TITGT at TRECVID 2009 Workshop. - Nakamasa Inoue; Shanshan Hao; Tatsuhiko Saito; Koichi Shinoda; Ilseo Kim; Chin-Hui Lee (TRECVID, 2009)

High-Level Feature Extraction Using SIFT GMMs and Audio Models. - Nakamasa Inoue; Tatsuhiko Saito; Koichi Shinoda; Sadaoki Furui (ICPR, 2010)

TT+GT at TRECVID 2010 Workshop. - Nakamasa Inoue; Toshiya Wada; Yusuke Kamishima; Koichi Shinoda; Ilseo Kim; Byungki Byun; Chin-Hui Lee (TRECVID, 2010)

A fast MAP adaptation technique for gmm-supervector-based video semantic indexing systems. - Nakamasa Inoue; Koichi Shinoda (ACM Multimedia, 2011)

TokyoTech+Canon at TRECVID 2011. - Nakamasa Inoue; Toshiya Wada; Yusuke Kamishima; Koichi Shinoda; Shunsuke Sato (TRECVID, 2011)

q-Gaussian Mixture Models Based on Non-extensive Statistics for Image and Video Semantic Indexing. - Nakamasa Inoue; Koichi Shinoda (ACCV (2), 2012)

Multimedia event detection using GMM supervectors and SVMS. - Yusuke Kamishima; Nakamasa Inoue; Koichi Shinoda; Shunsuke Sato (ICIP, 2012)

TokyoTechCanon at TRECVID 2012. - Nakamasa Inoue; Yusuke Kamishima; Kotaro Mori; Koichi Shinoda (TRECVID, 2012)

A Fast and Accurate Video Semantic-Indexing System Using Fast MAP Adaptation and GMM Supervectors. - Nakamasa Inoue; Koichi Shinoda (IEEE Trans. Multim., 2012)

Neighbor-to-Neighbor Search for Fast Coding of Feature Vectors. - Nakamasa Inoue; Koichi Shinoda (ICCV, 2013)

TokyoTechCanon at TRECVID 2013. - Nakamasa Inoue; Kotaro Mori; Zhuolin Liang; Mengxi Lin; Koichi Shinoda; Shunsuke Sato (TRECVID, 2013)

Event detection in consumer videos using GMM supervectors and SVMs. - Yusuke Kamishima; Nakamasa Inoue; Koichi Shinoda (EURASIP J. Image Video Process., 2013)

q-Gaussian mixture models for image and video semantic indexing. - Nakamasa Inoue; Koichi Shinoda (J. Vis. Commun. Image Represent., 2013)

Reusing Speech Techniques for Video Semantic Indexing [Applications Corner]. - Koichi Shinoda; Nakamasa Inoue (IEEE Signal Process. Mag., 2013)

Spectral Graph Skeletons for 3D Action Recognition. - Tommi Kerola; Nakamasa Inoue; Koichi Shinoda (ACCV (4), 2014)

n-gram Models for Video Semantic Indexing. - Nakamasa Inoue; Koichi Shinoda (ACM Multimedia, 2014)

Event Detection by Velocity Pyramid. - Zhuolin Liang; Nakamasa Inoue; Koichi Shinoda (MMM (1), 2014)

TokyoTech-Waseda at TRECVID 2014. - Nakamasa Inoue; Zhuolin Liang; Mengxi Lin; Hai Dang Tran; Koichi Shinoda; Xuefeng Zhang; Kazuya Ueki (TRECVID, 2014)

Combining Audio Features and Visual I-Vector @ MediaEval 2015 Multimodal Person Discovery in Broadcast TV. - Fumito Nishi; Nakamasa Inoue; Koichi Shinoda (MediaEval, 2015)

Vocabulary Expansion Using Word Vectors for Video Semantic Indexing. - Nakamasa Inoue; Koichi Shinoda (ACM Multimedia, 2015)

TokyoTech at TRECVID 2015. - Nakamasa Inoue; Hai Dang Tran; Ryosuke Yamamoto; Koichi Shinoda (TRECVID, 2015)

Graph regularized implicit pose for 3D human action recognition. - Tommi Kerola; Nakamasa Inoue; Koichi Shinoda (APSIPA, 2016)

