Hideki Nakayama

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 136

Top Venues

Publications

Taiga Kashima, Ikki Kishida, Ayako Amma, Hideki Nakayama
FedFit: Server Aggregation Through Linear Regression in Federated Learning. IEEE Access 12 (2024)
Yi-Pei Chen, Noriki Nishida, Hideki Nakayama, Yuji Matsumoto
Recent Trends in Personalized Dialogue Generation: A Review of Datasets, Methodologies, and Evaluations. LREC/COLING (2024)
Yi-Pei Chen, Kuanchao Chu, Hideki Nakayama
LLM as a Scorer: The Impact of Output Order on Dialogue Evaluation. CoRR (2024)
Yi-Pei Chen, Noriki Nishida, Hideki Nakayama, Yuji Matsumoto
Recent Trends in Personalized Dialogue Generation: A Review of Datasets, Methodologies, and Evaluations. CoRR (2024)
Kai Katsumata, Duc Minh Vo, Hideki Nakayama
Label Augmentation as Inter-class Data Augmentation for Conditional Image Synthesis with Imbalanced Data. WACV (2024)
Kuanchao Chu, Satoshi Yamazaki, Hideki Nakayama
Enhanced Data Transfer Cooperating with Artificial Triplets for Scene Graph Generation. CoRR (2024)
Julian Jorge Andrade Guerreiro, Naoto Inoue, Kento Masui, Mayu Otani, Hideki Nakayama
LayoutFlow: Flow Matching for Layout Generation. CoRR (2024)
Kuanchao Chu, Yi-Pei Chen, Hideki Nakayama
A Better LLM Evaluator for Text Generation: The Impact of Prompt Output Sequencing and Optimization. CoRR (2024)
Kai Katsumata, Duc Minh Vo, Tatsuya Harada, Hideki Nakayama
Soft Curriculum for Learning Conditional GANs with Noisy-Labeled and Uncurated Unlabeled Data. WACV (2024)
Kai Katsumata, Duc Minh Vo, Bei Liu, Hideki Nakayama
Revisiting Latent Space of GAN Inversion for Robust Real Image Editing. WACV (2024)
Kuanchao Chu, Yi-Pei Chen, Hideki Nakayama
Cohesive Conversations: Enhancing Authenticity in Multi-Agent Simulated Dialogues. CoRR (2024)
Jan Zdenek, Hideki Nakayama
Handwritten Text Generation with Character-Specific Encoding for Style Imitation. ICDAR (2) (2023)
Erica Kido Shimomoto, Edison Marrese-Taylor, Hiroya Takamura, Ichiro Kobayashi, Hideki Nakayama, Yusuke Miyao
Towards Parameter-Efficient Integration of Pre-Trained Language Models In Temporal Video Grounding. ACL (Findings) (2023)
Rui Yang, Duc Minh Vo, Hideki Nakayama
Indirect Adversarial Losses via an Intermediate Distribution for Training GANs. WACV (2023)
Kuanchao Chu, Hideki Nakayama
Two-Path Object Knowledge Injection for Detecting Novel Objects With Single-Stage Dense Detector. IEICE Trans. Inf. Syst. 106 (11) (2023)
Duc Minh Vo, Quoc-An Luong, Akihiro Sugimoto, Hideki Nakayama
A-CAP: Anticipation Captioning with Commonsense Knowledge. CVPR (2023)
Kai Katsumata, Duc Minh Vo, Tatsuya Harada, Hideki Nakayama
Soft Curriculum for Learning Conditional GANs with Noisy-Labeled and Uncurated Unlabeled Data. CoRR (2023)
Jiaxuan Li, Duc Minh Vo, Hideki Nakayama
Partition-and-Debias: Agnostic Biases Mitigation via A Mixture of Biases-Specific Experts. ICCV (2023)
Kai Katsumata, Duc Minh Vo, Bei Liu, Hideki Nakayama
Revisiting Latent Space of GAN Inversion for Real Image Editing. CoRR (2023)
Duc Minh Vo, Quoc-An Luong, Akihiro Sugimoto, Hideki Nakayama
A-CAP: Anticipation Captioning with Commonsense Knowledge. CoRR (2023)
Yi-Pei Chen, An-Zi Yen, Hen-Hsen Huang, Hideki Nakayama, Hsin-Hsi Chen
LED: A Dataset for Life Event Extraction from Dialogs. CoRR (2023)
