-Specific and Embedding Spaces. - Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2020)

Deep convolutional neural network-based anomaly detection for organ classification in gastric X-ray examination. - Ren Togo; Haruna Watanabe; Takahiro Ogawa 001; Miki Haseyama (Comput. Biol. Medicine, 2020)

Multi-Task Convolutional Neural Network Leading to High Performance and Interpretability via Attribute Estimation. - Keisuke Maeda; Kazaha Horii; Takahiro Ogawa 001; Miki Haseyama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2020)

Inpainting via Sparse Representation Based on a Phaseless Quality Metric. - Takahiro Ogawa 001; Keisuke Maeda; Miki Haseyama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2020)

Heterogeneous-Graph-Based Video Search Reranking Using Topic Relevance. - Soh Yoshida; Mitsuji Muneyasu; Takahiro Ogawa 001; Miki Haseyama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2020)

Chronic gastritis classification using gastric X-ray images with a semi-supervised learning method based on tri-training. - Zongyao Li; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Medical Biol. Eng. Comput., 2020)

Human-centered image classification via a neural network considering visual and biological features. - Kazaha Horii; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Multim. Tools Appl., 2020)

Tensor-Based Emotional Category Classification via Visual Attention-Based Heterogeneous CNN Feature Fusion. - Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2020)

Few-Shot Personalized Saliency Prediction Based on Adaptive Image Selection Considering Object and Visual Attention. - Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2020)

Brain Decoding of Viewed Image Categories via Semi-Supervised Multi-View Bayesian Generative Model. - Yusuke Akamatsu; Ryosuke Harakawa; Takahiro Ogawa 001; Miki Haseyama (IEEE Trans. Signal Process., 2020)

Multi-class Similar Scene Retrieval in Soccer Videos: A Scene Confusion Reduction Method Based on Combination of Long and Short Frame Sequences. - Yaozong Gan; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2021)

Analysis of Social Trends Related to COVID-19 Pandemic Utilizing Social Media Data. - Taisei Hirakawa; Keisuke Maeda; Takahiro Ogawa 001; Satoshi Asamizu; Miki Haseyama (GCCE, 2021)

A Trial of Fine-grained Classification of Expert-novice Level Using Bio-signals While Inspecting Subway Tunnels. - Kaito Hirasawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2021)

Multi-label Image Recognition Based on Multi-modal Graph Convolutional Networks Using Captioning Features. - Ziwen Lan; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2021)

Triplet Self-Supervised Learning for Gastritis Detection with Scarce Annotations. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2021)

Sports Action Detection Based on Self-Supervised Feature Learning and Object Detection. - Tsuyoshi Masuda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2021)

Action Classification from Egocentric Videos Using Reinforcement Learning-based Pose Estimation. - Shunya Ohaga; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2021)

Graph Analysis-based Recommendation via Entity Embeddings Using Wikipedia. - Nozomu Onodera; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2021)

Listener Recommendation for Artist Based on Knowledge Graph and Reinforcement Learning. - Keigo Sakurai; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2021)

Estimating Imagined Images from Brain Activities via Visual Question Answering. - Saya Takada; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2021)

Movie Rating Estimation Based on Weakly Supervised Multi-modal Latent Variable Model. - Koshi Watanabe; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2021)

Text-Guided Image Manipulation for Desired Region Using Referring Image Segmentation. - Yuto Watanabe; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2021)

Visual Sentiment Prediction Using Few-shot Learning via Distribution Relations of Visual Features. - Yingrui Ye; Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2021)

Detection of Off-screen Sound Based on Loss Function of Self-supervised Audio-visual Spatialization. - Masaki Yoshida; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2021)

Defense Against Image Captioning Attacks via A Robust and Stable Recurrent Neural Network. - Jiahuan Zhang; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2021)

Cross-Domain Semi-Supervised Deep Metric Learning for Image Sentiment Analysis. - Yun Liang 014; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2021)

Classification of Expert-Novice Level Using Eye Tracking And Motion Data via Conditional Multimodal Variational Autoencoder. - Yusuke Akamatsu; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2021)

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 001; Miki Haseyama (ICASSP, 2021)

Feature Integration via Semi-Supervised Ordinally Multi-Modal Gaussian Process Latent Variable Model. - Kyohei Kamikawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2021)

Semantic-Aware Unpaired Image-to-Image Translation for Urban Scene Images. - Zongyao Li; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2021)

Multi-Modal Label Dequantized Gaussian Process Latent Variable Model for Ordinal Label Estimation. - Masanao Matsumoto; Keisuke Maeda; Naoki Saito 006; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2021)