Tokyo Tech at MediaEval 2016 Multimodal Person Discovery in Broadcast TV task. - Fumito Nishi; Nakamasa Inoue; Koji Iwano; Koichi Shinoda (MediaEval, 2016)

Adaptation of Word Vectors using Tree Structure for Visual Semantics. - Nakamasa Inoue; Koichi Shinoda (ACM Multimedia, 2016)

TokyoTech at TRECVID 2016. - Nakamasa Inoue; Ryosuke Yamamoto; Na Rong; Koichi Shinoda (TRECVID, 2016)

Fast Coding of Feature Vectors Using Neighbor-to-Neighbor Search. - Nakamasa Inoue; Koichi Shinoda (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

A unified network for multi-speaker speech recognition with multi-channel recordings. - Conggui Liu; Nakamasa Inoue; Koichi Shinoda (APSIPA, 2017)

Multimodal speech recognition using mouth images from depth camera. - Yuki Yasui; Nakamasa Inoue; Koji Iwano; Koichi Shinoda (APSIPA, 2017)

User adaptation of convolutional neural network for human activity recognition. - Shinya Matsui; Nakamasa Inoue; Yuko Akagi; Goshu Nagino; Koichi Shinoda (EUSIPCO, 2017)

CTC Network with Statistical Language Modeling for Action Sequence Recognition in Videos. - Mengxi Lin; Nakamasa Inoue; Koichi Shinoda (ACM Multimedia (Thematic Workshops), 2017)

TokyoTech-AIST at TRECVID 2017: Multimedia Event Detection Using Deep CNNs and Zero-Shot Classiers. - Nakamasa Inoue; Ryosuke Yamamoto; Na Rong; Satoshi Kanai; Junsuke Masada; Chihiro Shiraishi; Shi-wook Lee; Koichi Shinoda (TRECVID, 2017)

Cross-view human action recognition from depth maps using spectral graph sequences. - Tommi Kerola; Nakamasa Inoue; Koichi Shinoda (Comput. Vis. Image Underst., 2017)

A Fine-to-Coarse Convolutional Neural Network for 3D Human Action Recognition. - Thao Le Minh; Nakamasa Inoue; Koichi Shinoda (BMVC, 2018)

Multi-Task Autoencoder for Noise-Robust Speech Recognition. - Haoyi Zhang; Conggui Liu; Nakamasa Inoue; Koichi Shinoda (ICASSP, 2018)

Detecting Alzheimer's Disease Using Gated Convolutional Neural Network from Audio Data. - Tifani Warnita; Nakamasa Inoue; Koichi Shinoda (INTERSPEECH, 2018)

I-vector Transformation Using Conditional Generative Adversarial Networks for Short Utterance Speaker Verification. - Jiacen Zhang; Nakamasa Inoue; Koichi Shinoda (INTERSPEECH, 2018)

Few-Shot Adaptation for Multimedia Semantic Indexing. - Nakamasa Inoue; Koichi Shinoda (ACM Multimedia, 2018)

VANT at TRECVID 2018. - Nakamasa Inoue; Chihiro Shiraishi; Aleksandr Drozd; Koichi Shinoda; Shi-wook Lee; Alex ChiChung Kot (TRECVID, 2018)

Sequence-level Knowledge Distillation for Model Compression of Attention-based Sequence-to-sequence Speech Recognition. - Raden Mu'az Mun'im; Nakamasa Inoue; Koichi Shinoda (ICASSP, 2019)

Quasi-Newton Adversarial Attacks on Speaker Verification Systems. - Keita Goto; Nakamasa Inoue (APSIPA, 2020)

Optimizing Speaker Embeddings using Meta-Training Sets. - Nakamasa Inoue; Keita Goto (APSIPA, 2020)

Semi-Supervised Contrastive Learning with Generalized Contrastive Loss and Its Application to Speaker Recognition. - Nakamasa Inoue; Keita Goto (APSIPA, 2020)

Closed-Form Pre-Training for Small-Sample Environmental Sound Recognition. - Nakamasa Inoue; Keita Goto (APSIPA, 2020)

Deep Video Understanding of Character Relationships in Movies. - Yang Lu; Asri Rizki Yuliani; Keisuke Ishikawa; Ronaldo Prata Amorim; Roland Hartanto; Nakamasa Inoue; Kuniaki Uto; Koichi Shinoda (ICMI Companion, 2020)

