M. Haseyama

发表

Fast and Robust Ellipse Extraction from Complicated Images

Euijin Kim, M. Haseyama, H. Kitajima, 2002 .

Realization of Associative Image Search: Development of Image Retrieval Platform for Enhancing Serendipity

Miki Haseyama, M. Haseyama, 2016, 2016 IEEE 46th International Symposium on Multiple-Valued Logic (ISMVL).

Error resilient 3D DWT video transmission using invertible codes

Miki Haseyama, Hirokazu Tanaka, Tomoko K. Matsushima, 2013, 2013 International Symposium on Intelligent Signal Processing and Communication Systems.

Two-step error concealment method for wavelet video coding in wireless network

M. Haseyama, Hirokazu Tanaka, Sunmi Kim, 2010, 2010 International Conference on Intelligent and Advanced Systems.

Instructions for use Title Missing Texture Reconstruction Method Based on Error Reduction Algorithm Using Fourier

M. Haseyama, Takahiro Ogawa, 2017 .

Missing Texture Reconstruction

M. Haseyama, Takahiro Ogawa, 2015 .

Multimodal Important Scene Detection in Far-view Soccer Videos Based on Single Deep Neural Architecture

M. Haseyama, Sho Takahashi, Takahiro Ogawa, 2020 .

[Paper] Novel Evaluation Criterion for Visualization of Image Search Results Based on Feature Integration Theory

Miki Haseyama, Katsuki Kobayashi, Takahiro Ogawa, 2013 .

An Algorithm for Extracting Lines and Circles with High-Speed and Accuracy

M. Haseyama, H. Kitajima, J. Gates, 2003 .

A soccer field tracking method with wire frame model from TV images

Miki Haseyama, Hideo Kitajima, Tomoki Watanabe, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

A NewFast and Robust Cir cleExtraction Algorithm

Euijin Kim, M. Haseyama, andHideoKITAJIMA Schoolof EngineeringHokkaidoUniversity, 2002 .

Extraction of Circles from Arcs Segmented into Short Straight Lines

Euijin Kim, M. Haseyama, H. Kitajima, 2002 .

A fuzzy reasoning based approach for ARMA order selection

M. Haseyama, H. Kitajima, M. Emura, 1998, ISCAS '98. Proceedings of the 1998 IEEE International Symposium on Circuits and Systems (Cat. No.98CH36187).

A Method for Analyzing MFM Images as Stochastic Signals

M. Haseyama, K. Sueoka, K. Mukasa, 1998 .

Efficient contour shape description by using fractal interpolation functions

Miki Haseyama, Hideo Kitajima, Satoshi Uemura, 2002, Proceedings. International Conference on Image Processing.

Designing method for ARMA four‐line lattice filter with sliding rectangular window

M. Haseyama, N. Miki, N. Nagai, 1991 .

Error correction scheme for Multi-carrier CDMA with bi-orthogonal modulation

M. Haseyama, S. Yamasaki, H. Tanaka, 2008, 2008 International Symposium on Information Theory and Its Applications.

Image Retrieval Based on Supervised Local Regression and Global Alignment with Relevance Feedback for Insect Identiﬁcation

M. Haseyama, Takahiro Ogawa, K. Maeda, 2020 .

TriBYOL: Triplet BYOL for Self-Supervised Representation Learning

M. Haseyama, Takahiro Ogawa, Guang Li, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[Paper] Deep Reinforcement Learning-based Music Recommendation with Knowledge Graph Using Acoustic Features

M. Haseyama, Takahiro Ogawa, Ren Togo, 2022, ITE Transactions on Media Technology and Applications.

Two-dimensional Analysis of the Magnetic Microstructure of Media Using MFM Images.

M. Haseyama, K. Sueoka, K. Mukasa, 2001 .

Self-Knowledge Distillation based Self-Supervised Learning for Covid-19 Detection from Chest X-Ray Images

M. Haseyama, Takahiro Ogawa, Guang Li, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An Efficient Extraction Method of Hierarchical Struc- ture of Web Communities for Web Video Retrieval

M. Haseyama, Takahiro Ogawa, Ryosuke Harakawa, 2014 .

Dataset complexity assessment based on cumulative maximum scaled area under Laplacian spectrum

M. Haseyama, Takahiro Ogawa, Guang Li, 2022, Multimedia Tools and Applications.

Quality Estimation Method for Fractal Compressed Images

M. Haseyama, H. Sanada, M. Takezawa, 2013 .

Learning intra-domain style-invariant representation for unsupervised domain adaptation of semantic segmentation

M. Haseyama, Takahiro Ogawa, Ren Togo, 2022, Pattern Recognit..

The Friction Properties of Firebrat Scales

M. Haseyama, M. Shimomura, Takahiro Ogawa, 2018, Biomimetics.

Brain Decoding of Multiple Subjects for Estimating Visual Information Based on a Probabilistic Generative Model

M. Haseyama, Takahiro Ogawa, K. Maeda, 2022, Sensors.

Preliminary study of AI-assisted diagnosis using FDG-PET/CT for axillary lymph node metastasis in patients with breast cancer

M. Haseyama, K. Kitajima, Y. Miyoshi, 2020, EJNMMI Research.

Disentangled Representation Learning in Real-World Image Datasets via Image Segmentation Prior

M. Haseyama, Takahiro Ogawa, Ren Togo, 2021, IEEE Access.

Compressed Gastric Image Generation Based on Soft-Label Dataset Distillation for Medical Data Sharing

M. Haseyama, Takahiro Ogawa, Guang Li, 2022, 2209.14635.

Miki Haseyama, Hideo Kitajima, Hiroyuki Honda, 2000 .

M. Haseyama, Takahiro Ogawa, Maiku Abe, 2022, Int. J. Multim. Inf. Retr..

[Foreword] Welcome to the Transactions on Media Technology and Applications:The Institute of Image Information and Television Engineers (ITE) has decided to launch a new open access journal, titled "Media Technology and Applications" (MTA).

Miki Haseyama, M. Haseyama, 2013 .

RGMIM: Region-Guided Masked Image Modeling for COVID-19 Detection

M. Haseyama, Takahiro Ogawa, Guang Li, 2022, ArXiv.

Dataset Distillation for Medical Dataset Sharing

M. Haseyama, Takahiro Ogawa, Guang Li, 2022, ArXiv.

Transformer Based Multimodal Scene Recognition in Soccer Videos

M. Haseyama, Takahiro Ogawa, Ren Togo, 2022, 2022 IEEE International Conference on Multimedia and Expo Workshops (ICMEW).

