Nakamasa Inoue

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 72

Top Topics

Action Recognition

Synthesized Images

Supervised Learning

Convolutional Neural Network

Top Venues

Publications

Risa Shinoda, Ryo Hayamizu, Kodai Nakashima, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka
SegRCDB: Semantic Segmentation via Formula-Driven Supervised Learning. ICCV (2023)
Toshihiro Ota, Ikuro Sato, Rei Kawakami, Masayuki Tanaka, Nakamasa Inoue
Learning with Partial Forgetting in Modern Hopfield Networks. AISTATS (2023)
Taiki Miyanishi, Fumiya Kitamori, Shuhei Kurita, Jungdae Lee, Motoaki Kawanabe, Nakamasa Inoue
CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud Data. CoRR (2023)
Risa Shinoda, Ryo Hayamizu, Kodai Nakashima, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka
SegRCDB: Semantic Segmentation via Formula-Driven Supervised Learning. CoRR (2023)
Keita Goto, Shinta Otake, Rei Kawakami, Nakamasa Inoue
Step restriction for improving adversarial attacks. ICASSP (2023)
Ryo Nakamura, Hirokatsu Kataoka, Sora Takashima, Edgar Josafat Martinez-Noriega, Rio Yokota, Nakamasa Inoue
Pre-training Vision Transformers with Very Limited Synthesized Images. CoRR (2023)
Sora Takashima, Ryo Hayamizu, Nakamasa Inoue, Hirokatsu Kataoka, Rio Yokota
Visual Atoms: Pre-training Vision Transformers with Sinusoidal Waves. CoRR (2023)
Shinta Otake, Rei Kawakami, Nakamasa Inoue
Parameter Efficient Transfer Learning for Various Speech Processing Tasks. ICASSP (2023)
Taiki Miyanishi, Fumiya Kitamori, Shuhei Kurita, Jungdae Lee, Motoaki Kawanabe, Nakamasa Inoue
CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud Data. NeurIPS (2023)
Sora Takashima, Ryo Hayamizu, Nakamasa Inoue, Hirokatsu Kataoka, Rio Yokota
Visual Atoms: Pre-Training Vision Transformers with Sinusoidal Waves. CVPR (2023)
Ryo Nakamura, Hirokatsu Kataoka, Sora Takashima, Edgar Josafat Martinez-Noriega, Rio Yokota, Nakamasa Inoue
Pre-training Vision Transformers with Very Limited Synthesized Images. ICCV (2023)
Lei Xu, Rei Kawakami, Nakamasa Inoue
Scale-space Tokenization for Improving the Robustness of Vision Transformers. ACM Multimedia (2023)
Tatsukichi Shibuya, Nakamasa Inoue, Rei Kawakami, Ikuro Sato
Fixed-Weight Difference Target Propagation. AAAI (2023)
Ruoyue Shen, Nakamasa Inoue, Koichi Shinoda
Text-Guided Object Detector for Multi-modal Video Question Answering. WACV (2023)
Ikuro Sato, Ryota Yamada, Masayuki Tanaka, Nakamasa Inoue, Rei Kawakami
PoF: Post-Training of Feature Extractor for Improving Generalization. CoRR (2022)
Tatsukichi Shibuya, Nakamasa Inoue, Rei Kawakami, Ikuro Sato
Fixed-Weight Difference Target Propagation. CoRR (2022)
Hirokatsu Kataoka, Kazushige Okayasu, Asato Matsumoto, Eisuke Yamagata, Ryosuke Yamada, Nakamasa Inoue, Akio Nakamura, Yutaka Satoh
Pre-Training Without Natural Images. Int. J. Comput. Vis. 130 (4) (2022)
Ikuro Sato, Ryota Yamada, Masayuki Tanaka, Nakamasa Inoue, Rei Kawakami
PoF: Post-Training of Feature Extractor for Improving Generalization. ICML (2022)
Kodai Nakashima, Hirokatsu Kataoka, Asato Matsumoto, Kenji Iwata, Nakamasa Inoue, Yutaka Satoh
Can Vision Transformers Learn without Natural Images? AAAI (2022)
Hirokatsu Kataoka, Ryo Hayamizu, Ryosuke Yamada, Kodai Nakashima, Sora Takashima, Xinyu Zhang, Edgar Josafat Martinez-Noriega, Nakamasa Inoue, Rio Yokota
Replacing Labeled Real-image Datasets with Auto-generated Contours. CoRR (2022)