Initialization Using Perlin Noise for Training Networks with a Limited Amount of Data. - Nakamasa Inoue; Eisuke Yamagata; Hirokatsu Kataoka (ICPR, 2020)

Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Translation. - Takehiko Ohkawa; Naoto Inoue; Hirokatsu Kataoka; Nakamasa Inoue (ICPR, 2020)

Tokyo Tech at TRECVID 2020: Relation Modeling for Video Action Detection. - Ronaldo Prata Amorim; Nakamasa Inoue; Koichi Shinoda (TRECVID, 2020)

Graph Grouping Loss for Metric Learning of Face Image Representations. - Nakamasa Inoue (VCIP, 2020)

Augmentation-Agnostic Regularization for Unsupervised Contrastive Learning with Its Application to Speaker Verification. - Nakamasa Inoue; Tsubasa Maruyama; Keita Goto (APSIPA ASC, 2021)

Teacher-Assisted Mini-Batch Sampling for Blind Distillation Using Metric Learning. - Nakamasa Inoue (ICASSP, 2021)

Formula-driven Supervised Learning with Recursive Tiling Patterns. - Hirokatsu Kataoka; Asato Matsumoto; Ryosuke Yamada; Yutaka Satoh; Eisuke Yamagata; Nakamasa Inoue (ICCVW, 2021)

Disentangling Latent Groups Of Factors. - Nakamasa Inoue; Ryota Yamada; Rei Kawakami; Ikuro Sato (ICIP, 2021)

Learning VAE with Categorical Labels for Generating Conditional Handwritten Characters. - Keita Goto; Nakamasa Inoue (MVA, 2021)

Can Vision Transformers Learn without Natural Images? - Kodai Nakashima; Hirokatsu Kataoka; Asato Matsumoto; Kenji Iwata; Nakamasa Inoue (CoRR, 2021)

Speech Paralinguistic Approach for Detecting Dementia Using Gated Convolutional Neural Network. - Mariana Rodrigues Makiuchi; Tifani Warnita; Nakamasa Inoue; Koichi Shinoda; Michitaka Yoshimura; Momoko Kitazawa; Kei Funaki; Yoko Eguchi; Taishiro Kishimoto (IEICE Trans. Inf. Syst., 2021)

Can Vision Transformers Learn without Natural Images? - Kodai Nakashima; Hirokatsu Kataoka; Asato Matsumoto; Kenji Iwata; Nakamasa Inoue; Yutaka Satoh (AAAI, 2022)

Replacing Labeled Real-image Datasets with Auto-generated Contours. - Hirokatsu Kataoka; Ryo Hayamizu; Ryosuke Yamada; Kodai Nakashima; Sora Takashima; Xinyu Zhang; Edgar Josafat Martinez-Noriega; Nakamasa Inoue; Rio Yokota (CVPR, 2022)

Downstream Augmentation Generation For Contrastive Learning. - Tomohiro Hayase; Suguru Yasutomi; Nakamasa Inoue (ICASSP, 2022)

PoF: Post-Training of Feature Extractor for Improving Generalization. - Ikuro Sato; Ryota Yamada; Masayuki Tanaka 001; Nakamasa Inoue; Rei Kawakami (ICML, 2022)

Spatiotemporal Initialization for 3D CNNs with Generated Motion Patterns. - Hirokatsu Kataoka; Kensho Hara; Ryusuke Hayashi; Eisuke Yamagata; Nakamasa Inoue (WACV, 2022)

Pre-Training Without Natural Images. - Hirokatsu Kataoka; Kazushige Okayasu; Asato Matsumoto; Eisuke Yamagata; Ryosuke Yamada; Nakamasa Inoue; Akio Nakamura; Yutaka Satoh (Int. J. Comput. Vis., 2022)

Fixed-Weight Difference Target Propagation. - Tatsukichi Shibuya; Nakamasa Inoue; Rei Kawakami; Ikuro Sato (AAAI, 2023)

Learning with Partial Forgetting in Modern Hopfield Networks. - Toshihiro Ota; Ikuro Sato; Rei Kawakami; Masayuki Tanaka 001; Nakamasa Inoue (AISTATS, 2023)