Scene Retrieval in Soccer Videos by Spatial-temporal Attention with Video Vision Transformer

M. Haseyama, Takahiro Ogawa, Ren Togo, 2022, 2022 IEEE International Conference on Consumer Electronics - Taiwan.

Tracking topic evolution via salient keyword matching with consideration of semantic broadness for Web video discovery

M. Haseyama, Takahiro Ogawa, Ryosuke Harakawa, 2018, Multimedia Tools and Applications.

Compressed Gastric Image Generation Based on Soft-Label Dataset Distillation for Medical Data Sharing

M. Haseyama, Takahiro Ogawa, Guang Li, 2022, Comput. Methods Programs Biomed..

Disentangled Image Attribute Editing in Latent Space via Mask-Based Retention Loss

M. Haseyama, Takahiro Ogawa, Ren Togo, 2022, MMAsia.

Chronic gastritis classification using gastric X-ray images with a semi-supervised learning method based on tri-training

M. Haseyama, Takahiro Ogawa, Ren Togo, 2020, Medical & Biological Engineering & Computing.

Boosting Automatic COVID-19 Detection Performance with Self-Supervised Learning and Batch Knowledge Ensembling

M. Haseyama, Takahiro Ogawa, Guang Li, 2022, ArXiv.

Regularization Meets Enhanced Multi-Stage Fusion Features: Making CNN More Robust against White-Box Adversarial Attacks

M. Haseyama, Takahiro Ogawa, K. Maeda, 2022, Sensors.

Bregman pooling: feature-space local pooling for image classification

M. Haseyama, Alameen Najjar, Alameen Najjar, 2015, International Journal of Multimedia Information Retrieval.

Affective Embedding Framework with Semantic Representations from Tweets for Zero-Shot Visual Sentiment Prediction

M. Haseyama, Takahiro Ogawa, K. Maeda, 2022, MMAsia.

Estimating Regions of Deterioration in Electron Microscope Images of Rubber Materials via a Transfer Learning-Based Anomaly Detection Model

Miki Haseyama, Takahiro Ogawa, Ren Togo, 2019, IEEE Access.

Super-resolution for simultaneous realization of resolution enhancement and motion blur removal based on adaptive prior settings

Miki Haseyama, Takahiro Ogawa, Daisuke Izumi, 2013, EURASIP J. Adv. Signal Process..

Important Scene Detection Of Baseball Videos Via Time-Lag Aware Deep Multiset Canonical Correlation Maximization

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2020, 2020 IEEE International Conference on Image Processing (ICIP).

Important Scene Detection Based on Anomaly Detection using Long Short-Term Memory for Baseball Highlight Generation

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2020, 2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan).

Semantic Shot Classification in Baseball Videos Based on Similarities of Visual Features

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2019, 2019 IEEE 8th Global Conference on Consumer Electronics (GCCE).

Estimation of salient regions related to chronic gastritis using gastric X-ray images

Miki Haseyama, Ren Togo, Takahiro Ogawa, 2016, Comput. Biol. Medicine.

A new method for error degree estimation in numerical weather prediction via MKDA-based ordinal regression

Miki Haseyama, Takahiro Ogawa, Sho Takahashi, 2014, EURASIP J. Adv. Signal Process..

Improvement of Video Coding Performance Using Adaptive Interpolation Filter Without Filter Selection Information

Miki Haseyama, Satoshi Kondo, Takaya Matsuno, 2009 .

Wiener-Based Inpainting Quality Prediction

Miki Haseyama, Akira Tanaka, Takahiro Ogawa, 2017, IEICE Trans. Inf. Syst..

An extraction method of hierarchical Web communities for Web video retrieval

Miki Haseyama, Takahiro Ogawa, Ryosuke Harakawa, 2013, 2013 IEEE International Conference on Image Processing.

Context-Aware Network Analysis of Music Streaming Services for Popularity Estimation of Artists

Miki Haseyama, Takahiro Ogawa, Ryosuke Harakawa, 2020, IEEE Access.

An accurate mortality prediction method based on decision-level fusion of existing ICU scoring systems

Miki Haseyama, Takahiro Ogawa, Hirokazu Tanaka, 2016, 2016 International Symposium on Information Theory and Its Applications (ISITA).

Perceptually Optimized Missing Texture Reconstruction via Neighboring Embedding

Miki Haseyama, Takahiro Ogawa, M. Haseyama, 2015, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Adaptive KPCA-based missing texture reconstruction approach including classification scheme via difference subspaces

Miki Haseyama, Takahiro Ogawa, M. Haseyama, 2011, 2011 18th IEEE International Conference on Image Processing.

Missing Texture Reconstruction Method Based on Perceptually Optimized Algorithm

Miki Haseyama, Takahiro Ogawa, M. Haseyama, 2010, EURASIP J. Adv. Signal Process..

Adaptive reconstruction method of missing textures based on kernel canonical correlation analysis

Miki Haseyama, Takahiro Ogawa, M. Haseyama, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

POCS-Based Iterative Reconstruction Algorithm of Missing Textures

Miki Haseyama, Takahiro Ogawa, M. Haseyama, 2007, 2007 IEEE International Conference on Image Processing.

Reconstruction method of missing texture using error reduction algorithm

Miki Haseyama, Takahiro Ogawa, Hideo Kitajima, 2005, IEEE International Conference on Image Processing 2005.

Distress Image Retrieval for Infrastructure Maintenance via Self-Trained Deep Metric Learning Using Experts’ Knowledge

M. Haseyama, Takahiro Ogawa, Naoki Ogawa, 2021, IEEE Access.

Dataset Distillation for Medical Dataset Sharing

M. Haseyama, Takahiro Ogawa, Guang Li, 2022, ArXiv.

An extraction method for apoptotic cells from videomicroscopy images

Miki Haseyama, Hideo Kitajima, Yukari Sasamura, 2006, Systems and Computers in Japan.

An automatic extraction method for apoptotic cell from video microscopy images

M. Haseyama, Y. Sasamura, M. Barboric, 2003, IEEE EMBS Asian-Pacific Conference on Biomedical Engineering, 2003..

Text-Guided Style Transfer-Based Image Manipulation Using Multimodal Generative Models

Miki Haseyama, Ren Togo, Takahiro Ogawa, 2021, IEEE Access.

An ARMA order selection method with fuzzy reasoning

Miki Haseyama, Hideo Kitajima, M. Haseyama, 2001, Signal Process..

ARMA direct form filter designing method to reconstruct FIR digital filters based upon genetic algorithm and simulated annealing

Miki Haseyama, Hideo Kitajima, Masaichi Akiho, 1997 .

Dataset Distillation using Parameter Pruning

M. Haseyama, Takahiro Ogawa, Guang Li, 2022, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences.

Soft-Label Anonymous Gastric X-Ray Image Distillation

Miki Haseyama, Takahiro Ogawa, Ren Togo, 2020, 2020 IEEE International Conference on Image Processing (ICIP).

Super-Resolution Reconstruction for Spatio-Temporal Resolution Enhancement of Video Sequences

Miki Haseyama, Makoto Takizawa, Daisuke Izumi, 2012, IEICE Trans. Inf. Syst..