Tomohiro Hayase, Suguru Yasutomi, Nakamasa Inoue
Downstream Augmentation Generation For Contrastive Learning. ICASSP (2022)
Hirokatsu Kataoka, Ryo Hayamizu, Ryosuke Yamada, Kodai Nakashima, Sora Takashima, Xinyu Zhang, Edgar Josafat Martinez-Noriega, Nakamasa Inoue, Rio Yokota
Replacing Labeled Real-image Datasets with Auto-generated Contours. CVPR (2022)
Hirokatsu Kataoka, Kensho Hara, Ryusuke Hayashi, Eisuke Yamagata, Nakamasa Inoue
Spatiotemporal Initialization for 3D CNNs with Generated Motion Patterns. WACV (2022)
Shinta Otake, Rei Kawakami, Nakamasa Inoue
Parameter Efficient Transfer Learning for Various Speech Processing Tasks. CoRR (2022)
Keita Goto, Nakamasa Inoue
Learning VAE with Categorical Labels for Generating Conditional Handwritten Characters. MVA (2021)
Hirokatsu Kataoka, Asato Matsumoto, Ryosuke Yamada, Yutaka Satoh, Eisuke Yamagata, Nakamasa Inoue
Formula-driven Supervised Learning with Recursive Tiling Patterns. ICCVW (2021)
Mariana Rodrigues Makiuchi, Tifani Warnita, Nakamasa Inoue, Koichi Shinoda, Michitaka Yoshimura, Momoko Kitazawa, Kei Funaki, Yoko Eguchi, Taishiro Kishimoto
Speech Paralinguistic Approach for Detecting Dementia Using Gated Convolutional Neural Network. IEICE Trans. Inf. Syst. (11) (2021)
Kodai Nakashima, Hirokatsu Kataoka, Asato Matsumoto, Kenji Iwata, Nakamasa Inoue
Can Vision Transformers Learn without Natural Images? CoRR (2021)
Nakamasa Inoue, Tsubasa Maruyama, Keita Goto
Augmentation-Agnostic Regularization for Unsupervised Contrastive Learning with Its Application to Speaker Verification. APSIPA ASC (2021)
Nakamasa Inoue
Teacher-Assisted Mini-Batch Sampling for Blind Distillation Using Metric Learning. ICASSP (2021)
Nakamasa Inoue, Ryota Yamada, Rei Kawakami, Ikuro Sato
Disentangling Latent Groups Of Factors. ICIP (2021)
Nakamasa Inoue, Eisuke Yamagata, Hirokatsu Kataoka
Initialization Using Perlin Noise for Training Networks with a Limited Amount of Data. CoRR (2021)
Hirokatsu Kataoka, Kazushige Okayasu, Asato Matsumoto, Eisuke Yamagata, Ryosuke Yamada, Nakamasa Inoue, Akio Nakamura, Yutaka Satoh
Pre-training without Natural Images. CoRR (2021)
Tifani Warnita, Mariana Rodrigues Makiuchi, Nakamasa Inoue, Koichi Shinoda, Michitaka Yoshimura, Momoko Kitazawa, Kei Funaki, Yoko Eguchi, Taishiro Kishimoto
Speech Paralinguistic Approach for Detecting Dementia Using Gated Convolutional Neural Network. CoRR (2020)
Yang Lu, Asri Rizki Yuliani, Keisuke Ishikawa, Ronaldo Prata Amorim, Roland Hartanto, Nakamasa Inoue, Kuniaki Uto, Koichi Shinoda
Deep Video Understanding of Character Relationships in Movies. ICMI Companion (2020)
Keita Goto, Nakamasa Inoue
Quasi-Newton Adversarial Attacks on Speaker Verification Systems. APSIPA (2020)
Ronaldo Prata Amorim, Nakamasa Inoue, Koichi Shinoda
Tokyo Tech at TRECVID 2020: Relation Modeling for Video Action Detection. TRECVID (2020)
Hirokatsu Kataoka, Kazushige Okayasu, Asato Matsumoto, Eisuke Yamagata, Ryosuke Yamada, Nakamasa Inoue, Akio Nakamura, Yutaka Satoh
Pre-training Without Natural Images. ACCV (6) (2020)
Takehiko Ohkawa, Naoto Inoue, Hirokatsu Kataoka, Nakamasa Inoue
Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Translation. ICPR (2020)
Nakamasa Inoue, Keita Goto
Closed-Form Pre-Training for Small-Sample Environmental Sound Recognition. APSIPA (2020)
Nakamasa Inoue, Keita Goto
Semi-Supervised Contrastive Learning with Generalized Contrastive Loss and Its Application to Speaker Recognition. APSIPA (2020)
