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2020 – today
- 2024
[j15]Taiga Kashima
, Ikki Kishida, Ayako Amma, Hideki Nakayama:
FedFit: Server Aggregation Through Linear Regression in Federated Learning. IEEE Access 12: 22803-22812 (2024)- [j14]Yuxuan Wu, Hideki Nakayama:
MILE: Memory-Interactive Learning Engine for Neuro-Symbolic Solutions to Mathematical Problems. IEEE Access 12: 134355-134365 (2024) - [j13]Kuanchao Chu, Satoshi Yamazaki, Hideki Nakayama:
Enhanced Data Transfer Cooperating with Artificial Triplets for Scene Graph Generation. IEICE Trans. Inf. Syst. 107(9): 1239-1252 (2024) - [c93]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: 13650-13665 - [c92]Jiaxuan Li, Duc Minh Vo, Akihiro Sugimoto, Hideki Nakayama:
Evcap: Retrieval-Augmented Image Captioning with External Visual-Name Memory for Open-World Comprehension. CVPR 2024: 13733-13742 - [c91]Julian Jorge Andrade Guerreiro, Naoto Inoue, Kento Masui, Mayu Otani, Hideki Nakayama:
LayoutFlow: Flow Matching for Layout Generation. ECCV (36) 2024: 56-72 - [c90]Kai Katsumata, Duc Minh Vo, Hideki Nakayama:
A Compact Dynamic 3D Gaussian Representation for Real-Time Dynamic View Synthesis. ECCV (86) 2024: 394-412 - [c89]Kai Katsumata, Duc Minh Vo, Hideki Nakayama:
Label Augmentation as Inter-class Data Augmentation for Conditional Image Synthesis with Imbalanced Data. WACV 2024: 4932-4941 - [c88]Kai Katsumata, Duc Minh Vo, Bei Liu, Hideki Nakayama:
Revisiting Latent Space of GAN Inversion for Robust Real Image Editing. WACV 2024: 5301-5310 - [c87]Kai Katsumata, Duc Minh Vo, Tatsuya Harada, Hideki Nakayama:
Soft Curriculum for Learning Conditional GANs with Noisy-Labeled and Uncurated Unlabeled Data. WACV 2024: 5311-5320 - [i55]Julian Jorge Andrade Guerreiro, Naoto Inoue, Kento Masui, Mayu Otani, Hideki Nakayama:
LayoutFlow: Flow Matching for Layout Generation. CoRR abs/2403.18187 (2024) - [i54]Yi-Pei Chen, Noriki Nishida, Hideki Nakayama, Yuji Matsumoto:
Recent Trends in Personalized Dialogue Generation: A Review of Datasets, Methodologies, and Evaluations. CoRR abs/2405.17974 (2024) - [i53]Yi-Pei Chen, Kuanchao Chu, Hideki Nakayama:
LLM as a Scorer: The Impact of Output Order on Dialogue Evaluation. CoRR abs/2406.02863 (2024) - [i52]Kuanchao Chu, Yi-Pei Chen, Hideki Nakayama:
A Better LLM Evaluator for Text Generation: The Impact of Prompt Output Sequencing and Optimization. CoRR abs/2406.09972 (2024) - [i51]Kuanchao Chu, Satoshi Yamazaki, Hideki Nakayama:
Enhanced Data Transfer Cooperating with Artificial Triplets for Scene Graph Generation. CoRR abs/2406.19316 (2024) - [i50]Kuanchao Chu, Yi-Pei Chen, Hideki Nakayama:
Cohesive Conversations: Enhancing Authenticity in Multi-Agent Simulated Dialogues. CoRR abs/2407.09897 (2024) - [i49]Kento Masui, Mayu Otani, Masahiro Nomura, Hideki Nakayama:
Harnessing the Latent Diffusion Model for Training-Free Image Style Transfer. CoRR abs/2410.01366 (2024) - [i48]Yuto Nishimura, Takumi Hirose, Masanari Ohi, Hideki Nakayama, Nakamasa Inoue:
HALL-E: Hierarchical Neural Codec Language Model for Minute-Long Zero-Shot Text-to-Speech Synthesis. CoRR abs/2410.04380 (2024) - [i47]Yuto Nishimura, Masataka Sawayama, Ayumu Yamashita, Hideki Nakayama, Kaoru Amano:
BrainCodec: Neural fMRI codec for the decoding of cognitive brain states. CoRR abs/2410.04383 (2024) - 2023