[Foreword] Welcome to the Special Section on ITE Awards Selection

Miki Haseyama, M. Haseyama, 2014 .

User-centric multimodal feature extraction for personalized retrieval of tumblr posts

M. Haseyama, Takahiro Ogawa, M. Iwahashi, 2021, Multimedia Tools and Applications.

Image inpainting based on sparse representations with a perceptual metric

Miki Haseyama, Takahiro Ogawa, M. Haseyama, 2013, EURASIP J. Adv. Signal Process..

Detection of gastritis by a deep convolutional neural network from double-contrast upper gastrointestinal barium X-ray radiography

Miki Haseyama, Ren Togo, Takahiro Ogawa, 2018, Journal of Gastroenterology.

Diversity Learning Based on Multi-Latent Space for Medical Image Visual Question Generation

M. Haseyama, Takahiro Ogawa, He Zhu, 2023, Sensors.

Database-adaptive Re-ranking for Enhancing Cross-modal Image Retrieval

Miki Haseyama, Ren Togo, Takahiro Ogawa, 2021, ACM Multimedia.

Estimation Of Visual Contents Based On Question Answering From Human Brain Activity

Miki Haseyama, Takahiro Ogawa, Ren Togo, 2020, 2020 IEEE International Conference on Image Processing (ICIP).

Cross-Modal Image Retrieval Considering Semantic Relationships With Many-to-Many Correspondence Loss

M. Haseyama, Takahiro Ogawa, Huaying Zhang, 2023, IEEE Access.

Favorite Video Classification Based on Multimodal Bidirectional LSTM

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2018, IEEE Access.

Image Restoration for Images Contaminated with Pulse Noise

Miki Haseyama, Hideo Kitajima, Hiroyuki Honda, 1997 .

Segmentation-Aware Text-Guided Image Manipulation

Miki Haseyama, Ren Togo, Takahiro Ogawa, 2021, 2021 IEEE International Conference on Image Processing (ICIP).

Chronic atrophic gastritis detection with a convolutional neural network considering stomach regions

M. Haseyama, Takahiro Ogawa, Ren Togo, 2020, World journal of gastroenterology.

Boosting automatic COVID-19 detection performance with self-supervised learning and batch knowledge ensembling

M. Haseyama, Takahiro Ogawa, Guang Li, 2022, Computers in Biology and Medicine.

Self-supervised learning for gastritis detection with gastric X-ray images

M. Haseyama, Takahiro Ogawa, Guang Li, 2021, International Journal of Computer Assisted Radiology and Surgery.

COVID-19 detection based on self-supervised transfer learning using chest X-ray images

M. Haseyama, Takahiro Ogawa, Guang Li, 2022, International Journal of Computer Assisted Radiology and Surgery.

RGMIM: Region-Guided Masked Image Modeling for COVID-19 Detection

M. Haseyama, Takahiro Ogawa, Guang Li, 2022, ArXiv.

A Note on High Accuracy Quantization of IFS Parameters Using Genetic Algorithm

Miki Haseyama, Hideo Kitajima, Megumi Takezawa, 1999 .

Virtual reference signals for active noise cancellation system

Miki Haseyama, Hideo Kitajima, Masaichi Akiho, 1998 .

POCS-Based Annotation Method Using Kernel PCA for Semantic Image Retrieval

Miki Haseyama, Takahiro Ogawa, M. Haseyama, 2008, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Ultra low bit-rate image coding algorithm based on fractal image coding

Miki Haseyama, Hideo Kitajima, Megumi Takezawa, 2003, 3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the.

Tag refinement based on multilingual tag hierarchies extracted from image folksonomy

Miki Haseyama, Takahiro Ogawa, Shota Hamano, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Human-Centric Emotion Estimation Based on Correlation Maximization Considering Changes With Time in Visual Attention and Brain Activity

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2020, IEEE Access.

Tensor-Based Emotional Category Classification via Visual Attention-Based Heterogeneous CNN Feature Fusion

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2020, Sensors.

[Paper] A Method for Player Importance Prediction from Player Network Using Gaze Position Estimated by LSTM

Miki Haseyama, Takahiro Ogawa, Sho Takahashi, 2020, ITE Transactions on Media Technology and Applications.

Trend Prediction of Students’ Mock Examination Results Using Matrix Completion

M. Haseyama, Takahiro Ogawa, Keisuke Maeda, 2022, 2022 IEEE 11th Global Conference on Consumer Electronics (GCCE).

RGMIM: Region-Guided Masked Image Modeling for Learning Meaningful Representation from X-Ray Images

M. Haseyama, Takahiro Ogawa, Guang Li, 2022, 2211.00313.

Dataset Distillation using Parameter Pruning

M. Haseyama, Takahiro Ogawa, Guang Li, 2022, arXiv.org.

Team Tactics Estimation in Soccer Videos Based on a Deep Extreme Learning Machine and Characteristics of the Tactics

Miki Haseyama, Takahiro Ogawa, Sho Takahashi, 2019, IEEE Access.

Brain Decoding of Viewed Image Categories via Semi-Supervised Multi-View Bayesian Generative Model

Miki Haseyama, Takahiro Ogawa, Ryosuke Harakawa, 2020, IEEE Transactions on Signal Processing.

Refining Graph Representation for Cross-domain Recommendation Based on Edge Pruning in Latent Space

M. Haseyama, Takahiro Ogawa, Satoshi Asamizu, 2022, IEEE Access.

[Papers] Interpretable Convolutional Neural Network Including Attribute Estimation for Image Classification

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2020, ITE Transactions on Media Technology and Applications.

Human-centered image classification via a neural network considering visual and biological features

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2019, Multimedia Tools and Applications.

Multi-Task Convolutional Neural Network Leading to High Performance and Interpretability via Attribute Estimation

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2020, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

A GA-based Multi-Objective Optimization for Service Restoration in Power Distribution Systems

Miki Haseyama, Hideo Kitajima, Jun Nakajima, 2004 .

Multi-Label Classification in Anime Illustrations Based on Hierarchical Attribute Relationships

M. Haseyama, Takahiro Ogawa, Keisuke Maeda, 2023, Sensors.

Hierarchical Multi-Label Attribute Classification With Graph Convolutional Networks on Anime Illustration

M. Haseyama, Takahiro Ogawa, Keisuke Maeda, 2023, IEEE Access.

GCN-Based Multi-Modal Multi-Label Attribute Classification in Anime Illustration Using Domain-Specific Semantic Features

M. Haseyama, Takahiro Ogawa, Keisuke Maeda, 2022, 2022 IEEE International Conference on Image Processing (ICIP).

Recallable Question Answering-Based Re-Ranking Considering Semantic Region for Cross-Modal Retrieval

M. Haseyama, Takahiro Ogawa, Ren Togo, 2023, IEEE Open Journal of Signal Processing.

An efficient phase retrieval method using snakes for image reconstruction

Miki Haseyama, Hideo Kitajima, Keiko Kondo, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

Deterioration level estimation via neural network maximizing category-based ordinally supervised multi-view canonical correlation

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2020, Multimedia Tools and Applications.