Nakamasa Inoue, Keita Goto
Optimizing Speaker Embeddings using Meta-Training Sets. APSIPA (2020)
Takehiko Ohkawa, Naoto Inoue, Hirokatsu Kataoka, Nakamasa Inoue
Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Translation. CoRR (2020)
Nakamasa Inoue
Graph Grouping Loss for Metric Learning of Face Image Representations. VCIP (2020)
Nakamasa Inoue, Keita Goto
Semi-Supervised Contrastive Learning with Generalized Contrastive Loss and Its Application to Speaker Recognition. CoRR (2020)
Nakamasa Inoue, Eisuke Yamagata, Hirokatsu Kataoka
Initialization Using Perlin Noise for Training Networks with a Limited Amount of Data. ICPR (2020)
Raden Mu'az Mun'im, Nakamasa Inoue, Koichi Shinoda
Sequence-level Knowledge Distillation for Model Compression of Attention-based Sequence-to-sequence Speech Recognition. ICASSP (2019)
Raden Mu'az Mun'im, Nakamasa Inoue, Koichi Shinoda
Sequence-Level Knowledge Distillation for Model Compression of Attention-based Sequence-to-Sequence Speech Recognition. CoRR (2018)
Thao Le Minh, Nakamasa Inoue, Koichi Shinoda
A Fine-to-Coarse Convolutional Neural Network for 3D Human Action Recognition. BMVC (2018)
Tifani Warnita, Nakamasa Inoue, Koichi Shinoda
Detecting Alzheimer's Disease Using Gated Convolutional Neural Network from Audio Data. CoRR (2018)
Haoyi Zhang, Conggui Liu, Nakamasa Inoue, Koichi Shinoda
Multi-Task Autoencoder for Noise-Robust Speech Recognition. ICASSP (2018)
Jiacen Zhang, Nakamasa Inoue, Koichi Shinoda
I-vector Transformation Using Conditional Generative Adversarial Networks for Short Utterance Speaker Verification. INTERSPEECH (2018)
Nakamasa Inoue, Chihiro Shiraishi, Aleksandr Drozd, Koichi Shinoda, Shi-wook Lee, Alex ChiChung Kot
VANT at TRECVID 2018. TRECVID (2018)
Nakamasa Inoue, Koichi Shinoda
Few-Shot Adaptation for Multimedia Semantic Indexing. ACM Multimedia (2018)
Tifani Warnita, Nakamasa Inoue, Koichi Shinoda
Detecting Alzheimer's Disease Using Gated Convolutional Neural Network from Audio Data. INTERSPEECH (2018)
Nakamasa Inoue, Koichi Shinoda
Few-Shot Adaptation for Multimedia Semantic Indexing. CoRR (2018)
Thao Le Minh, Nakamasa Inoue, Koichi Shinoda
A Fine-to-Coarse Convolutional Neural Network for 3D Human Action Recognition. CoRR (2018)
Jiacen Zhang, Nakamasa Inoue, Koichi Shinoda
I-vector Transformation Using Conditional Generative Adversarial Networks for Short Utterance Speaker Verification. CoRR (2018)
Conggui Liu, Nakamasa Inoue, Koichi Shinoda
A unified network for multi-speaker speech recognition with multi-channel recordings. APSIPA (2017)
Shinya Matsui, Nakamasa Inoue, Yuko Akagi, Goshu Nagino, Koichi Shinoda
User adaptation of convolutional neural network for human activity recognition. EUSIPCO (2017)
Yuki Yasui, Nakamasa Inoue, Koji Iwano, Koichi Shinoda
Multimodal speech recognition using mouth images from depth camera. APSIPA (2017)
Tommi Kerola, Nakamasa Inoue, Koichi Shinoda
Cross-view human action recognition from depth maps using spectral graph sequences. Comput. Vis. Image Underst. 154 (2017)
Nakamasa Inoue, Ryosuke Yamamoto, Na Rong, Satoshi Kanai, Junsuke Masada, Chihiro Shiraishi, Shi-wook Lee, Koichi Shinoda
TokyoTech-AIST at TRECVID 2017: Multimedia Event Detection Using Deep CNNs and Zero-Shot Classiers. TRECVID (2017)
Mengxi Lin, Nakamasa Inoue, Koichi Shinoda
CTC Network with Statistical Language Modeling for Action Sequence Recognition in Videos. ACM Multimedia (Thematic Workshops) (2017)