Visual Atoms: Pre-Training Vision Transformers with Sinusoidal Waves. - Sora Takashima; Ryo Hayamizu; Nakamasa Inoue; Hirokatsu Kataoka; Rio Yokota (CVPR, 2023)

Step restriction for improving adversarial attacks. - Keita Goto; Shinta Otake; Rei Kawakami; Nakamasa Inoue (ICASSP, 2023)

Parameter Efficient Transfer Learning for Various Speech Processing Tasks. - Shinta Otake; Rei Kawakami; Nakamasa Inoue (ICASSP, 2023)

Pre-training Vision Transformers with Very Limited Synthesized Images. - Ryo Nakamura; Hirokatsu Kataoka; Sora Takashima; Edgar Josafat Martinez-Noriega; Rio Yokota; Nakamasa Inoue (ICCV, 2023)

SegRCDB: Semantic Segmentation via Formula-Driven Supervised Learning. - Risa Shinoda; Ryo Hayamizu; Kodai Nakashima; Nakamasa Inoue; Rio Yokota; Hirokatsu Kataoka (ICCV, 2023)

Scale-space Tokenization for Improving the Robustness of Vision Transformers. - Lei Xu; Rei Kawakami; Nakamasa Inoue (ACM Multimedia, 2023)

CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud Data. - Taiki Miyanishi; Fumiya Kitamori; Shuhei Kurita; Jungdae Lee; Motoaki Kawanabe; Nakamasa Inoue (NeurIPS, 2023)

Text-Guided Object Detector for Multi-modal Video Question Answering. - Ruoyue Shen; Nakamasa Inoue; Koichi Shinoda (WACV, 2023)

Efficient Target Propagation by Deriving Analytical Solution. - Yanhao Bao; Tatsukichi Shibuya; Ikuro Sato; Rei Kawakami; Nakamasa Inoue (AAAI, 2024)

A Simple Finetuning Strategy Based on Bias-Variance Ratios of Layer-Wise Gradients. - Mao Tomita; Ikuro Sato; Rei Kawakami; Nakamasa Inoue; Satoshi Ikehata; Masayuki Tanaka 001 (ACCV (8), 2024)

Augmenting Pass Prediction via Imitation Learning in Soccer Simulations. - Takeshi Kaneko; Rei Kawakami; Takeshi Naemura; Nakamasa Inoue (CVPR Workshops, 2024)

Scaling Backwards: Minimal Synthetic Pre-Training? - Ryo Nakamura; Ryu Tadokoro; Ryosuke Yamada; Yuki M. Asano; Iro Laina; Christian Rupprecht 001; Nakamasa Inoue; Rio Yokota; Hirokatsu Kataoka (ECCV (15), 2024)

Rethinking Image Super-Resolution from Training Data Perspectives. - Go Ohtani; Ryu Tadokoro; Ryosuke Yamada; Yuki M. Asano; Iro Laina; Christian Rupprecht 001; Nakamasa Inoue; Rio Yokota; Hirokatsu Kataoka; Yoshimitsu Aoki (ECCV (17), 2024)

Formula-Supervised Visual-Geometric Pre-training. - Ryosuke Yamada; Kensho Hara; Hirokatsu Kataoka; Koshi Makihara; Nakamasa Inoue; Rio Yokota; Yutaka Satoh (ECCV (22), 2024)

Cubic Knowledge Distillation for Speech Emotion Recognition. - Zhibo Lou; Shinta Otake; Zhengxiao Li; Rei Kawakami; Nakamasa Inoue (ICASSP, 2024)

PolarDB: Formula-Driven Dataset for Pre-Training Trajectory Encoders. - Sota Miyamoto; Takuma Yagi; Yuto Makimoto; Mahiro Ukai; Yoshitaka Ushiku; Atsushi Hashimoto 001; Nakamasa Inoue (ICASSP, 2024)

Pseudo-Outlier Synthesis Using Q-Gaussian Distributions for Out-of-Distribution Detection. - Ryo Nakamura; Ryu Tadokoro; Eisuke Yamagata; Yusuke Kondo; Kensho Hara; Hirokatsu Kataoka; Nakamasa Inoue (ICASSP, 2024)

Spatiality-Aware Prompt Tuning for Few-Shot Small Object Detection. - Takumi Karasawa; Nakamasa Inoue; Rei Kawakami (ICIP, 2024)

