Publications

International Journal & Conference

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",
Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM), 2019.
(Acceptance rate 19.4%.)

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, Volume 365, Pages 31-43, 2019. pdf

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",
The International Conference on 3D Vision (3DV), 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",
The 16th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistic (CIBB), 2019.

Raphael Shu, Hideki Nakayama, Kyunghyun Cho
"Generating Diverse Translations with Sentence Codes",
The 56th Annual Meeting of the Association for Computational Linguistics (ACL), 2019. (to appear) pdf
(Acceptance rate 22.7%.)

Ryuichiro Hataya, Hideki Nakayama,
"LOL: Learning to Optimize Loss Switching Under Label Noise",
Proceedings of the 26th IEEE International Conference on Image Processing (ICIP), 2019. (to appear)

Yuhao Xu, Hideki Nakayama,
"DCT Based Information-Preserving Pooling for Deep Neural Networks",
Proceedings of the 26th IEEE International Conference on Image Processing (ICIP), 2019. (to appear)

Rui Yang, Hideki Nakayama,
"Bipolar GAN: Double Check the Solution Space and Lighten False Positive Errors in Generative Adversarial Nets",
Proceedings of the 26th IEEE International Conference on Image Processing (ICIP), 2019. (to appear)

Ryuichiro Hataya, Hideki Nakayama,
"Unifying Semi-Supervised and Robust Learning by Mixup",
Proceedings of the 2nd Learning from Limited Labeled Data (LLD) Workshop, ICLR, 2019. pdf

Jiali Yao, Raphael Shu, Xinjian Li, Katsutoshi Ohtsuki, Hideki Nakayama,
"Enabling Real-time Neural IME with Incremental Vocabulary Selection",
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT) (industry track), 2019. pdf

Hiroki Takushima, Akihiro Tamura, Takashi Ninomiya, Hideki Nakayama,
"Multimodal Neural Machine Translation Using CNN and Transformer Encoder",
Proceedings of the 20th International Conference on Computational Linguistics and Intelligent Text Processing (CICLing), 2019. pdf

Hong Chen, Yifei Huang, Hideki Nakayama,
"Semantic Aware Attention Based Deep Object Co-segmentation",
Proceedings of the 14th Asian Conference on Computer Vision (ACCV), 2018. pdf

Diep Thi Ngoc Nguyen,Hideki Nakayama,Naoaki Okazaki,Tatsuya Sakaeda,
"PoB: Toward Reasoning Patterns of Beauty in Image Data",
Proceedings of the ACM Multimedia Conference on Multimedia Conference (MM), 2018. pdf
(Acceptance rate 27.6%.)

Raphael Shu and Hideki Nakayama,
"Improving Beam Search by Removing Monotonic Constraint for Neural Machine Translation",
The 56th Annual Meeting of the Association for Computational Linguistics (ACL), 2018. pdf
(Acceptance rate 24.0%.)

Noriki Nishida and Hideki Nakayama,
"Coherence Modeling Improves Implicit Discourse Relation Recognition",
The 19th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL), 2018. pdf

Masaya Abe and Hideki Nakayama,
"Deep Learning for Forecasting Stock Returns in the Cross-Section",
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2018. pdf
(Acceptance rate 27.7%.)

Raphael Shu and Hideki Nakayama,
"Compressing Word Embeddings via Deep Compositional Code Learning",
International Conference on Learning Representations (ICLR), 2018. pdf

Changhee Han, Hideaki Hayashi, Leonardo Rundo, Ryosuke Araki, Wataru Shimoda,Shinichi Muramatsu, Yujiro Furukawa, Giancarlo Mauri, and Hideki Nakayama,
"GAN-based Synthetic Brain MR Image Generation",
IEEE International Symposium on Biomedical Imaging (ISBI), 2018. pdf

Masashi Yokota and Hideki Nakayama,
"Augmenting Image Question Answering Dataset by Exploiting Image Captions",
International Conference on Language Resources and Evaluation (LREC), 2018. pdf

Natsuda Laokulrat, Naoaki Okazaki, and Hideki Nakayama,
"Incorporating Semantic Attention in Video Description Generation",
International Conference on Language Resources and Evaluation (LREC), 2018. pdf

Kento Masui, Akiyoshi Ochiai, Shintaro Yoshizawa, Hideki Nakayama,
"Recurrent Visual Relationship Recognition with Triplet Unit",
IEEE International Symposium on Multimedia (ISM), 2017. pdf

Noriki Nishida, Hideki Nakayama,
"Word Ordering as Unsupervised Learning Towards Syntactically Plausible Word Representations",
International Joint Conference on Natural Language Processing (IJCNLP), 2017.  pdf

Jan Zdenek, Hideki Nakayama
"Bag of Local Convolutional Triplets for Script Identification in Scene Text",
International Conference on Document Analysis and Recognition (ICDAR), 2017. pdf