Defense Against Black-Box Adversarial Attacks Via Heterogeneous Fusion Features

M. Haseyama, Takahiro Ogawa, Keisuke Maeda, 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Automatic detection of fish sounds based on multi-stage classification including logistic regression via adaptive feature weighting.

Miki Haseyama, Takahiro Ogawa, Ryosuke Harakawa, 2018, The Journal of the Acoustical Society of America.

[Papers] Multi-classifier Decision: Integration of Multiple Brain Activity-based Classifications

Miki Haseyama, Ren Togo, Takahiro Ogawa, 2019, ITE Transactions on Media Technology and Applications.

Selection of Significant Brain Regions Based on MvGTDA and TS-DLF for Emotion Estimation

Miki Haseyama, Takahiro Ogawa, Kento Sugata, 2018, IEEE Access.

A Novel Framework for Estimating Viewer Interest by Unsupervised Multimodal Anomaly Detection

Miki Haseyama, Takahiro Ogawa, Yuma Sasaka, 2018, IEEE Access.

Accurate Estimation of Personalized Video Preference Using Multiple Users' Viewing Behavior

Miki Haseyama, Takahiro Ogawa, Yoshiki Ito, 2018, IEICE Trans. Inf. Syst..

Multimodal Interest Level Estimation via Variational Bayesian Mixture of Robust CCA

Miki Haseyama, Takahiro Ogawa, Yuma Sasaka, 2016, ACM Multimedia.

Video genre estimation from relationship between motion and facial features using SLPCCA

Miki Haseyama, Takahiro Ogawa, Yuma Sasaka, 2015, 2015 IEEE 4th Global Conference on Consumer Electronics (GCCE).

User-centric multimodal feature extraction for personalized retrieval of tumblr posts

M. Haseyama, Takahiro Ogawa, M. Iwahashi, 2021, Multimedia Tools and Applications.

Deep convolutional neural network-based anomaly detection for organ classification in gastric X-ray examination

Miki Haseyama, Takahiro Ogawa, Ren Togo, 2020, Comput. Biol. Medicine.

Interpretable Visual Question Answering Referring to Outside Knowledge

M. Haseyama, Takahiro Ogawa, He Zhu, 2023, 2023 IEEE International Conference on Image Processing (ICIP).

Semi-Supervised Multiple Feature Fusion for Video Preference Estimation

Miki Haseyama, Takahiro Ogawa, Akira Toyoda, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Multimodal Interpretable Visual Question Answering Model Introducing Image Caption Processor

M. Haseyama, Takahiro Ogawa, He Zhu, 2022, 2022 IEEE 11th Global Conference on Consumer Electronics (GCCE).

[Paper] Active Grid-based Pass Region Estimation from Multiple Frames of Broadcast Soccer Videos

Miki Haseyama, Sho Takahashi, M. Haseyama, 2013 .

[Paper] A Method of Important Player Extraction Based on Link Analysis in Soccer Videos

Miki Haseyama, Sho Takahashi, M. Haseyama, 2017 .

MCMC-based scene segmentation method using structure of video

Miki Haseyama, Yan Song, Takahiro Ogawa, 2010, 2010 10th International Symposium on Communications and Information Technologies.

Audio signal segmentation and classification for scene-cut detection

Miki Haseyama, Hideo Kitajima, Naoki Nitanda, 2005, 2005 IEEE International Symposium on Circuits and Systems.

Novel Audio Feature Projection Using KDLPCCA-Based Correlation with EEG Features for Favorite Music Classification

Miki Haseyama, Takahiro Ogawa, Ryosuke Sawata, 2019, IEEE Transactions on Affective Computing.

Human-centered favorite music estimation: EEG-based extraction of audio features reflecting individual preference

Miki Haseyama, Takahiro Ogawa, Ryosuke Sawata, 2015, 2015 IEEE International Conference on Digital Signal Processing (DSP).

Fast line extraction from digital images using line segments

Miki Haseyama, Hideo Kitajima, Euijin Kim, 2003, Systems and Computers in Japan.

Cardiac sarcoidosis classification with deep convolutional neural network-based features using polar maps

Miki Haseyama, Kenji Hirata, Ren Togo, 2019, Comput. Biol. Medicine.

Defect Detection of Subway Tunnels Using Advanced U-Net Network

M. Haseyama, Takahiro Ogawa, Ren Togo, 2022, Sensors.

Extraction of Regions Related to Cardiac Sarcoidosis in Polar Map Images

Miki Haseyama, Takahiro Ogawa, Kenji Hirata, 2019, 2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech).

Binauralization Robust To Camera Rotation Using 360° Videos

M. Haseyama, Takahiro Ogawa, Ren Togo, 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A genetic algorithm for determining multiple routes and its applications

Miki Haseyama, Hideo Kitajima, Jun Inagaki, 1999, ISCAS'99. Proceedings of the 1999 IEEE International Symposium on Circuits and Systems VLSI (Cat. No.99CH36349).

Sample size dependence of estimation error of information carried by neuronal spike train

Miki Haseyama, Jun Murakami, Tateo Shimozawa, 2005, Systems and Computers in Japan.

Distress Level Classification of Road Infrastructures via CNN Generating Attention Map

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2020, 2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech).

Improvement of video coding efficiency based on sparse contractive mapping approach

Miki Haseyama, Takahiro Ogawa, Xinyue Zhao, 2016, Neurocomputing.

Missing intensity restoration via adaptive selection of perceptually optimized subspaces

Miki Haseyama, Takahiro Ogawa, M. Haseyama, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Missing intensity restoration via perceptually optimized subspace projection based on entropy component analysis

Miki Haseyama, Takahiro Ogawa, M. Haseyama, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Missing Image Data Reconstruction Based on Adaptive Inverse Projection via Sparse Representation

Miki Haseyama, Takahiro Ogawa, M. Haseyama, 2011, IEEE Transactions on Multimedia.

Missing Intensity Interpolation Using a Kernel PCA-Based POCS Algorithm and its Applications

Miki Haseyama, Takahiro Ogawa, M. Haseyama, 2011, IEEE Transactions on Image Processing.

Adaptive reconstruction method of missing textures based on inverse projection via sparse representation

Miki Haseyama, Takahiro Ogawa, M. Haseyama, 2010, 2010 IEEE International Conference on Multimedia and Expo.