Kai Katsumata, Duc Minh Vo, Hideki Nakayama
An Efficient 3D Gaussian Representation for Monocular/Multi-view Dynamic Scenes. CoRR (2023)
Kai Katsumata, Duc Minh Vo, Bei Liu, Hideki Nakayama
Balancing Reconstruction and Editing Quality of GAN Inversion for Real Image Editing with StyleGAN Prior Latent Space. CoRR (2023)
Jiaxuan Li, Duc Minh Vo, Akihiro Sugimoto, Hideki Nakayama
EVCap: Retrieval-Augmented Image Captioning with External Visual-Name Memory for Open-World Comprehension. CoRR (2023)
Yi-Pei Chen, An-Zi Yen, Hen-Hsen Huang, Hideki Nakayama, Hsin-Hsi Chen
LED: A Dataset for Life Event Extraction from Dialogs. EACL (Findings) (2023)
Jiaxuan Li, Duc Minh Vo, Hideki Nakayama
Partition-and-Debias: Agnostic Biases Mitigation via A Mixture of Biases-Specific Experts. CoRR (2023)
Hisashi Kamezawa, Noriki Nishida, Nobuyuki Shimizu, Takashi Miyazaki, Hideki Nakayama
RNSum: A Large-Scale Dataset for Automatic Release Note Generation via Commit Logs Summarization. ACL (1) (2022)
Hong Chen, Duc Minh Vo, Hiroya Takamura, Yusuke Miyao, Hideki Nakayama
StoryER: Automatic Story Evaluation via Ranking, Rating and Reasoning. CoRR (2022)
Ikki Kishida, Hideki Nakayama
Pixel to Binary Embedding Towards Robustness for CNNs. CoRR (2022)
Duc Minh Vo, Akihiro Sugimoto, Hideki Nakayama
PPCD-GAN: Progressive Pruning and Class-Aware Distillation for Large-Scale Conditional GANs Compression. CoRR (2022)
Yi-Pei Chen, Nobuyuki Shimizu, Takashi Miyazaki, Hideki Nakayama
How do people talk about images? A study on open-domain conversations with images. NAACL-HLT (Student Research Workshop) (2022)
Hong Chen, Rujun Han, Te-Lin Wu, Hideki Nakayama, Nanyun Peng
Character-centric Story Visualization via Visual Planning and Token Alignment. EMNLP (2022)
Yuxuan Wu, Hideki Nakayama
Weakly Supervised Formula Learner for Solving Mathematical Problems. COLING (2022)
Duc Minh Vo, Akihiro Sugimoto, Hideki Nakayama
PPCD-GAN: Progressive Pruning and Class-Aware Distillation for Large-Scale Conditional GANs Compression. WACV (2022)
Duc Minh Vo, Hong Chen, Akihiro Sugimoto, Hideki Nakayama
NOC-REK: Novel Object Captioning with Retrieved Vocabulary from External Knowledge. CoRR (2022)
Kai Katsumata, Duc Minh Vo, Hideki Nakayama
OSSGAN: Open-Set Semi-Supervised Image Generation. CVPR (2022)
Jun Takeuchi, Noriki Nishida, Hideki Nakayama
Neural Networks in a Product of Hyperbolic Spaces. NAACL-HLT (Student Research Workshop) (2022)
Rui Yang, Duc Minh Vo, Hideki Nakayama
Stochastically Flipping Labels of Discriminator's Outputs for Training Generative Adversarial Networks. IEEE Access 10 (2022)
Ryuichiro Hataya, Hideki Nakayama
DJMix: Unsupervised Task-agnostic Image Augmentation for Improving Robustness of Convolutional Neural Networks. IJCNN (2022)
Hong Chen, Duc Minh Vo, Hiroya Takamura, Yusuke Miyao, Hideki Nakayama
StoryER: Automatic Story Evaluation via Ranking, Rating and Reasoning. EMNLP (2022)
Kai Katsumata, Duc Minh Vo, Hideki Nakayama
OSSGAN: Open-Set Semi-Supervised Image Generation. CoRR (2022)
Rui Yang, Raphael Shu, Hideki Nakayama
Improving Noised Gradient Penalty with Synchronized Activation Function for Generative Adversarial Networks. IEICE Trans. Inf. Syst. (9) (2022)
Ikki Kishida, Hideki Nakayama
Pixel to Binary Embedding Towards Robustness for CNNs. ICPR (2022)