Human-Centered Favorite Music Classification Using EEG-Based Individual Music Preference Via Deep Time-Series CCA. - Ryosuke Sawata; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2021)

Cross-view Self-supervised Learning via Momentum Statistics in Batch Normalization. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICCE-TW, 2021)

Degradation Level Estimation of Road Structures via Attention Branch Network with Text Data. - Naoki Ogawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICCE-TW, 2021)

User Background Information-Aware Music Recommendation with Reinforcement Learning-Based Knowledge Graph Exploration. - Keigo Sakurai; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICCE-TW, 2021)

Deep Metric Network Via Heterogeneous Semantics for Image Sentiment Analysis. - Yun Liang 014; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2021)

Segmentation-Aware Text-Guided Image Manipulation. - Tomoki Haruyama; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2021)

Cross-Domain Recommendation Method Based On Multi-Layer Graph Analysis With Visual Information. - Taisei Hirakawa; Keisuke Maeda; Takahiro Ogawa 001; Satoshi Asamizu; Miki Haseyama (ICIP, 2021)

Time-Lag Aware Multi-Modal Variational Autoencoder Using Baseball Videos And Tweets For Prediction Of Important Scenes. - Kaito Hirasawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2021)

Interest Level Estimation via Multi-Modal Gaussian Process Latent Variable Factorization. - Kyohei Kamikawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2021)

Few-Shot Personalized Saliency Prediction using Person Similarity based on Collaborative Multi-Output Gaussian Process Regression. - Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2021)

Interpretable Representation Learning on Natural Image Datasets via Reconstruction in Visual-Semantic Embedding Space. - Nao Nakagawa; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2021)

Correlation-Aware Attention Branch Network Using Multi-Modal Data For Deterioration Level Estimation Of Infrastructures. - Naoki Ogawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2021)

Human Emotion Estimation Using Multi-Modal Variational AutoEncoder with Time Changes. - Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (LifeTech, 2021)

Music Playlist Generation Based on Graph Exploration Using Reinforcement Learning. - Keigo Sakurai; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (LifeTech, 2021)

Question Answering from Brain Activity Data via Decoder Based on Neural Networks. - Saya Takada; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (LifeTech, 2021)

IR Questioner: QA-based Interactive Retrieval System. - Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICMR, 2021)

Database-adaptive Re-ranking for Enhancing Cross-modal Image Retrieval. - Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ACM Multimedia, 2021)

Perceived Image Decoding From Brain Activity Using Shared Information of Multi-Subject fMRI Data. - Yusuke Akamatsu; Ryosuke Harakawa; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2021)

Detection of Important Scenes in Baseball Videos via Bidirectional Time Lag Aware Deep Multiset Canonical Correlation Analysis. - Kaito Hirasawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2021)

Feature Integration Through Semi-Supervised Multimodal Gaussian Process Latent Variable Model With Pseudo-Labels for Interest Level Estimation. - Kyohei Kamikawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2021)

Supervised Fractional-Order Embedding Multiview Canonical Correlation Analysis via Ordinal Label Dequantization for Image Interest Estimation. - Masanao Matsumoto; Naoki Saito 006; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2021)

Disentangled Representation Learning in Real-World Image Datasets via Image Segmentation Prior. - Nao Nakagawa; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2021)

Distress Image Retrieval for Infrastructure Maintenance via Self-Trained Deep Metric Learning Using Experts' Knowledge. - Naoki Ogawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2021)

Text-Guided Style Transfer-Based Image Manipulation Using Multimodal Generative Models. - Ren Togo; Megumi Kotera; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2021)

Domain Adaptive Cross-Modal Image Retrieval via Modality and Domain Translations. - Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2021)

Reliable Estimation of Deterioration Levels via Late Fusion Using Multi-View Distress Images for Practical Inspection. - Keisuke Maeda; Naoki Ogawa; Takahiro Ogawa 001; Miki Haseyama (J. Imaging, 2021)

Deterioration level estimation via neural network maximizing category-based ordinally supervised multi-view canonical correlation. - Keisuke Maeda; Sho Takahashi; Takahiro Ogawa 001; Miki Haseyama (Multim. Tools Appl., 2021)

Detection of Important Scenes in Baseball Videos via a Time-Lag-Aware Multimodal Variational Autoencoder. - Kaito Hirasawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2021)

Rubber Material Property Prediction Using Electron Microscope Images of Internal Structures Taken under Multiple Conditions. - Ren Togo; Naoki Saito 006; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2021)

Union-Set Multi-source Model Adaptation for Semantic Segmentation. - Zongyao Li; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ECCV (29), 2022)