Adaptive Missing Texture Reconstruction Method Based on Kernel Canonical Correlation Analysis with a New Clustering Scheme

Miki Haseyama, Takahiro Ogawa, M. Haseyama, 2009, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

POCS-Based Texture Reconstruction Method Using Clustering Scheme by Kernel PCA

Miki Haseyama, Takahiro Ogawa, M. Haseyama, 2007, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Adaptive Reconstruction Method of Missing Texture Based on Projection Onto Convex Sets

Miki Haseyama, Takahiro Ogawa, M. Haseyama, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Controllable Music Playlist Generation Based on Knowledge Graph and Reinforcement Learning

M. Haseyama, Takahiro Ogawa, Ren Togo, 2022, Sensors.

AN ACCURATE NOISE DETECTOR FOR THE REMOVAL OF IMPULSIVE NOISE

M. Haseyama, H. Kitajima, K. Kondo, 2003 .

Audio signal segmentation and classification using fuzzy c-means clustering

Miki Haseyama, Hideo Kitajima, Naoki Nitanda, 2006, Systems and Computers in Japan.

A genetic algorithm based image segmentation for image analysis

Miki Haseyama, Hideo Kitajima, Masateru Kumagai, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Estimation of Deterioration Levels of Transmission Towers via Deep Learning Maximizing Canonical Correlation Between Heterogeneous Features

Miki Haseyama, Takahiro Ogawa, Sho Takahashi, 2018, IEEE Journal of Selected Topics in Signal Processing.

Automatic estimation of deterioration level on transmission towers via deep extreme learning machine based on local receptive field

Miki Haseyama, Takahiro Ogawa, Sho Takahashi, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Preliminary study of automatic gastric cancer risk classification from photofluorography

M. Haseyama, Takahiro Ogawa, M. Asaka, 2018, World Journal of Gastrointestinal Oncology.

Classifying Insects from SEM Images Based on Optimal Classifier Selection and D-S Evidence Theory

Miki Haseyama, Takahiro Ogawa, Akihiro Takahashi, 2016, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

[Paper] A Method for Improving SVM-based Image Classification Performance Based on a Target Object Detection Scheme

Miki Haseyama, Hiroshi Okada, Takahiro Ogawa, 2013 .

[Papers] Multimodal Important Scene Detection in Far-view Soccer Videos Based on Single Deep Neural Architecture

Miki Haseyama, Takahiro Ogawa, Sho Takahashi, 2020 .

A Method for Improving SVM-based Image Classi fi cation Performance Based on a Target Object Detection Scheme

M. Haseyama, Takahiro Ogawa, Soh Yoshida, 2013 .

Human Emotion Recognition Using Multi-Modal Biological Signals Based On Time Lag-Considered Correlation Maximization

M. Haseyama, Takahiro Ogawa, Yuya Moroto, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The simplest measurement matrix for compressed sensing of natural images

Miki Haseyama, Zaixing He, Takahiro Ogawa, 2010, 2010 IEEE International Conference on Image Processing.

Chronic Gastritis Detection from Gastric X-ray Images via Deep Autoencoding Gaussian Mixture Models

Miki Haseyama, Masanao Matsumoto, Naoki Saito, 2019, 2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech).

Multi-View Bayesian Generative Model for Multi-Subject FMRI Data on Brain Decoding of Viewed Image Categories

Miki Haseyama, Takahiro Ogawa, Ryosuke Harakawa, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Estimating Viewed Image Categories from Human Brain Activity via Semi-supervised Fuzzy Discriminative Canonical Correlation Analysis

Miki Haseyama, Takahiro Ogawa, Ryosuke Harakawa, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Estimation of Viewed Image Categories via CCA Using Human Brain Activity

Miki Haseyama, Takahiro Ogawa, Ryosuke Harakawa, 2018, 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE).

Perceived Image Decoding From Brain Activity Using Shared Information of Multi-Subject fMRI Data

Miki Haseyama, Takahiro Ogawa, Ryosuke Harakawa, 2021, IEEE Access.

Interactive Re-ranking via Object Entropy-Guided Question Answering for Cross-Modal Image Retrieval

M. Haseyama, Takahiro Ogawa, Ren Togo, 2022, ACM Trans. Multim. Comput. Commun. Appl..

Rubber Material Property Prediction Using Electron Microscope Images of Internal Structures Taken under Multiple Conditions

M. Haseyama, Takahiro Ogawa, Ren Togo, 2021, Sensors.

Classification of Subcellular Protein Patterns in Human Cells with Transfer Learning

Miki Haseyama, Takahiro Ogawa, Ren Togo, 2019, 2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech).

Estimation of Important Scenes in Soccer Videos Based on Collaborative Use of Audio-Visual CNN Features

Miki Haseyama, Takahiro Ogawa, Sho Takahashi, 2018, 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE).

A Gaussian Process Decoder with Spectral Mixtures and a Locally Estimated Manifold for Data Visualization

M. Haseyama, Takahiro Ogawa, Keisuke Maeda, 2023, Applied Sciences.

SpectralMAP: Approximating Data Manifold With Spectral Decomposition

M. Haseyama, Takahiro Ogawa, Keisuke Maeda, 2023, IEEE Access.

Summarizing Data Structures with Gaussian Process and Robust Neighborhood Preservation

M. Haseyama, Takahiro Ogawa, Keisuke Maeda, 2022, ECML/PKDD.

Gaze-Dependent Image Re-Ranking Technique for Enhancing Content-Based Image Retrieval

M. Haseyama, Takahiro Ogawa, Keisuke Maeda, 2023, Applied Sciences.

Human-Centric Image Retrieval with Gaze-Based Image Captioning

M. Haseyama, Takahiro Ogawa, Keisuke Maeda, 2022, International Conference on Information Photonics.

Few-Shot Personalized Saliency Prediction Based on Adaptive Image Selection Considering Object and Visual Attention†

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2020, Sensors.

Refinement of Gaze-based Image Caption for Image Retrieval

M. Haseyama, Takahiro Ogawa, Keisuke Maeda, 2022, 2022 IEEE 11th Global Conference on Consumer Electronics (GCCE).

User-centric Visual Attention Estimation Based on Relationship between Image and Eye Gaze Data

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2018, 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE).

Fractal interpolation for natural images

Miki Haseyama, Hideo Kitajima, Hiroyuki Honda, 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

Assessment of Image Manipulation Using Natural Language Description: Quantification of Manipulation Direction

M. Haseyama, Takahiro Ogawa, Ren Togo, 2022, 2022 IEEE International Conference on Image Processing (ICIP).

Text-Guided Image Manipulation via Generative Adversarial Network With Referring Image Segmentation-Based Guidance

M. Haseyama, Takahiro Ogawa, Ren Togo, 2023, IEEE Access.

Off-Screen Sound Separation Based on Audio-visual Pre-training Using Binaural Audio

M. Haseyama, Takahiro Ogawa, Ren Togo, 2023, Sensors.

M. Haseyama, Sho Takahashi, Takahiro Ogawa, 2021, MMAsia.

Free-viewpoint Sports Video Generation Based on Dynamic NeRF Considering Time Series

M. Haseyama, Takahiro Ogawa, Ren Togo, 2022, 2022 IEEE 11th Global Conference on Consumer Electronics (GCCE).

Query is GAN: Scene Retrieval With Attentional Text-to-Image Generative Adversarial Network

Miki Haseyama, Takahiro Ogawa, Ren Togo, 2019, IEEE Access.