Hong Chen, Rujun Han, Te-Lin Wu, Hideki Nakayama, Nanyun Peng
Character-Centric Story Visualization via Visual Planning and Token Alignment. CoRR (2022)
Duc Minh Vo, Hong Chen, Akihiro Sugimoto, Hideki Nakayama
NOC-REK: Novel Object Captioning with Retrieved Vocabulary from External Knowledge. CVPR (2022)
Erica K. Shimomoto, Edison Marrese-Taylor, Hiroya Takamura, Ichiro Kobayashi, Hideki Nakayama, Yusuke Miyao
Towards Parameter-Efficient Integration of Pre-Trained Language Models In Temporal Video Grounding. CoRR (2022)
Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, Hideki Nakayama
Meta Approach to Data Augmentation Optimization. WACV (2022)
Ikki Kishida, Hong Chen, Masaki Baba, Jiren Jin, Ayako Amma, Hideki Nakayama
Object Recognition with Continual Open Set Domain Adaptation for Home Robot. WACV (2021)
Changhee Han, Leonardo Rundo, Kohei Murao, Tomoyuki Noguchi, Yuki Shimahara, Zoltán Ádám Milacski, Saori Koshino, Evis Sala, Hideki Nakayama, Shin'ichi Satoh
MADGAN: unsupervised medical anomaly detection GAN using multiple adjacent brain MRI slice reconstruction. BMC Bioinform. (2) (2021)
Hong Chen, Hiroya Takamura, Hideki Nakayama
SciXGen: A Scientific Paper Dataset for Context-Aware Text Generation. EMNLP (Findings) (2021)
Hong Chen, Raphael Shu, Hiroya Takamura, Hideki Nakayama
GraphPlan: Story Generation by Planning with Event Graph. INLG (2021)
Hong Chen, Hiroya Takamura, Hideki Nakayama
SciXGen: A Scientific Paper Dataset for Context-Aware Text Generation. CoRR (2021)
Toshiaki Nakazawa, Hideki Nakayama, Chenchen Ding, Raj Dabre, Shohei Higashiyama, Hideya Mino, Isao Goto, Win Pa Pa, Anoop Kunchukuttan, Shantipriya Parida, Ondrej Bojar, Chenhui Chu, Akiko Eriguchi, Kaori Abe, Yusuke Oda, Sadao Kurohashi
Overview of the 8th Workshop on Asian Translation. WAT@ACL/IJCNLP (2021)
Hong Chen, Raphael Shu, Hiroya Takamura, Hideki Nakayama
GraphPlan: Story Generation by Planning with Event Graph. CoRR (2021)
Hong Chen, Yifei Huang, Hiroya Takamura, Hideki Nakayama
Commonsense Knowledge Aware Concept Selection For Diverse and Informative Visual Storytelling. AAAI (2021)
Kai Katsumata, Hideki Nakayama
Semantic Image Synthesis from Inaccurate and Coarse Masks. ICASSP (2021)
Hong Chen, Yifei Huang, Hiroya Takamura, Hideki Nakayama
Commonsense Knowledge Aware Concept Selection For Diverse and Informative Visual Storytelling. CoRR (2021)
Shisheng Wang, Hideki Nakayama
Stochastic Observation Prediction for Efficient Reinforcement Learning in Robotics. MIPR (2021)
Jan Zdenek, Hideki Nakayama
JokerGAN: Memory-Efficient Model for Handwritten Text Generation with Text Line Awareness. ACM Multimedia (2021)
Kai Katsumata, Ikki Kishida, Ayako Amma, Hideki Nakayama
Open-Set Domain Generalization VIA Metric Learning. ICIP (2021)
Taiga Kashima, Ryuichiro Hataya, Hideki Nakayama
Visualizing Association in Exemplar-Based Classification. ICASSP (2021)
Ryuichiro Hataya, Hideki Nakayama, Kazuki Yoshizoe
Graph Energy-based Model for Substructure Preserving Molecular Design. CoRR (2021)
Yuhao Xu, Hideki Nakayama
DCT-based Fast Spectral Convolution for Deep Convolutional Neural Networks. IJCNN (2021)
Changhee Han, Leonardo Rundo, Kohei Murao, Tomoyuki Noguchi, Yuki Shimahara, Zoltán Ádám Milacski, Saori Koshino, Evis Sala, Hideki Nakayama, Shin'ichi Satoh
MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction. CoRR (2020)
Taiga Kashima, Kento Masui, Hideki Nakayama
Unsupervised Visual Relationship Inference. ICIP (2020)
Toshiaki Nakazawa, Hideki Nakayama, Chenchen Ding, Raj Dabre, Shohei Higashiyama, Hideya Mino, Isao Goto, Win Pa Pa, Anoop Kunchukuttan, Shantipriya Parida, Ondrej Bojar, Sadao Kurohashi
Overview of the 7th Workshop on Asian Translation. WAT@AAC/IJCNLPL (2020)
Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, Hideki Nakayama
Faster AutoAugment: Learning Augmentation Strategies Using Backpropagation. ECCV (25) (2020)
Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, Hideki Nakayama
Meta Approach to Data Augmentation Optimization. CoRR (2020)
Raphael Shu, Jason Lee, Hideki Nakayama, Kyunghyun Cho
Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior. AAAI (2020)
Ryosuke Kuwabara, Jun Suzuki, Hideki Nakayama
Single Model Ensemble using Pseudo-Tags and Distinct Vectors. ACL (2020)
Yuxuan Wu, Hideki Nakayama
Graph-based Heuristic Search for Module Selection Procedure in Neural Module Network. CoRR (2020)
Hisashi Kamezawa, Noriki Nishida, Nobuyuki Shimizu, Takashi Miyazaki, Hideki Nakayama
A Visually-grounded First-person Dialogue Dataset with Verbal and Non-verbal Responses. EMNLP (1) (2020)
Jan Zdenek, Hideki Nakayama
Erasing Scene Text with Weak Supervision. WACV (2020)
Tetsuro Nishihara, Akihiro Tamura, Takashi Ninomiya, Yutaro Omote, Hideki Nakayama
Supervised Visual Attention for Multimodal Neural Machine Translation. COLING (2020)
Changhee Han, Leonardo Rundo, Kohei Murao, Takafumi Nemoto, Hideki Nakayama
Bridging the gap between AI and Healthcare sides: towards developing clinically relevant AI-powered diagnosis systems. CoRR (2020)
Yuxuan Wu, Hideki Nakayama
Graph-Based Heuristic Search for Module Selection Procedure in Neural Module Network. ACCV (3) (2020)
Hideki Nakayama, Akihiro Tamura, Takashi Ninomiya
A Visually-Grounded Parallel Corpus with Phrase-to-Region Linking. LREC (2020)
Takumi Ohkuma, Hideki Nakayama
Efficient Base Class Selection Algorithms for Few-Shot Classification. ICMR (2020)
Noriki Nishida, Hideki Nakayama
Unsupervised Discourse Constituency Parsing Using Viterbi EM. Trans. Assoc. Comput. Linguistics 8 (2020)
Changhee Han, Leonardo Rundo, Kohei Murao, Takafumi Nemoto, Hideki Nakayama
Bridging the Gap Between AI and Healthcare Sides: Towards Developing Clinically Relevant AI-Powered Diagnosis Systems. AIAI (2) (2020)
Ryosuke Kuwabara, Jun Suzuki, Hideki Nakayama
Single Model Ensemble using Pseudo-Tags and Distinct Vectors. CoRR (2020)
Changhee Han, Kohei Murao, Tomoyuki Noguchi, Yusuke Kawata, Fumiya Uchiyama, Leonardo Rundo, Hideki Nakayama, Shin'ichi Satoh
Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR images. CoRR (2019)
Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, Hideki Nakayama
Faster AutoAugment: Learning Augmentation Strategies using Backpropagation. CoRR (2019)
Changhee Han, Yoshiro Kitamura, Akira Kudo, Akimichi Ichinose, Leonardo Rundo, Yujiro Furukawa, Kazuki Umemoto, Hideki Nakayama, Yuanzhong Li
Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-based CT Image Augmentation for Object Detection. CoRR (2019)
Ikki Kishida, Hideki Nakayama