- [j12]Kuanchao Chu, Hideki Nakayama:
Two-Path Object Knowledge Injection for Detecting Novel Objects With Single-Stage Dense Detector. IEICE Trans. Inf. Syst. 106(11): 1868-1880 (2023) - [c86]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: 13101-13123 - [c85]Duc Minh Vo, Quoc-An Luong, Akihiro Sugimoto, Hideki Nakayama:
A-CAP: Anticipation Captioning with Commonsense Knowledge. CVPR 2023: 10824-10833 - [c84]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: 384-398 - [c83]Jiaxuan Li, Duc Minh Vo, Hideki Nakayama:
Partition-and-Debias: Agnostic Biases Mitigation via A Mixture of Biases-Specific Experts. ICCV 2023: 4901-4911 - [c82]Jan Zdenek, Hideki Nakayama:
Handwritten Text Generation with Character-Specific Encoding for Style Imitation. ICDAR (2) 2023: 313-329 - [c81]Rui Yang, Duc Minh Vo, Hideki Nakayama:
Indirect Adversarial Losses via an Intermediate Distribution for Training GANs. WACV 2023: 4641-4650 - [i46]Duc Minh Vo, Quoc-An Luong, Akihiro Sugimoto, Hideki Nakayama:
A-CAP: Anticipation Captioning with Commonsense Knowledge. CoRR abs/2304.06602 (2023) - [i45]Yi-Pei Chen, An-Zi Yen, Hen-Hsen Huang, Hideki Nakayama, Hsin-Hsi Chen:
LED: A Dataset for Life Event Extraction from Dialogs. CoRR abs/2304.08327 (2023) - [i44]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 abs/2306.00241 (2023) - [i43]Kai Katsumata, Duc Minh Vo, Tatsuya Harada, Hideki Nakayama:
Soft Curriculum for Learning Conditional GANs with Noisy-Labeled and Uncurated Unlabeled Data. CoRR abs/2307.08319 (2023) - [i42]Kai Katsumata, Duc Minh Vo, Bei Liu, Hideki Nakayama:
Revisiting Latent Space of GAN Inversion for Real Image Editing. CoRR abs/2307.08995 (2023) - [i41]Jiaxuan Li, Duc Minh Vo, Hideki Nakayama:
Partition-and-Debias: Agnostic Biases Mitigation via A Mixture of Biases-Specific Experts. CoRR abs/2308.10005 (2023) - [i40]Kai Katsumata, Duc Minh Vo, Hideki Nakayama:
An Efficient 3D Gaussian Representation for Monocular/Multi-view Dynamic Scenes. CoRR abs/2311.12897 (2023) - [i39]Jiaxuan Li, Duc Minh Vo, Akihiro Sugimoto, Hideki Nakayama:
EVCap: Retrieval-Augmented Image Captioning with External Visual-Name Memory for Open-World Comprehension. CoRR abs/2311.15879 (2023) - 2022
- [j11]Rui Yang, Duc Minh Vo, Hideki Nakayama:
Stochastically Flipping Labels of Discriminator's Outputs for Training Generative Adversarial Networks. IEEE Access 10: 103644-103654 (2022) - [j10]Rui Yang, Raphael Shu, Hideki Nakayama:
Improving Noised Gradient Penalty with Synchronized Activation Function for Generative Adversarial Networks. IEICE Trans. Inf. Syst. 105-D(9): 1537-1545 (2022) - [c80]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: 8718-8735 - [c79]Yuxuan Wu, Hideki Nakayama:
Weakly Supervised Formula Learner for Solving Mathematical Problems. COLING 2022: 1743-1752 - [c78]Kai Katsumata, Duc Minh Vo, Hideki Nakayama:
OSSGAN: Open-Set Semi-Supervised Image Generation. CVPR 2022: 11175-11183 - [c77]Duc Minh Vo, Hong Chen, Akihiro Sugimoto, Hideki Nakayama:
NOC-REK: Novel Object Captioning with Retrieved Vocabulary from External Knowledge. CVPR 2022: 17979-17987 - [c76]Hong Chen, Duc Minh Vo, Hiroya Takamura, Yusuke Miyao, Hideki Nakayama:
StoryER: Automatic Story Evaluation via Ranking, Rating and Reasoning. EMNLP 2022: 1739-1753 - [c75]Hong Chen, Rujun Han, Te-Lin Wu, Hideki Nakayama, Nanyun Peng:
Character-centric Story Visualization via Visual Planning and Token Alignment. EMNLP 2022: 8259-8272 - [c74]Ikki Kishida, Hideki Nakayama:
Pixel to Binary Embedding Towards Robustness for CNNs. ICPR 2022: 2279-2285 - [c73]Ryuichiro Hataya, Hideki Nakayama:
DJMix: Unsupervised Task-agnostic Image Augmentation for Improving Robustness of Convolutional Neural Networks. IJCNN 2022: 1-8 - [c72]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: 156-162 - [c71]Jun Takeuchi, Noriki Nishida, Hideki Nakayama:
Neural Networks in a Product of Hyperbolic Spaces. NAACL-HLT (Student Research Workshop) 2022: 211-221 - [c70]Duc Minh Vo, Akihiro Sugimoto, Hideki Nakayama:
PPCD-GAN: Progressive Pruning and Class-Aware Distillation for Large-Scale Conditional GANs Compression. WACV 2022: 1422-1430 - [c69]Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, Hideki Nakayama:
Meta Approach to Data Augmentation Optimization. WACV 2022: 3535-3544 - [i38]Duc Minh Vo, Akihiro Sugimoto, Hideki Nakayama:
PPCD-GAN: Progressive Pruning and Class-Aware Distillation for Large-Scale Conditional GANs Compression. CoRR abs/2203.08456 (2022) - [i37]Duc Minh Vo, Hong Chen, Akihiro Sugimoto, Hideki Nakayama:
NOC-REK: Novel Object Captioning with Retrieved Vocabulary from External Knowledge. CoRR abs/2203.14499 (2022) - [i36]Kai Katsumata, Duc Minh Vo, Hideki Nakayama:
OSSGAN: Open-Set Semi-Supervised Image Generation. CoRR abs/2204.14249 (2022) - [i35]Ikki Kishida, Hideki Nakayama:
Pixel to Binary Embedding Towards Robustness for CNNs. CoRR abs/2206.05898 (2022) - [i34]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 abs/2209.13359 (2022) - [i33]Hong Chen, Duc Minh Vo, Hiroya Takamura, Yusuke Miyao, Hideki Nakayama:
StoryER: Automatic Story Evaluation via Ranking, Rating and Reasoning. CoRR abs/2210.08459 (2022) - [i32]Hong Chen, Rujun Han, Te-Lin Wu, Hideki Nakayama, Nanyun Peng:
Character-Centric Story Visualization via Visual Planning and Token Alignment. CoRR abs/2210.08465 (2022) - 2021
- [j9]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. 22-S(2): 31 (2021) - [c68]Hong Chen, Yifei Huang, Hiroya Takamura, Hideki Nakayama:
Commonsense Knowledge Aware Concept Selection For Diverse and Informative Visual Storytelling. AAAI 2021: 999-1008 - [c67]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: 1-45 - [c66]Hong Chen, Hiroya Takamura, Hideki Nakayama:
SciXGen: A Scientific Paper Dataset for Context-Aware Text Generation. EMNLP (Findings) 2021: 1483-1492 - [c65]Taiga Kashima, Ryuichiro Hataya, Hideki Nakayama:
Visualizing Association in Exemplar-Based Classification. ICASSP 2021: 1780-1784 - [c64]Kai Katsumata, Hideki Nakayama:
Semantic Image Synthesis from Inaccurate and Coarse Masks. ICASSP 2021: 2285-2289 - [c63]Kai Katsumata, Ikki Kishida, Ayako Amma, Hideki Nakayama:
Open-Set Domain Generalization VIA Metric Learning. ICIP 2021: 459-463 - [c62]Yuhao Xu, Hideki Nakayama:
DCT-based Fast Spectral Convolution for Deep Convolutional Neural Networks. IJCNN 2021: 1-8 - [c61]Hong Chen, Raphael Shu, Hiroya Takamura, Hideki Nakayama:
GraphPlan: Story Generation by Planning with Event Graph. INLG 2021: 377-386 - [c60]Shisheng Wang, Hideki Nakayama:
Stochastic Observation Prediction for Efficient Reinforcement Learning in Robotics. MIPR 2021: 131-137 - [c59]Jan Zdenek, Hideki Nakayama:
JokerGAN: Memory-Efficient Model for Handwritten Text Generation with Text Line Awareness. ACM Multimedia 2021: 5655-5663 - [c58]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: 1516-1525 - [e2]Toshiaki Nakazawa, Hideki Nakayama, Isao Goto, Hideya Mino, Chenchen Ding, Raj Dabre, Anoop Kunchukuttan, Shohei Higashiyama, Hiroshi Manabe, Win Pa Pa, Shantipriya Parida, Ondrej Bojar, Chenhui Chu, Akiko Eriguchi, Kaori Abe, Yusuke Oda, Katsuhito Sudoh, Sadao Kurohashi, Pushpak Bhattacharyya:
Proceedings of the 8th Workshop on Asian Translation, WAT@ACL/IJCNLP 2021, Online, August 5-6, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-63-3 [contents] - [i31]Hong Chen, Yifei Huang, Hiroya Takamura, Hideki Nakayama:
Commonsense Knowledge Aware Concept Selection For Diverse and Informative Visual Storytelling. CoRR abs/2102.02963 (2021) - [i30]Hong Chen, Raphael Shu, Hiroya Takamura, Hideki Nakayama:
GraphPlan: Story Generation by Planning with Event Graph. CoRR abs/2102.02977 (2021) - [i29]Ryuichiro Hataya, Hideki Nakayama, Kazuki Yoshizoe:
Graph Energy-based Model for Substructure Preserving Molecular Design. CoRR abs/2102.04600 (2021) - [i28]Hong Chen, Hiroya Takamura, Hideki Nakayama:
SciXGen: A Scientific Paper Dataset for Context-Aware Text Generation. CoRR abs/2110.10774 (2021) - 2020
- [j8]Noriki Nishida, Hideki Nakayama:
Unsupervised Discourse Constituency Parsing Using Viterbi EM. Trans. Assoc. Comput. Linguistics 8: 215-230 (2020) - [c57]Raphael Shu, Jason Lee, Hideki Nakayama, Kyunghyun Cho:
Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior. AAAI 2020: 8846-8853 - [c56]Yuxuan Wu, Hideki Nakayama:
Graph-Based Heuristic Search for Module Selection Procedure in Neural Module Network. ACCV (3) 2020: 560-575 - [c55]Ryosuke Kuwabara, Jun Suzuki, Hideki Nakayama:
Single Model Ensemble using Pseudo-Tags and Distinct Vectors. ACL 2020: 3006-3013 - [c54]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: 1-44 - [c53]Tetsuro Nishihara, Akihiro Tamura, Takashi Ninomiya, Yutaro Omote, Hideki Nakayama:
Supervised Visual Attention for Multimodal Neural Machine Translation. COLING 2020: 4304-4314 - [c52]Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, Hideki Nakayama:
Faster AutoAugment: Learning Augmentation Strategies Using Backpropagation. ECCV (25) 2020: 1-16 - [c51]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: 3299-3310 - [c50]Taiga Kashima, Kento Masui, Hideki Nakayama:
Unsupervised Visual Relationship Inference. ICIP 2020: 1476-1480 - [c49]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: 320-333 - [c48]Hideki Nakayama, Akihiro Tamura, Takashi Ninomiya:
A Visually-Grounded Parallel Corpus with Phrase-to-Region Linking. LREC 2020: 4204-4210 - [c47]Takumi Ohkuma, Hideki Nakayama:
Efficient Base Class Selection Algorithms for Few-Shot Classification. ICMR 2020: 271-275 - [c46]Jan Zdenek, Hideki Nakayama:
Erasing Scene Text with Weak Supervision. WACV 2020: 2227-2235 - [p2]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. Neural Approaches to Dynamics of Signal Exchanges 2020: 269-280 - [p1]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. Neural Approaches to Dynamics of Signal Exchanges 2020: 291-303 - [e1]Toshiaki Nakazawa, Hideki Nakayama, Chenchen Ding, Raj Dabre, Anoop Kunchukuttan, Win Pa Pa, Ondrej Bojar, Shantipriya Parida, Isao Goto, Hidaya Mino, Hiroshi Manabe, Katsuhito Sudoh, Sadao Kurohashi, Pushpak Bhattacharyya:
Proceedings of the 7th Workshop on Asian Translation, WAT@AACL/IJCNLP 2020, Suzhou, China, December 4, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-95-8 [contents] - [i27]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 abs/2001.03923 (2020) - [i26]Ryosuke Kuwabara, Jun Suzuki, Hideki Nakayama:
Single Model Ensemble using Pseudo-Tags and Distinct Vectors. CoRR abs/2005.00879 (2020) - [i25]Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, Hideki Nakayama:
Meta Approach to Data Augmentation Optimization. CoRR abs/2006.07965 (2020) - [i24]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 abs/2007.13559 (2020) - [i23]Yuxuan Wu, Hideki Nakayama:
Graph-based Heuristic Search for Module Selection Procedure in Neural Module Network. CoRR abs/2009.14759 (2020)
2010 – 2019
- 2019
- [j7]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: 156966-156977 (2019) - [j6]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: 31-43 (2019) - [c45]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: 729-737 - [c44]Raphael Shu, Hideki Nakayama, Kyunghyun Cho:
Generating Diverse Translations with Sentence Codes. ACL (1) 2019: 1823-1827 - [c43]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: 44-54 - [c42]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: 119-127 - [c41]Yuhao Xu, Hideki Nakayama:
DCT Based Information-Preserving Pooling for Deep Neural Networks. ICIP 2019: 894-898 - [c40]Ryuichiro Hataya, Hideki Nakayama:
LOL: Learning To Optimize Loss Switching Under Label Noise. ICIP 2019: 3621-3625 - [c39]Rui Yang, Hideki Nakayama:
Bipolar Gan: Double Check the Solution Space and Lighten False Positive Errors in Generative Adversarial Nets. ICIP 2019: 4260-4264 - [c38]Ikki Kishida, Hideki Nakayama:
Empirical Study of Easy and Hard Examples in CNN Training. ICONIP (4) 2019: 179-188 - [c37]Yuhao Xu, Hideki Nakayama:
Shifted Spatial-Spectral Convolution for Deep Neural Networks. MMAsia 2019: 19:1-19:6 - [c36]Jiali Yao, Raphael Shu, Xinjian Li, Katsutoshi Ohtsuki, Hideki Nakayama:
Enabling Real-time Neural IME with Incremental Vocabulary Selection. NAACL-HLT (2) 2019: 1-8 - [i22]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 abs/1902.09856 (2019) - [i21]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 abs/1903.12564 (2019) - [i20]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 abs/1903.12571 (2019) - [i19]Changhee Han, Kohei Murao, Shin'ichi Satoh, Hideki Nakayama:
Learning More with Less: GAN-based Medical Image Augmentation. CoRR abs/1904.00838 (2019) - [i18]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 abs/1904.08254 (2019) - [i17]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 abs/1905.13456 (2019) - [i16]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 abs/1906.04962 (2019) - [i15]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 abs/1906.06114 (2019) - [i14]Raphael Shu, Jason Lee, Hideki Nakayama, Kyunghyun Cho:
Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference using a Delta Posterior. CoRR abs/1908.07181 (2019) - [i13]Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, Hideki Nakayama:
Faster AutoAugment: Learning Augmentation Strategies using Backpropagation. CoRR abs/1911.06987 (2019) - [i12]Ikki Kishida, Hideki Nakayama:
Empirical Study of Easy and Hard Examples in CNN Training. CoRR abs/1911.10739 (2019) - 2018