Hideki Nakayama, Noriki Nishida
"Zero-resource machine translation by multimodal encoder-decoder network with multimedia pivot",
Machine Translation Journal, 2017. link

Raphael Shu, Hideki Nakayama
"An Empirical Study of Adequate Vision Span for Attention-Based Neural Machine Translation",
ACL Workshop on Neural Machine Translation, 2017. pdf
(Outstanding paper award)

Natsuda Laokulrat(AIST-AIRC), Sang Phan(NII), Noriki Nishida, Raphael Shu, Yo Ehara(AIST-AIRC), Naoaki Okazaki(Tohoku Univ,AIST-AIRC), Yusuke Miyao(NII,AIST-AIRC), Shin'ichi Satoh(NII), Hideki Nakayama,
"Generating Video Description using Sequence-to-sequence Model with Temporal Attention",
International Conference on Computational Linguistics (COLING), 2016. pdf
(Acceptance rate 32.4%.)

Jiren Jin, Hideki Nakayama,
"Annotation Order Matters: Recurrent Image Annotator for Arbitrary Length Image Tagging",
International Conference on Pattern Recognition (ICPR), 2016. pdf Demo

Hideki Nakayama, Tomoya Tsuda,
"Efficient two-step middle-level part feature extraction for fine-grained visual categorization",
IEICE Transactions on Information and Systems,Vol.E99-D, pp.1626-1634, 2016. pdf

Kohei Yamamoto, Hayato Kobayashi(Yahoo!JAPAN), Yukihiro Tagami(Yahoo!JAPAN), Hideki Nakayama,
"Multimodal content-aware image thumbnaling",
ACM International Conference on World Wide Web (WWW) (Companion Volume), pp.129-130, 2016.  pdf

Noriki Nishida, Hideki Nakayama,
"Multimodal gesture recognition using multi-stream recurrent neural network",
Pacific-Rim Symposium on Image and Video Technology (PSIVT), 2015.  pdf

Ruka Funaki, Hideki Nakayama,
"Image-mediated learning for zero-shot cross-lingual document retrieval",
Empirical Methods in Natural Language Processing (EMNLP), 2015.  pdf
(Short paper, acceptance rate 23.7%.)

Takanori Tamanaha, Hideki Nakayama,
"Unsupervised cosegmentation based on global graph matching",
ACM International Conference on Multimedia, 2015.  pdf
(Short paper, acceptance rate 30.3%.)

Masaya Okamoto, Hideki Nakayama,
"Unsupervised visual domain adaptation using auxiliary information in target domain",
IEEE International Symposium on Multimedia (ISM), 2014. pdf

Kohei Yamamoto, Riku Togashi, Hideki Nakayama,
"Content-based viewer estimation using image features for recommendation of video clips",
ACM RecSys 2014 Workshop on RecSysTV, 2014. pdf

Hideki Nakayama,
"Efficient discriminative convolution using Fisher weight map",
British Machine Vision Conference (BMVC), 2013. pdf abstract
(Acceptance rate 30%.)

Hideki Nakayama,
"Augmenting descriptors for fine-grained visual categorization using polynomial embedding",
IEEE International Conference on Multimedia & Expo (ICME), 2013. pdf
(Oral, 12.7%.) 

Hideki Nakayama,
"Aggregating descriptors with local Gaussian metrics",
NIPS 2012 Workshop on Large Scale Visual Recognition and Retrieval, 2012. pdf

Reviewed Domestic Conference

Hideki Nakayama,
"Stacked local autocorrelation features",
Meeting on Image Recognition and Understanding (MIRU), 2014. pdf

Others (Reports, Preprints)

Noriki Nishida, Jan Zdenek, Hideki Nakayama,
"Object Detection from Video with Nested Recurrent Neural Networks",
ImageNet Large-Scale Visual Recognition Challenge (ILSVRC) Video Object Detection Task, 2015. poster

Hideki Nakayama,
"NLab-UTokyo at ImageCLEF 2013 Plant Identifitication Task",
CLEF 2013 Working Notes, 2013. pdf
Got the 1st place in NaturalBackground Task

Hideki Nakayama, Masaya Okamoto, Tomoya Tsuda, Hiroki Miyatani, and Kohei Yamamoto,
Fine-grained challenge 2013 (in conjunction with ImageNet large-scale visual recognition challenge).
Classification results of testing images.

Book Chapter

  • 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", Smart Innovation, System and Technologies, Springer, 2018. Also presented at The Italian Workshop on Neural Networks (WIRN, Peer-reviewed).
  • 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", Smart Innovation, System and Technologies, Springer, 2018. Also presented at The Italian Workshop on Neural Networks (WIRN, Peer-reviewed).