Content-based Image Retrieval Using Effective Synthesized Images from Different Camera Views via pixelNeRF. - Yuki Era; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2022)

Refinement of Gaze-based Image Caption for Image Retrieval. - Yuhu Feng; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2022)

Shoot Event Prediction from Soccer Videos by Considering Players' Spatio-Temporal Relations. - Ryota Goka; Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2022)

Free-viewpoint Sports Video Generation Based on Dynamic NeRF Considering Time Series. - Masato Kawai; Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2022)

Prediction of Amyloid-β Positivity Using QSM Images Based on Bootstrap Your Own Latent. - Tsubasa Kunieda; Ren Togo; Noriko Nishioka; Yukie Shimizu; Shiro Watanabe; Kenji Hirata; Keisuke Maeda; Takahiro Ogawa 001; Kohsuke Kudo; Miki Haseyama (GCCE, 2022)

GCN-based Collaborative Filtering Considering Personality Bias. - Hiroki Okamura; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2022)

Analysis of Relationships between Visual Cognitive Contents and Response of Each Brain Region via Visual Question Answering. - Ryo Shichida; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2022)

Trend Prediction of Students' Mock Examination Results Using Matrix Completion. - Yutaka Yamada; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2022)

Cross-platform Recommendation Considering Common Users' Preferences Based on Preference Propagation GraphNet. - Kazuki Yamamoto; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2022)

Cross-modal Image Retrieval Considering Semantic Relationships with Object Information. - Huaying Zhang; Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2022)

A Multimodal Interpretable Visual Question Answering Model Introducing Image Caption Processor. - He Zhu; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2022)

Self-Knowledge Distillation based Self-Supervised Learning for Covid-19 Detection from Chest X-Ray Images. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2022)

Divergence-Guided Feature Alignment for Cross-Domain Object Detection. - Zongyao Li; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2022)

TriBYOL: Triplet BYOL for Self-Supervised Representation Learning. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2022)

Human Emotion Recognition Using Multi-Modal Biological Signals Based On Time Lag-Considered Correlation Maximization. - Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2022)

Variational Bayesian Graph Convolutional Network for Robust Collaborative Filtering. - Nozomu Onodera; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2022)

Distributed Label Dequantized Gaussian Process Latent Variable Model for Multi-View Data Integration. - Koshi Watanabe; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2022)

Generative Adversarial Network Including Referring Image Segmentation For Text-Guided Image Manipulation. - Yuto Watanabe; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2022)

Scene Retrieval in Soccer Videos by Spatial-temporal Attention with Video Vision Transformer. - Yaozong Gan; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICCE-TW, 2022)

Action Classification Based on LSTM Using First and Third Person Videos of Engineers Inspecting Bridges. - Tsuyoshi Masuda; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICCE-TW, 2022)

Multi-scale Defect Detection from Subway Tunnel Images with Spatial Attention Mechanism. - An Wang; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICCE-TW, 2022)

Human-Centric Image Retrieval with Gaze-Based Image Captioning. - Yuhu Feng; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2022)

GCN-Based Multi-Modal Multi-Label Attribute Classification in Anime Illustration Using Domain-Specific Semantic Features. - Ziwen Lan; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2022)

Improving Model Adaptation for Semantic Segmentation by Learning Model-Invariant Features with Multiple Source-Domain Models. - Zongyao Li; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2022)

Gaussian Distributed Graph Constrained Multi-Modal Gaussian Process Latent Variable Model for Ordinal Labeled Data. - Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2022)

Few-Shot Personalized Saliency Prediction with Similarity of Gaze Tendency Using Object-Based Structural Information. - Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2022)

Assessment of Image Manipulation Using Natural Language Description: Quantification of Manipulation Direction. - Yuto Watanabe; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2022)

Visual Sentiment Prediction Using Cross-Way Few-Shot Learning Based on Knowledge Distillation. - Yingrui Ye; Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2022)

Transformer Based Multimodal Scene Recognition in Soccer Videos. - Yaozong Gan; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICME Workshops, 2022)

Knowledge-Guided Sequential Recommendation with Reinforcement Learning Using Empirical Distribution Function. - Keigo Sakurai; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (LifeTech, 2022)

Generating Captions of Imagined content from Human Brain Activities Applying An Image Captioning Model. - Saya Takada; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (LifeTech, 2022)

Disentangled Image Attribute Editing in Latent Space via Mask-Based Retention Loss. - Shunya Ohaga; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (MMAsia, 2022)

Popularity-Aware Graph Social Recommendation for Fully Non-Interaction Users. - Nozomu Onodera; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (MMAsia, 2022)