A practical method to reduce a number of reference signals for the ANC system

Miki Haseyama, Hideo Kitajima, Masaichi Akiho, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Music Playlist Generation Based on Reinforcement Learning Using Acoustic Feature Map

Miki Haseyama, Takahiro Ogawa, Ren Togo, 2020, 2020 IEEE 9th Global Conference on Consumer Electronics (GCCE).

Customer interest estimation method in real store using re-identification and 3D posture estimation models

M. Haseyama, Takahiro Ogawa, Ren Togo, 2023, Other Conferences.

Extracting hierarchical structure of content groups from different social media platforms using multiple social metadata

Miki Haseyama, Takahiro Ogawa, Ryosuke Harakawa, 2017, Multimedia Tools and Applications.

Binary Sparse Representation Based on Arbitrary Quality Metrics and Its Applications

Miki Haseyama, Akira Tanaka, Takahiro Ogawa, 2018, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Favorite Video Estimation Based on Multiview Feature Integration via KMvLFDA

Miki Haseyama, Takahiro Ogawa, Akira Toyoda, 2018, IEEE Access.

Heterogeneous Graph-based Video Search Reranking using Web Knowledge via Social Media Network

Miki Haseyama, Takahiro Ogawa, Soh Yoshida, 2015, ACM Multimedia.

Generation of Viewed Image Captions From Human Brain Activity Via Unsupervised Text Latent Space

Miki Haseyama, Takahiro Ogawa, Ren Togo, 2020, 2020 IEEE International Conference on Image Processing (ICIP).

Interest estimation method based on 2D pose features on security camera

Miki Haseyama, Ren Togo, Takahiro Ogawa, 2021, Other Conferences.

A Most Resource-Consuming Disease Estimation Method from Electronic Claim Data Based on Labeled LDA

Miki Haseyama, Takahiro Ogawa, Yasutaka Hatakeyama, 2016, IEICE Trans. Inf. Syst..

IR Questioner: QA-based Interactive Retrieval System

Miki Haseyama, Ren Togo, Takahiro Ogawa, 2021, ICMR.

An accurate noise detector for image restoration

Miki Haseyama, Hideo Kitajima, Keiko Kondo, 2002, Proceedings. International Conference on Image Processing.

Synthetic Gastritis Image Generation via Loss Function-Based Conditional PGGAN

Miki Haseyama, Ren Togo, Takahiro Ogawa, 2019, IEEE Access.

Gaussian Distributed Graph Constrained Multi-Modal Gaussian Process Latent Variable Model for Ordinal Labeled Data

M. Haseyama, Takahiro Ogawa, Keisuke Maeda, 2022, International Conference on Information Photonics.

Feature Integration via Semi-Supervised Ordinally Multi-Modal Gaussian Process Latent Variable Model

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Feature Integration through Semi-supervised Multimodal Gaussian Process Latent Variable Model with Pseudo-labels for Interest Level Estimation

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2021, IEEE Access.

Multi-Modal Label Dequantized Gaussian Process Latent Variable Model for Ordinal Label Estimation

Miki Haseyama, Masanao Matsumoto, Naoki Saito, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Neural Network Maximizing Ordinally Supervised Multi-View Canonical Correlation for Deterioration Level Estimation

Miki Haseyama, Takahiro Ogawa, Sho Takahashi, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

A rating prediction method for e-commerce application using ordinal regression based on LDA with multi-modal features

Miki Haseyama, Takahiro Ogawa, Takayuki Kawashima, 2013, 2013 IEEE 2nd Global Conference on Consumer Electronics (GCCE).

Supervised Fractional-Order Embedding Multiview Canonical Correlation Analysis via Ordinal Label Dequantization for Image Interest Estimation

Miki Haseyama, Masanao Matsumoto, Naoki Saito, 2021, IEEE Access.

Music Playlist Generation Based on Graph Exploration Using Reinforcement Learning

Miki Haseyama, Ren Togo, Takahiro Ogawa, 2021, 2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech).

Parameter-efficient Tuning of a Pre-trained Model via Prompt Learning in Cross-modal Retrieval

M. Haseyama, Takahiro Ogawa, Huaying Zhang, 2023, 2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan).

Instructions for use Title Bregman pooling : feature-space local pooling for imageclassification

M. Haseyama, Takahiro Ogawa, Alameen Najjar, 2016 .

Material Compound-Property Retrieval Using Electron Microscope Images for Rubber Material Development

M. Haseyama, Takahiro Ogawa, Ren Togo, 2023, IEEE Access.

Cross-Domain Recommendation Method Based On Multi-Layer Graph Analysis With Visual Information

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2021, 2021 IEEE International Conference on Image Processing (ICIP).

Helicobacter Pylori infection detection from gastric X-ray images based on feature fusion and decision fusion

Miki Haseyama, Takahiro Ogawa, Kenta Ishihara, 2017, Comput. Biol. Medicine.

Visual Sentiment Prediction Using Cross-Way Few-Shot Learning Based on Knowledge Distillation

M. Haseyama, Takahiro Ogawa, Yingrui Ye, 2022, 2022 IEEE International Conference on Image Processing (ICIP).

Deterioration Level Estimation Based on Convolutional Neural Network Using Confidence-Aware Attention Mechanism for Infrastructure Inspection

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2022, Sensors.

Cross Low-Dimension Pursuit for Sparse Signal Recovery from Incomplete Measurements Based on Permuted Block Diagonal Matrix

Miki Haseyama, Takahiro Ogawa, Zaixing He, 2011, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

NMF-Based Spectral Reflectance Estimation From Image Pairs Including Near-Infrared Components

Miki Haseyama, Takahiro Ogawa, Yuta Igarashi, 2016, IEEE Transactions on Circuits and Systems for Video Technology.

Learning Graph Laplacian from Intrinsic Patterns via Gaussian Process

M. Haseyama, Takahiro Ogawa, Keisuke Maeda, 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Interpretable Convolutional Neural Network Including Attribute Estimation for Image Classiﬁcation

M. Haseyama, Takahiro Ogawa, Keisuke Maeda, 2020 .

Music Video Recommendation Based on Link Prediction Considering Local and Global Structures of a Network

Miki Haseyama, Takahiro Ogawa, Ryosuke Harakawa, 2019, IEEE Access.

Simultaneous Realization of Multiple Music Video Applications Based on Heterogeneous Network Analysis Via Latent Link Estimation

Miki Haseyama, Takahiro Ogawa, Ryosuke Harakawa, 2018, 2018 IEEE International Conference on Multimedia and Expo (ICME).

Construction of network using heterogeneous social metadata for music video recommendation

Miki Haseyama, Takahiro Ogawa, Ryosuke Harakawa, 2017, 2017 IEEE 6th Global Conference on Consumer Electronics (GCCE).