Nakamasa Inoue, Ryosuke Yamamoto, Na Rong, Koichi Shinoda
TokyoTech at TRECVID 2016. TRECVID (2016)
Nakamasa Inoue, Koichi Shinoda
Adaptation of Word Vectors using Tree Structure for Visual Semantics. ACM Multimedia (2016)
Tommi Kerola, Nakamasa Inoue, Koichi Shinoda
Graph regularized implicit pose for 3D human action recognition. APSIPA (2016)
Fumito Nishi, Nakamasa Inoue, Koji Iwano, Koichi Shinoda
Tokyo Tech at MediaEval 2016 Multimodal Person Discovery in Broadcast TV task. MediaEval (2016)
Nakamasa Inoue, Koichi Shinoda
Fast Coding of Feature Vectors Using Neighbor-to-Neighbor Search. IEEE Trans. Pattern Anal. Mach. Intell. 38 (6) (2016)
Nakamasa Inoue, Koichi Shinoda
Vocabulary Expansion Using Word Vectors for Video Semantic Indexing. ACM Multimedia (2015)
Fumito Nishi, Nakamasa Inoue, Koichi Shinoda
Combining Audio Features and Visual I-Vector @ MediaEval 2015 Multimodal Person Discovery in Broadcast TV. MediaEval (2015)
Nakamasa Inoue, Hai Dang Tran, Ryosuke Yamamoto, Koichi Shinoda
TokyoTech at TRECVID 2015. TRECVID (2015)
Nakamasa Inoue, Zhuolin Liang, Mengxi Lin, Hai Dang Tran, Koichi Shinoda, Xuefeng Zhang, Kazuya Ueki
TokyoTech-Waseda at TRECVID 2014. TRECVID (2014)
Tommi Kerola, Nakamasa Inoue, Koichi Shinoda
Spectral Graph Skeletons for 3D Action Recognition. ACCV (4) (2014)
Zhuolin Liang, Nakamasa Inoue, Koichi Shinoda
Event Detection by Velocity Pyramid. MMM (1) (2014)
Nakamasa Inoue, Koichi Shinoda
n-gram Models for Video Semantic Indexing. ACM Multimedia (2014)
Nakamasa Inoue, Koichi Shinoda
q-Gaussian mixture models for image and video semantic indexing. J. Vis. Commun. Image Represent. 24 (8) (2013)
Nakamasa Inoue, Kotaro Mori, Zhuolin Liang, Mengxi Lin, Koichi Shinoda, Shunsuke Sato
TokyoTechCanon at TRECVID 2013. TRECVID (2013)
Nakamasa Inoue, Koichi Shinoda
Neighbor-to-Neighbor Search for Fast Coding of Feature Vectors. ICCV (2013)
Yusuke Kamishima, Nakamasa Inoue, Koichi Shinoda
Event detection in consumer videos using GMM supervectors and SVMs. EURASIP J. Image Video Process. 2013 (2013)
Koichi Shinoda, Nakamasa Inoue
Reusing Speech Techniques for Video Semantic Indexing [Applications Corner]. IEEE Signal Process. Mag. 30 (2) (2013)
Nakamasa Inoue, Yusuke Kamishima, Kotaro Mori, Koichi Shinoda
TokyoTechCanon at TRECVID 2012. TRECVID (2012)
Nakamasa Inoue, Koichi Shinoda
q-Gaussian Mixture Models Based on Non-extensive Statistics for Image and Video Semantic Indexing. ACCV (2) (2012)
Nakamasa Inoue, Koichi Shinoda
A Fast and Accurate Video Semantic-Indexing System Using Fast MAP Adaptation and GMM Supervectors. IEEE Trans. Multim. 14 (4) (2012)
Yusuke Kamishima, Nakamasa Inoue, Koichi Shinoda, Shunsuke Sato
Multimedia event detection using GMM supervectors and SVMS. ICIP (2012)
Nakamasa Inoue, Koichi Shinoda
A fast MAP adaptation technique for gmm-supervector-based video semantic indexing systems. ACM Multimedia (2011)
Nakamasa Inoue, Toshiya Wada, Yusuke Kamishima, Koichi Shinoda, Shunsuke Sato
TokyoTech+Canon at TRECVID 2011. TRECVID (2011)
Nakamasa Inoue, Toshiya Wada, Yusuke Kamishima, Koichi Shinoda, Ilseo Kim, Byungki Byun, Chin-Hui Lee
TT+GT at TRECVID 2010 Workshop. TRECVID (2010)
Nakamasa Inoue, Tatsuhiko Saito, Koichi Shinoda, Sadaoki Furui
High-Level Feature Extraction Using SIFT GMMs and Audio Models. ICPR (2010)
Nakamasa Inoue, Shanshan Hao, Tatsuhiko Saito, Koichi Shinoda, Ilseo Kim, Chin-Hui Lee
TITGT at TRECVID 2009 Workshop. TRECVID (2009)