Rubber Material Retrieval System using Electron Microscope Images for Rubber Material Development. - Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (MMAsia, 2022)

Affective Embedding Framework with Semantic Representations from Tweets for Zero-Shot Visual Sentiment Prediction. - Yingrui Ye; Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (MMAsia, 2022)

Summarizing Data Structures with Gaussian Process and Robust Neighborhood Preservation. - Koshi Watanabe; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ECML/PKDD (5), 2022)

Refining Graph Representation for Cross-Domain Recommendation Based on Edge Pruning in Latent Space. - Taisei Hirakawa; Keisuke Maeda; Takahiro Ogawa 001; Satoshi Asamizu; Miki Haseyama (IEEE Access, 2022)

Compressed gastric image generation based on soft-label dataset distillation for medical data sharing. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Comput. Methods Programs Biomed., 2022)

Dataset Distillation for Medical Dataset Sharing. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (CoRR, 2022)

RGMIM: Region-Guided Masked Image Modeling for COVID-19 Detection. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (CoRR, 2022)

Similar interior coordination image retrieval with multi-view features. - Ren Togo; Yuki Honma; Maiku Abe; Takahiro Ogawa 001; Miki Haseyama (Int. J. Multim. Inf. Retr., 2022)

Chain centre loss: A psychology inspired loss function for image sentiment analysis. - Yun Liang 014; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Neurocomputing, 2022)

Dataset complexity assessment based on cumulative maximum scaled area under Laplacian spectrum. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Multim. Tools Appl., 2022)

User-centric multimodal feature extraction for personalized retrieval of tumblr posts. - Kazuma Ohtomo; Ryosuke Harakawa; Takahiro Ogawa 001; Miki Haseyama; Masahiro Iwahashi (Multim. Tools Appl., 2022)

Learning intra-domain style-invariant representation for unsupervised domain adaptation of semantic segmentation. - Zongyao Li; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Pattern Recognit., 2022)

Brain Decoding of Multiple Subjects for Estimating Visual Information Based on a Probabilistic Generative Model. - Takaaki Higashi; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2022)

Time-Lag Aware Latent Variable Model for Prediction of Important Scenes Using Baseball Videos and Tweets. - Kaito Hirasawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2022)

Distress Detection in Subway Tunnel Images via Data Augmentation Based on Selective Image Cropping and Patching. - Keisuke Maeda; Saya Takada; Tomoki Haruyama; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2022)

Trial Analysis of the Relationship between Taste and Biological Information Obtained While Eating Strawberries for Sensory Evaluation. - Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Shin-ichi Adachi; Fumiaki Yoshizawa; Miki Haseyama (Sensors, 2022)

Deterioration Level Estimation Based on Convolutional Neural Network Using Confidence-Aware Attention Mechanism for Infrastructure Inspection. - Naoki Ogawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2022)

Controllable Music Playlist Generation Based on Knowledge Graph and Reinforcement Learning. - Keigo Sakurai; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2022)

Defect Detection of Subway Tunnels Using Advanced U-Net Network. - An Wang; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2022)

Regularization Meets Enhanced Multi-Stage Fusion Features: Making CNN More Robust against White-Box Adversarial Attacks. - Jiahuan Zhang; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2022)

Interactive Re-ranking via Object Entropy-Guided Question Answering for Cross-Modal Image Retrieval. - Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Deterioration Level Estimation for Infrastructures Considering Noisy Labels via DivideMix. - Masaki Kashiwagi; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2023)

Improving Visual Counterfactual Explanation Models for Image Classification via CLIP. - Xiang Li; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2023)

Text-to-image Diffusion Model Suppressing Catastrophic Forgetting via Elastic Weight Consolidation. - Haruka Matsuda; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2023)

Bundle Detection based on Graph Convolutional Network Considering Categorical Hierarchical Relationship. - Keigo Sakurai; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2023)

Caption Unification for Multiple Viewpoint Lifelogging Images and Its Verification. - Masaya Sato; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2023)

Skill Level Classification Using Motion Data via Spatial Temporal Graph Convolutional Network. - Tatsuki Seino; Naoki Saito 006; Takahiro Ogawa 001; Satoshi Asamizu; Miki Haseyama (GCCE, 2023)

Novel Feature Extraction for Classification of Auditory-visual Stimuli from fNIRS Signals. - Taro Togo; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2023)

A Controllable Recoloring Method for Novel Views Using Segment Anything Model. - Haoyang Wang; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2023)

Improving Dropout in Graph Convolutional Networks for Recommendation via Contrastive Loss. - Hiroki Okamura; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2023)