Extracting Hierarchical Structure of Web Video Groups Based on Sentiment-Aware Signed Network Analysis

Miki Haseyama, Takahiro Ogawa, Ryosuke Harakawa, 2017, IEEE Access.

Tracking hierarchical structure of web video groups based on salient keyword matching including semantic broadness estimation

Miki Haseyama, Takahiro Ogawa, Ryosuke Harakawa, 2016, 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

[Paper] Personalized Recommendation of Tumblr Posts Using Graph Convolutional Networks with Preference-aware Multimodal Features

Miki Haseyama, Masahiro Iwahashi, Takahiro Ogawa, 2021 .

Union-Set Multi-source Model Adaptation for Semantic Segmentation

M. Haseyama, Takahiro Ogawa, Ren Togo, 2022, ECCV.

Adaptive example-based super-resolution using kernel PCA with a novel classification approach

Miki Haseyama, Takahiro Ogawa, M. Haseyama, 2011, EURASIP J. Adv. Signal Process..

Bayesian network-based distress estimation using image features in road structure assessment

Miki Haseyama, Takahiro Ogawa, Sho Takahashi, 2014, 2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE).

Classification of Expert-Novice Level Using Eye Tracking And Motion Data via Conditional Multimodal Variational Autoencoder

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Convolutional Sparse Coding-based Anomalous Event Detection in Surveillance Videos

Miki Haseyama, Masanao Matsumoto, Naoki Saito, 2019, 2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW).

[Survey paper] A Review of Video Retrieval Based on Image and Video Semantic Understanding

Nobuyuki Yagi, Miki Haseyama, Takahiro Ogawa, 2013 .

[Survey paper] A Review of Broadcasting Technology:From Production to Distribution

Nobuyuki Yagi, Miki Haseyama, Norifumi Egami, 2013 .

[Survey paper] A Review of Broadcasting Technology

Nobuyuki Yagi, Miki Haseyama, Norifumi Egami, 2013 .

Complexity Evaluation of Medical Image Data for Classification Problem Based on Spectral Clustering

M. Haseyama, Takahiro Ogawa, Guang Li, 2020, 2020 IEEE 9th Global Conference on Consumer Electronics (GCCE).

Feature Integration Via Geometrical Supervised Multi-View Multi-Label Canonical Correlation For Incomplete Label Assignment

Miki Haseyama, Takahiro Ogawa, Sho Takahashi, 2020, 2020 IEEE International Conference on Image Processing (ICIP).

Multimodal Image-to-Image Translation for Generation of Gastritis Images

Miki Haseyama, Takahiro Ogawa, Ren Togo, 2020, 2020 IEEE International Conference on Image Processing (ICIP).

[Paper] Image Retrieval Based on Supervised Local Regression and Global Alignment with Relevance Feedback for Insect Identification

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2020 .

Chronic gastritis classification using gastric X-ray images with a semi-supervised learning method based on tri-training

Miki Haseyama, Takahiro Ogawa, Ren Togo, 2020, Medical & Biological Engineering & Computing.

Gastritis Detection from Gastric X-Ray Images Via Fine-Tuning of Patch-Based Deep Convolutional Neural Network

Miki Haseyama, Ren Togo, Takahiro Ogawa, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

Missing Image Data Estimation via Iterative Convolutional Sparse Coding

Miki Haseyama, Masanao Matsumoto, Naoki Saito, 2018, 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE).

A robust human-eye tracking method in video sequences

Miki Haseyama, Chiaki Kaneko, M. Haseyama, 2005, IEEE International Conference on Image Processing 2005.

A Kalman Filter-Based Method for Restoration of Images Obtained by an In-Vehicle Camera in Foggy Conditions

Miki Haseyama, Takahiro Ogawa, Tomoki Hiramatsu, 2009, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Estimation of Interest Levels From Behavior Features via Tensor Completion Including Adaptive Similar User Selection

Miki Haseyama, Takahiro Ogawa, Tetsuya Kushima, 2020, IEEE Access.

Adaptive Subspace-Based Inverse Projections via Division Into Multiple Sub-Problems for Missing Image Data Restoration

Miki Haseyama, Takahiro Ogawa, M. Haseyama, 2016, IEEE Transactions on Image Processing.

Distress Detection in Subway Tunnel Images via Data Augmentation Based on Selective Image Cropping and Patching

M. Haseyama, Takahiro Ogawa, Ren Togo, 2022, Sensors.

Field position estimation in soccer videos using convolutional neural network-based image features

Miki Haseyama, Takahiro Ogawa, Sho Takahashi, 2019, Other Conferences.

Content-based Image Retrieval Using Effective Synthesized Images from Different Camera Views via pixelNeRF

M. Haseyama, Takahiro Ogawa, Ren Togo, 2022, 2022 IEEE 11th Global Conference on Consumer Electronics (GCCE).

A Controllable Recoloring Method for Novel Views Using Segment Anything Model

M. Haseyama, Takahiro Ogawa, Ren Togo, 2023, 2023 IEEE 12th Global Conference on Consumer Electronics (GCCE).

An implementation of a normalized ARMA lattice filter with a CORDIC algorithm

Miki Haseyama, Hideo Kitajima, Shinichi Shiraishi, 1998, ISCAS '98. Proceedings of the 1998 IEEE International Symposium on Circuits and Systems (Cat. No.98CH36187).

Computers in Biology and Medicine

M. Haseyama, Takahiro Ogawa, Guang Li, 2023 .

Self-supervised learning for gastritis detection with gastric X-ray images

M. Haseyama, Takahiro Ogawa, Guang Li, 2021, International Journal of Computer Assisted Radiology and Surgery.

Supervised Fractional-Order Embedding Geometrical Multi-View CCA (SFGMCCA) for Multiple Feature Integration

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2020, IEEE Access.

Random combination for information extraction in compressed sensing and sparse representation-based pattern recognition

Miki Haseyama, Takahiro Ogawa, Xinyue Zhao, 2014, Neurocomputing.

M. Haseyama, Takahiro Ogawa, Keisuke Maeda, 2022, MMAsia.

Emotion estimation via tensor-based supervised decision-level fusion from multiple Brodmann areas

Miki Haseyama, Takahiro Ogawa, Kento Sugata, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Estimating human emotion evoked by visual stimuli using fMRI data

Miki Haseyama, Takahiro Ogawa, Kento Sugata, 2016, 2016 IEEE 5th Global Conference on Consumer Electronics.