Pyramid Coder: Hierarchical Code Generator for Compositional Visual Question Answering. - Ruoyue Shen; Nakamasa Inoue; Koichi Shinoda (ICIP, 2024)

On the Relationship Between Double Descent of CNNs and Shape/Texture Bias Under Learning Process. - Shun Iwase; Shuya Takahashi; Nakamasa Inoue; Rio Yokota; Ryo Nakamura; Hirokatsu Kataoka; Eisaku Maeda (ICPR (25), 2024)

Locally Aligned Rectified Flow Model for Speech Enhancement Towards Single-Step Diffusion. - Zhengxiao Li; Nakamasa Inoue (INTERSPEECH, 2024)

AdaCoder: Adaptive Prompt Compression for Programmatic Visual Question Answering. - Mahiro Ukai; Shuhei Kurita; Atsushi Hashimoto 001; Yoshitaka Ushiku; Nakamasa Inoue (ACM Multimedia, 2024)

CityNav: Language-Goal Aerial Navigation Dataset with Geographic Information. - Jungdae Lee; Taiki Miyanishi; Shuhei Kurita; Koya Sakamoto; Daichi Azuma; Yutaka Matsuo; Nakamasa Inoue (CoRR, 2024)

HarmonicEval: Multi-modal, Multi-task, Multi-criteria Automatic Evaluation Using a Vision Language Model. - Masanari Ohi; Masahiro Kaneko; Naoaki Okazaki; Nakamasa Inoue (CoRR, 2024)

ELP-Adapters: Parameter Efficient Adapter Tuning for Various Speech Processing Tasks. - Nakamasa Inoue; Shinta Otake; Takumi Hirose; Masanari Ohi; Rei Kawakami (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Rectified Lagrangian for Out-of-Distribution Detection in Modern Hopfield Networks. - Ryo Moriai; Nakamasa Inoue; Masayuki Tanaka 001; Rei Kawakami; Satoshi Ikehata; Ikuro Sato (AAAI, 2025)

Multi-Point Positional Insertion Tuning for Small Object Detection. - Kanoko Goto; Takumi Karasawa; Takumi Hirose; Rei Kawakami; Nakamasa Inoue (ICASSP, 2025)

Binary Stochastic Flip Optimization for Training Binary Neural Networks. - Tatsukichi Shibuya; Nakamasa Inoue; Rei Kawakami; Ikuro Sato (ICASSP, 2025)

HALL-E: Hierarchical Neural Codec Language Model for Minute-Long Zero-Shot Text-to-Speech Synthesis. - Yuto Nishimura; Takumi Hirose; Masanari Ohi; Hideki Nakayama; Nakamasa Inoue (ICLR, 2025)

Diffusion-Based Generative Regularization for Supervised Discriminative Learning. - Takuya Asakura; Nakamasa Inoue; Koichi Shinoda (WACV, 2025)

On the Relationship Between Double Descent of CNNs and Shape/Texture Bias Under Learning Process. - Shun Iwase; Shuya Takahashi; Nakamasa Inoue; Rio Yokota; Ryo Nakamura; Hirokatsu Kataoka (CoRR, 2025)

Free Random Projection for In-Context Reinforcement Learning. - Tomohiro Hayase; Benoit Collins; Nakamasa Inoue (CoRR, 2025)

Masked Gated Linear Unit. - Yukito Tajima; Nakamasa Inoue; Yusuke Sekikawa; Ikuro Sato; Rio Yokota (CoRR, 2025)

GeoProg3D: Compositional Visual Reasoning for City-Scale 3D Language Fields. - Shunsuke Yasuki; Taiki Miyanishi; Nakamasa Inoue; Shuhei Kurita; Koya Sakamoto; Daichi Azuma; Masato Taki; Yutaka Matsuo (CoRR, 2025)

AnimalClue: Recognizing Animals by their Traces. - Risa Shinoda; Nakamasa Inoue; Iro Laina; Christian Rupprecht 001; Hirokatsu Kataoka (CoRR, 2025)

AgroBench: Vision-Language Model Benchmark in Agriculture. - Risa Shinoda; Nakamasa Inoue; Hirokatsu Kataoka; Masaki Onishi; Yoshitaka Ushiku (CoRR, 2025)