Class-Aware Shared Gaussian Process Dynamic Model. - Ryosuke Sawata; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2023)

Estimation of Visual Contents from Human Brain Signals via VQA Based on Brain-Specific Attention. - Ryo Shichida; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2023)

Learning Graph Laplacian from Intrinsic Patterns via Gaussian Process. - Koshi Watanabe; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2023)

Binauralization Robust To Camera Rotation Using 360° Videos. - Masaki Yoshida; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2023)

Defense Against Black-Box Adversarial Attacks Via Heterogeneous Fusion Features. - Jiahuan Zhang; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2023)

Shoot Event Prediction in Soccer Considering Expected Goals Based on Players' Positions. - Ryota Goka; Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICCE-Taiwan, 2023)

Prediction of Shoot Events by Considering Spatio-temporal Relations of Multimodal Features. - Ryota Goka; Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICCE-Taiwan, 2023)

Estimation of Amyloid-β Positivity Using QSM Images Considering Age Information. - Tsubasa Kunieda; Ren Togo; Noriko Nishioka; Yukie Shimizu; Shiro Watanabe; Kenji Hirata; Keisuke Maeda; Takahiro Ogawa 001; Kohsuke Kudo; Miki Haseyama (ICCE-Taiwan, 2023)

Proficiency-level Estimation Using Heterogeneous Features via Label Dequantized CCA. - Tatsuki Seino; Naoki Saito 006; Takahiro Ogawa 001; Satoshi Asamizu; Miki Haseyama (ICCE-Taiwan, 2023)

Binaural Audio Generation with Data Augmentation from 360° Videos. - Masaki Yoshida; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICCE-Taiwan, 2023)

Parameter-efficient Tuning of a Pre-trained Model via Prompt Learning in Cross-modal Retrieval. - Huaying Zhang; Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICCE-Taiwan, 2023)

A Medical Domain Visual Question Generation Model via Large Language Model. - He Zhu; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICCE-Taiwan, 2023)

Video-Music Retrieval with Fine-Grained Cross-Modal Alignment. - Yuki Era; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2023)

Feature Integration via Back-Projection Ordering Multi-Modal Gaussian Process Latent Variable Model for Rating Prediction. - Kyohei Kamikawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2023)

Multi-View Variational Recurrent Neural Network for Human Emotion Recognition Using Multi-Modal Biological Signals. - Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2023)

Text-Guided Facial Image Manipulation for Wild Images via Manipulation Direction-Based Loss. - Yuto Watanabe; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2023)

Interpretable Visual Question Answering Referring to Outside Knowledge. - He Zhu; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2023)

Gromov-Wasserstein Autoencoders. - Nao Nakagawa; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICLR, 2023)

Personalized Content Recommender System via Non-verbal Interaction Using Face Mesh and Facial Expression. - Yuya Moroto; Rintaro Yanagi; Naoki Ogawa; Kyohei Kamikawa; Keigo Sakurai; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ACM Multimedia, 2023)

Hierarchical Multi-Label Attribute Classification With Graph Convolutional Networks on Anime Illustration. - Ziwen Lan; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2023)

SpectralMAP: Approximating Data Manifold With Spectral Decomposition. - Koshi Watanabe; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2023)

Text-Guided Image Manipulation via Generative Adversarial Network With Referring Image Segmentation-Based Guidance. - Yuto Watanabe; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2023)

Material Compound-Property Retrieval Using Electron Microscope Images for Rubber Material Development. - Rintaro Yanagi; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2023)

Cross-Modal Image Retrieval Considering Semantic Relationships With Many-to-Many Correspondence Loss. - Huaying Zhang; Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2023)

Few-Shot Personalized Saliency Prediction Using Tensor Regression for Preserving Structural Global Information. - Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (CoRR, 2023)

Prediction of Shooting Events in Soccer Videos Using Complete Bipartite Graphs and Players' Spatial-Temporal Relations. - Ryota Goka; Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2023)

Multi-Label Classification in Anime Illustrations Based on Hierarchical Attribute Relationships. - Ziwen Lan; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2023)

Off-Screen Sound Separation Based on Audio-visual Pre-training Using Binaural Audio. - Masaki Yoshida; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2023)

Estimation of Degradation Degree in Road Infrastructure Based on Multi-Modal ABN Using Contrastive Learning. - Takaaki Higashi; Naoki Ogawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2023)

Diversity Learning Based on Multi-Latent Space for Medical Image Visual Question Generation. - He Zhu; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2023)

COVID-19 detection based on self-supervised transfer learning using chest X-ray images. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Int. J. Comput. Assist. Radiol. Surg., 2023)