Personalized video preference estimation based on early fusion using multiple users' viewing behavior

Miki Haseyama, Takahiro Ogawa, Yoshiki Ito, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Individual Persistence Adaptation for User-Centric Evaluation of User Satisfaction in Recommender Systems

M. Haseyama, Takahiro Ogawa, Keisuke Maeda, 2024, IEEE Access.

Deep Reinforcement Learning-based Music Recommendation with Knowledge Graph Using Acoustic Features

M. Haseyama, Takahiro Ogawa, Ren Togo, 2021 .

Personalized Recommendation of Tumblr Posts Using Graph Convolutional Networks with Preference-aware Multimodal Features

M. Haseyama, Takahiro Ogawa, M. Iwahashi, 2020 .

Prediction of Amyloid-β Positivity Using QSM Images Based on Bootstrap Your Own Latent

M. Haseyama, Takahiro Ogawa, K. Hirata, 2022, 2022 IEEE 11th Global Conference on Consumer Electronics (GCCE).

A Method for Predicting Importance of Attack Players Based on Multiple Gaze Tracking Data in Soccer Videos

Miki Haseyama, Takahiro Ogawa, Sho Takahashi, 2019, 2019 IEEE 8th Global Conference on Consumer Electronics (GCCE).

Decision level fusion-based team tactics estimation in soccer videos

Miki Haseyama, Takahiro Ogawa, Sho Takahashi, 2016, 2016 IEEE 5th Global Conference on Consumer Electronics.

Active grid-based method for visualizing pass regions in soccer videos

Miki Haseyama, Sho Takahashi, M. Haseyama, 2013, 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW).

Entomomimetics and Pest Management

M. Haseyama, M. Shimomura, T. Shimozawa, 2014 .

A Web video retrieval method using hierarchical structure of Web video groups

Miki Haseyama, Takahiro Ogawa, Ryosuke Harakawa, 2016, Multimedia Tools and Applications.

Hierarchical content group detection from different social media platforms using Web link structure

Miki Haseyama, Takahiro Ogawa, Ryosuke Harakawa, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Players Clustering Based on Graph Theory for Tactics Analysis Purpose in Soccer Videos

Miki Haseyama, Hirofumi Kon, M. Haseyama, 2007, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Convolutional sparse coding‐based deep random vector functional link network for distress classification of road structures

Miki Haseyama, Takahiro Ogawa, Sho Takahashi, 2019, Comput. Aided Civ. Infrastructure Eng..

Visualizing Web Images Using Fisher Discriminant Locality Preserving Canonical Correlation Analysis

Miki Haseyama, Takahiro Ogawa, Kohei Tateno, 2017, IEICE Trans. Inf. Syst..

[Survey paper] A Review of Video Retrieval Based on Image and Video Semantic Understanding

M. Haseyama, Takahiro Ogawa, N. Yagi, 2013 .

Flexibly manipulating popularity bias for tackling trade-offs in recommendation

M. Haseyama, Takahiro Ogawa, Ren Togo, 2024, Inf. Process. Manag..

A Novel Frame-Selection Metric for Video Inpainting to Enhance Urban Feature Extraction

M. Haseyama, Takahiro Ogawa, Guang Li, 2024, Sensors (Basel, Switzerland).

Explainable artist recommendation based on reinforcement knowledge graph exploration

M. Haseyama, Takahiro Ogawa, Ren Togo, 2022, Other Conferences.

User Background Information-Aware Music Recommendation with Reinforcement Learning-Based Knowledge Graph Exploration

M. Haseyama, Takahiro Ogawa, Ren Togo, 2021, 2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW).

Parameter-efficient tuning of cross-modal retrieval for a specific database via trainable textual and visual prompts

M. Haseyama, Takahiro Ogawa, Ren Togo, 2024, Int. J. Multim. Inf. Retr..

Zero-Shot Visual Sentiment Prediction via Cross-Domain Knowledge Distillation

M. Haseyama, Takahiro Ogawa, Yingrui Ye, 2024, IEEE Open Journal of Signal Processing.

Estimation of Visual Features of Viewed Image From Individual and Shared Brain Information Based on FMRI Data Using Probabilistic Generative Model

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Interest Estimation for Images Using Eye Gaze-based Visual and Text Features via DLPCCA

Miki Haseyama, Masanao Matsumoto, Takahiro Ogawa, 2020, 2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech).

Interest Estimation for Images Based on Eye Gaze-based Visual and Text Features

Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, 2019, 2019 IEEE 8th Global Conference on Consumer Electronics (GCCE).

Gaze-based visual feature extraction via DLPCCA for visual sentiment estimation

Miki Haseyama, Naoki Saito, Takahiro Ogawa, 2019, Other Conferences.

A Human-Centered Neural Network Model with Discriminative Locality Preserving Canonical Correlation Analysis for Image Classification

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Interest Level Estimation of Items via Matrix Completion Based on Adaptive User Matrix Construction

Miki Haseyama, Takahiro Ogawa, Tetsuya Kushima, 2018, 2018 IEEE International Conference on Multimedia and Expo (ICME).

Boosting automatic COVID-19 detection performance with self-supervised learning and batch knowledge ensembling

M. Haseyama, Takahiro Ogawa, Guang Li, 2022, Computers in Biology and Medicine.

Multimodal Transformer Model Using Time-Series Data to Classify Winter Road Surface Conditions

M. Haseyama, Takahiro Ogawa, Ren Togo, 2024, Sensors.

A Note of Cut Detection Using Audio Signals : Its Improvement and Results

M. Haseyama, H. Kitajima, Takahiro Usuda, 1998 .

Think Twice Before Recognizing: Large Multimodal Models for General Fine-grained Traffic Sign Recognition

M. Haseyama, Takahiro Ogawa, Guang Li, 2024, 2409.01534.

Cross-domain Few-shot In-context Learning for Enhancing Traffic Sign Recognition

M. Haseyama, Takahiro Ogawa, Guang Li, 2024, ArXiv.

Manipulation Direction: Evaluating Text-Guided Image Manipulation Based on Similarity between Changes in Image and Text Modalities

M. Haseyama, Takahiro Ogawa, Ren Togo, 2023, Sensors.

Text-Guided Facial Image Manipulation for Wild Images via Manipulation Direction-Based Loss

M. Haseyama, Takahiro Ogawa, Ren Togo, 2023, 2023 IEEE International Conference on Image Processing (ICIP).

Multi-View Variational Recurrent Neural Network for Human Emotion Recognition Using Multi-Modal Biological Signals

M. Haseyama, Takahiro Ogawa, Yuya Moroto, 2023, 2023 IEEE International Conference on Image Processing (ICIP).

Face Synthesis via User Manipulation of Disentangled Latent Representation

Miki Haseyama, Takahiro Ogawa, Ren Togo, 2020, 2020 IEEE 9th Global Conference on Consumer Electronics (GCCE).

Variational Autoencoder Based Unsupervised Domain Adaptation For Semantic Segmentation

Miki Haseyama, Takahiro Ogawa, Ren Togo, 2020, 2020 IEEE International Conference on Image Processing (ICIP).

D-11-51 A Simple Performance Measure for Interframe Predictors for Video Coding

Miki Haseyama, Hideo Kitajima, M. Haseyama, 2003 .