Empirical Study of Easy and Hard Examples in CNN Training. CoRR (2019)
Rui Yang, Hideki Nakayama
Bipolar Gan: Double Check the Solution Space and Lighten False Positive Errors in Generative Adversarial Nets. ICIP (2019)
Changhee Han, Leonardo Rundo, Ryosuke Araki, Yudai Nagano, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama, Hideaki Hayashi
Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection. CoRR (2019)
Raphael Shu, Jason Lee, Hideki Nakayama, Kyunghyun Cho
Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference using a Delta Posterior. CoRR (2019)
Changhee Han, Leonardo Rundo, Kohei Murao, Zoltán Ádám Milacski, Kazuki Umemoto, Hideki Nakayama, Shin'ichi Satoh
GAN-based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis. CoRR (2019)
Leonardo Rundo, Changhee Han, Jin Zhang, Ryuichiro Hataya, Yudai Nagano, Carmelo Militello, Claudio Ferretti, Marco S. Nobile, Andrea Tangherloni, Maria Carla Gilardi, Salvatore Vitabile, Hideki Nakayama, Giancarlo Mauri
CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study. CoRR (2019)
Changhee Han, Yoshiro Kitamura, Akira Kudo, Akimichi Ichinose, Leonardo Rundo, Yujiro Furukawa, Kazuki Umemoto, Yuanzhong Li, Hideki Nakayama
Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-Based CT Image Augmentation for Object Detection. 3DV (2019)
Ryuichiro Hataya, Hideki Nakayama
LOL: Learning To Optimize Loss Switching Under Label Noise. ICIP (2019)
Changhee Han, Leonardo Rundo, Ryosuke Araki, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama, Hideaki Hayashi
Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor Detection. CoRR (2019)
Leonardo Rundo, Changhee Han, Yudai Nagano, Jin Zhang, Ryuichiro Hataya, Carmelo Militello, Andrea Tangherloni, Marco S. Nobile, Claudio Ferretti, Daniela Besozzi, Maria Carla Gilardi, Salvatore Vitabile, Giancarlo Mauri, Hideki Nakayama, Paolo Cazzaniga
USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets. CoRR (2019)
Jiali Yao, Raphael Shu, Xinjian Li, Katsutoshi Ohtsuki, Hideki Nakayama
Enabling Real-time Neural IME with Incremental Vocabulary Selection. NAACL-HLT (2) (2019)
Changhee Han, Kohei Murao, Tomoyuki Noguchi, Yusuke Kawata, Fumiya Uchiyama, Leonardo Rundo, Hideki Nakayama, Shin'ichi Satoh
Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR Images. CIKM (2019)
Changhee Han, Leonardo Rundo, Kohei Murao, Zoltán Ádám Milacski, Kazuki Umemoto, Evis Sala, Hideki Nakayama, Shin'ichi Satoh
GAN-Based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis. CIBB (2019)
Changhee Han, Kohei Murao, Shin'ichi Satoh, Hideki Nakayama
Learning More with Less: GAN-based Medical Image Augmentation. CoRR (2019)
Changhee Han, Leonardo Rundo, Ryosuke Araki, Yudai Nagano, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama, Hideaki Hayashi
Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection. IEEE Access 7 (2019)
Leonardo Rundo, Changhee Han, Yudai Nagano, Jin Zhang, Ryuichiro Hataya, Carmelo Militello, Andrea Tangherloni, Marco S. Nobile, Claudio Ferretti, Daniela Besozzi, Maria Carla Gilardi, Salvatore Vitabile, Giancarlo Mauri, Hideki Nakayama, Paolo Cazzaniga
USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets. Neurocomputing 365 (2019)

Hideki Nakayama.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Hideki Nakayama