Boosting automatic COVID-19 detection performance with self-supervised learning and batch knowledge ensembling. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Comput. Biol. Medicine, 2023)

Zero-Shot Neural Decoding with Semi-Supervised Multi-View Embedding. - Yusuke Akamatsu; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2023)

Self-supervised learning for gastritis detection with gastric X-ray images. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Int. J. Comput. Assist. Radiol. Surg., 2023)

Visual Emotion Recognition Through Multimodal Cyclic-Label Dequantized Gaussian Process Latent Variable Model. - Naoki Saito 006; Keisuke Maeda; Takahiro Ogawa 001; Satoshi Asamizu; Miki Haseyama (J. Robotics Mechatronics, 2023)

Manipulation Direction: Evaluating Text-Guided Image Manipulation Based on Similarity between Changes in Image and Text Modalities. - Yuto Watanabe; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2023)

Zero-Shot Traffic Sign Recognition Based on Midlevel Feature Matching. - Yaozong Gan; Guang Li 008; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2023)

Generative Dataset Distillation: Balancing Global Structure and Local Details. - Longzhen Li; Guang Li 008; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (CVPR Workshops, 2024)

RGMIM: Region-Guided Masked Image Modeling for Learning Meaningful Representations from X-Ray Images. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ECCV Workshops (14), 2024)

Generative Dataset Distillation Based on Diffusion Model. - Duo Su; Junjie Hou; Guang Li 008; Ren Togo; Rui Song 007; Takahiro Ogawa 001; Miki Haseyama (ECCV Workshops (19), 2024)

Emotion-conditional Image Generation Reflecting Semantic Alignment with Text-to-Image Models. - Kaede Hayakawa; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2024)

MLLM-based Automatic Exploration of Editing Prompt for High Engagement Image Generation. - Kenta Kubota; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2024)

Generative Dataset Distillation Based on Large Model Pool. - Longzhen Li; Guang Li 008; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2024)

Zero-shot Controllable Music Generation from Videos Using Facial Expressions. - Shilin Liu; Kyohei Kamikawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2024)

Multimodal Adversarial Defense Trained on Features Extracted from Images and Brain Activity. - Tasuku Nakajima; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2024)

Personalized Visual Emotion Classification via In-context Learning in Multimodal LLM. - Ryo Takahashi; Naoki Saito 006; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2024)

Lung Cancer Classification Using Masked Autoencoder Pretrained on J-MID Database. - Ren Tasai; Guang Li 008; Ren Togo; Minghui Tang; Takaaki Yoshimura; Hiroyuki Sugimori; Kenji Hirata; Takahiro Ogawa 001; Kohsuke Kudo; Miki Haseyama (GCCE, 2024)

Improving Zero-shot Adversarial Robustness via Integrating Image Features of Foundation Models. - Koshiro Toishi; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2024)

Lung Disease Classification with Limited Training Data Based on Weight Selection Technique. - Ayaka Tsutsumi; Guang Li 008; Ren Togo; Takahiro Ogawa 001; Satoshi Kondo; Miki Haseyama (GCCE, 2024)

An Evaluation Metric for Single Image-to-3D Models Based on a Class Confidence Score of Object Detection Models. - Yuiko Uchida; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2024)

Zero-shot Composed Video Retrieval with Projection Module Bridging Modality Gap. - Kenta Uesugi; Naoki Saito 006; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2024)

Structured Polyphonic Music Generation with Diffusion Transformer. - Jinlong Zhu; Keigo Sakurai; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (GCCE, 2024)

Privacy Preserving Gaze Estimation Via Federated Learning Adapted To Egocentric Video. - Yuhu Feng; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2024)

Enhancing Noisy Label Learning Via Unsupervised Contrastive Loss with Label Correction Based on Prior Knowledge. - Masaki Kashiwagi; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2024)

Multi-Object Editing in Personalized Text-To-Image Diffusion Model Via Segmentation Guidance. - Haruka Matsuda; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2024)

Caption Unification for Multi-View Lifelogging Images Based on In-Context Learning with Heterogeneous Semantic Contents. - Masaya Sato; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2024)

Confidence-Aware Spatial-Temporal Attention Graph Convolutional Network for Skeleton-Based Expert-Novice Level Classification. - Tatsuki Seino; Naoki Saito 006; Takahiro Ogawa 001; Satoshi Asamizu; Miki Haseyama (ICASSP, 2024)

Prompt-Based Personalized Federated Learning for Medical Visual Question Answering. - He Zhu; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2024)

Motion-STUDiO : Motion Style Transfer Utilized for Dancing Operation by Considering Both Style and Dance Features. - Yuki Era; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICCE-Taiwan, 2024)

Introducing Class Replacement Technique in Class Incremental Learning in Generative Models. - Taro Togo; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICCE-Taiwan, 2024)

Discriminator-enhanced Music Generation Based on Multitrack Music Transformer. - Jinlong Zhu; Keigo Sakurai; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICCE-Taiwan, 2024)

Cross-Domain Few-Shot In-Context Learning For Enhancing Traffic Sign Recognition. - Yaozong Gan; Guang Li 008; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2024)

Reinforcing Pre-Trained Models Using Counterfactual Images. - Xiang Li; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2024)

Zero-Shot Composed Image Retrieval Considering Query-Target Relationship Leveraging Masked Image-Text Pairs. - Huaying Zhang; Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICIP, 2024)

MMT-BERT: Chord-Aware Symbolic Music Generation Based on Multitrack Music Transformer and MusicBERT. - Jinlong Zhu; Keigo Sakurai; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ISMIR, 2024)

DQG: Database Question Generation for Exact Text-based Image Retrieval. - Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ACM Multimedia, 2024)

What to Do and Where to Go Next? Action Prediction in Soccer Using Multimodal Co-Attention Transformer. - Ryota Goka; Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (MMSports@MM, 2024)

Generalizing Human Motion Style Transfer Method Based on Metadata-independent Learning. - Yuki Era; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (SIGGRAPH Asia Posters, 2024)

An Evaluation Metric for Single Image-to-3D Models Based on Object Detection Perspective. - Yuiko Uchida; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (SIGGRAPH Asia Technical Communications, 2024)

Multi-Modal Gaussian Process Latent Variable Model With Semi-Supervised Label Dequantization. - Keisuke Maeda; Masanao Matsumoto; Naoki Saito 006; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2024)

Individual Persistence Adaptation for User-Centric Evaluation of User Satisfaction in Recommender Systems. - Nozomu Onodera; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (IEEE Access, 2024)

Enhancing Generative Class Incremental Learning Performance with Model Forgetting Approach. - Taro Togo; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (CoRR, 2024)

Generalized Jersey Number Recognition Using Multi-task Learning With Orientation-guided Weight Refinement. - Yung-Hui Lin; Yu-Wen Chang; Huang-Chia Shih; Takahiro Ogawa 001 (CoRR, 2024)

Think Twice Before Recognizing: Large Multimodal Models for General Fine-grained Traffic Sign Recognition. - Yaozong Gan; Guang Li 008; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (CoRR, 2024)

Which Client is Reliable?: A Reliable and Personalized Prompt-based Federated Learning for Medical Image Question Answering. - He Zhu; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (CoRR, 2024)

Dataset Distillation Using Parameter Pruning. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2024)

Automatic Findings Generation for Distress Images Using In-Context Few-Shot Learning of Visual Language Model Based on Image Similarity and Text Diversity. - Yuto Watanabe; Naoki Ogawa; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (J. Robotics Mechatronics, 2024)

Importance-aware adaptive dataset distillation. - Guang Li 008; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Neural Networks, 2024)

Text-Guided Image Editing Based on Post Score for Gaining Attention on Social Media. - Yuto Watanabe; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2024)

Parameter-efficient tuning of cross-modal retrieval for a specific database via trainable textual and visual prompts. - Huaying Zhang; Rintaro Yanagi; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Int. J. Multim. Inf. Retr., 2024)

Flexibly manipulating popularity bias for tackling trade-offs in recommendation. - Hiroki Okamura; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Inf. Process. Manag., 2024)

Algal Bed Region Segmentation Based on a ViT Adapter Using Aerial Images for Estimating CO2 Absorption Capacity. - Guang Li 008; Ren Togo; Keisuke Maeda; Akinori Sako; Isao Yamauchi; Tetsuya Hayakawa; Shigeyuki Nakamae; Takahiro Ogawa 001; Miki Haseyama (Remote. Sens., 2024)

A Novel Frame-Selection Metric for Video Inpainting to Enhance Urban Feature Extraction. - Yuhu Feng; Jiahuan Zhang; Guang Li 008; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2024)

Expert-Novice Level Classification Using Graph Convolutional Network Introducing Confidence-Aware Node-Level Attention Mechanism. - Tatsuki Seino; Naoki Saito 006; Takahiro Ogawa 001; Satoshi Asamizu; Miki Haseyama (Sensors, 2024)

Analysis of Continual Learning Techniques for Image Generative Models with Learned Class Information Management. - Taro Togo; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2024)

Multimodal Transformer Model Using Time-Series Data to Classify Winter Road Surface Conditions. - Yuya Moroto; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (Sensors, 2024)

Snow- or ice-covered road detection in winter road surface conditions using deep neural networks. - Yuya Moroto; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Comput. Aided Civ. Infrastructure Eng., 2024)

Manta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence. - Wenbo Huang 001; Jinghui Zhang; Guang Li 008; Lei Zhang 130; Shuoyuan Wang; Fang Dong; Jiahui Jin; Takahiro Ogawa 001; Miki Haseyama (AAAI, 2025)

Hyperboloid GPLVM for Discovering Continuous Hierarchies via Nonparametric Estimation. - Koshi Watanabe; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (AISTATS, 2025)

LLM is Knowledge Graph Reasoner: LLM's Intuition-Aware Knowledge Graph Reasoning for Cold-Start Sequential Recommendation. - Keigo Sakurai; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ECIR (2), 2025)

Gradient-Oriented Clustered Federated Learning With Efficient Knowledge Sharing in Non-IID Settings. - Kenta Kubota; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2025)

Generative Dataset Distillation Based on Self-knowledge Distillation. - Longzhen Li; Guang Li 008; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2025)

Continual Self-supervised Learning Considering Medical Domain Knowledge in Chest CT Images. - Ren Tasai; Guang Li 008; Ren Togo; Minghui Tang; Takaaki Yoshimura; Hiroyuki Sugimori; Kenji Hirata; Takahiro Ogawa 001; Kohsuke Kudo; Miki Haseyama (ICASSP, 2025)

Robust Adversarial Defense Based on Non-Transferability of Attack Across Foundation Models. - Koshiro Toishi; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2025)

Triplet Synthesis for Enhancing Composed Image Retrieval via Counterfactual Image Generation. - Kenta Uesugi; Naoki Saito 006; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (ICASSP, 2025)

Extending Gaussian Splatting to Audio: Optimizing Audio Points for Novel-View Acoustic Synthesis. - Masaki Yoshida; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (VR Workshops, 2025)

AMDIS: Amplitude Dissimilarity Reduced Reference IQA Metric for Neural Radiance Field. - Ren Togo; Rintaro Yanagi; Masato Kawai; Takahiro Ogawa 001; Miki Haseyama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2025)

Cross-domain multi-step thinking: Zero-shot fine-grained traffic sign recognition in the wild. - Yaozong Gan; Guang Li 008; Ren Togo; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (Knowl. Based Syst., 2025)

Linear Structure Analysis of Embeddings for Bias Disparity Reduction in Collaborative Filtering. - Hiroki Okamura; Keisuke Maeda; Ren Togo; Takahiro Ogawa 001; Miki Haseyama (IEEE Trans. Serv. Comput., 2025)

Transfer Learning Strategies for Pathological Foundation Models: A Systematic Evaluation in Brain Tumor Classification. - Ken Enda; Yoshitaka Oda; Zen-ichi Tanei; Wang Lei; Masumi Tsuda; Takahiro Ogawa 001; Shinya Tanaka (CoRR, 2025)

Damage-level classification considering both correlation between image and text data and confidence of attention map. - Keisuke Maeda; Naoki Ogawa; Takahiro Ogawa 001; Miki Haseyama (Comput. Aided Civ. Infrastructure Eng., 2025)

StarMAP: Global Neighbor Embedding for Faithful Data Visualization. - Koshi Watanabe; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (CoRR, 2025)

Personalized Federated Learning for Egocentric Video Gaze Estimation with Comprehensive Parameter Frezzing. - Yuhu Feng; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (CoRR, 2025)

ConcVAE: Conceptual Representation Learning. - Ren Togo; Nao Nakagawa; Takahiro Ogawa 001; Miki Haseyama (IEEE Trans. Neural Networks Learn. Syst., 2025)

Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory. - Mingzhuo Li; Guang Li 008; Jiafeng Mao; Takahiro Ogawa 001; Miki Haseyama (CoRR, 2025)

Hyperbolic Dataset Distillation. - Wenyuan Li; Guang Li 008; Keisuke Maeda; Takahiro Ogawa 001; Miki Haseyama (CoRR, 2025)

Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling. - Mingzhuo Li; Guang Li 008; Jiafeng Mao; Linfeng Ye; Takahiro Ogawa 001; Miki Haseyama (CoRR, 2025)

Information-Guided Diffusion Sampling for Dataset Distillation. - Linfeng Ye; Shayan Mohajer Hamidi; Guang Li 008; Takahiro Ogawa 001; Miki Haseyama; Konstantinos N. Plataniotis (CoRR, 2025)