- [j5]Kento Masui, Akiyoshi Ochiai, Shintaro Yoshizawa, Hideki Nakayama:
Recurrent Visual Relationship Recognition with Triplet Unit for Diversity. Int. J. Semantic Comput. 12(4): 523-540 (2018) - [c35]Hong Chen, Yifei Huang, Hideki Nakayama:
Semantic Aware Attention Based Deep Object Co-segmentation. ACCV (4) 2018: 435-450 - [c34]Raphael Shu, Hideki Nakayama:
Improving Beam Search by Removing Monotonic Constraint for Neural Machine Translation. ACL (2) 2018: 339-344 - [c33]Raphael Shu, Hideki Nakayama:
Compressing Word Embeddings via Deep Compositional Code Learning. ICLR (Poster) 2018 - [c32]Changhee Han, Hideaki Hayashi, Leonardo Rundo, Ryosuke Araki, Wataru Shimoda, Shinichi Muramatsu, Yujiro Furukawa, Giancarlo Mauri, Hideki Nakayama:
GAN-based synthetic brain MR image generation. ISBI 2018: 734-738 - [c31]Natsuda Laokulrat, Naoaki Okazaki, Hideki Nakayama:
Incorporating Semantic Attention in Video Description Generation. LREC 2018 - [c30]Masashi Yokota, Hideki Nakayama:
Augmenting Image Question Answering Dataset by Exploiting Image Captions. LREC 2018 - [c29]Diep Thi Ngoc Nguyen, Hideki Nakayama, Naoaki Okazaki, Tatsuya Sakaeda:
PoB: Toward Reasoning Patterns of Beauty in Image Data. ACM Multimedia 2018: 1786-1793 - [c28]Masaya Abe, Hideki Nakayama:
Deep Learning for Forecasting Stock Returns in the Cross-Section. PAKDD (1) 2018: 273-284 - [c27]Noriki Nishida, Hideki Nakayama:
Coherence Modeling Improves Implicit Discourse Relation Recognition. SIGDIAL Conference 2018: 344-349 - [i11]Masaya Abe, Hideki Nakayama:
Deep Learning for Forecasting Stock Returns in the Cross-Section. CoRR abs/1801.01777 (2018) - [i10]Raphael Shu, Hideki Nakayama:
Discrete Structural Planning for Neural Machine Translation. CoRR abs/1808.04525 (2018) - [i9]Hong Chen, Yifei Huang, Hideki Nakayama:
Semantic Aware Attention Based Deep Object Co-segmentation. CoRR abs/1810.06859 (2018) - [i8]Jiali Yao, Raphael Shu, Xinjian Li, Katsutoshi Ohtsuki, Hideki Nakayama:
Real-time Neural-based Input Method. CoRR abs/1810.09309 (2018) - 2017
- [j4]Hideki Nakayama, Noriki Nishida:
Zero-resource machine translation by multimodal encoder-decoder network with multimedia pivot. Mach. Transl. 31(1-2): 49-64 (2017) - [c26]Raphael Shu, Hideki Nakayama:
An Empirical Study of Adequate Vision Span for Attention-Based Neural Machine Translation. NMT@ACL 2017: 1-10 - [c25]Jan Zdenek, Hideki Nakayama:
Bag of Local Convolutional Triplets for Script Identification in Scene Text. ICDAR 2017: 369-375 - [c24]Noriki Nishida, Hideki Nakayama:
Word Ordering as Unsupervised Learning Towards Syntactically Plausible Word Representations. IJCNLP(1) 2017: 70-79 - [c23]Kento Masui, Akiyoshi Ochiai, Shintaro Yoshizawa, Hideki Nakayama:
Recurrent Visual Relationship Recognition with Triplet Unit. ISM 2017: 69-76 - [i7]Raphael Shu, Hideki Nakayama:
Later-stage Minimum Bayes-Risk Decoding for Neural Machine Translation. CoRR abs/1704.03169 (2017) - [i6]Raphael Shu, Hideki Nakayama:
Single-Queue Decoding for Neural Machine Translation. CoRR abs/1707.01830 (2017) - [i5]Raphael Shu, Hideki Nakayama:
Compressing Word Embeddings via Deep Compositional Code Learning. CoRR abs/1711.01068 (2017) - [i4]Jiren Jin, Richard G. Calland, Takeru Miyato, Brian K. Vogel, Hideki Nakayama:
Parameter Reference Loss for Unsupervised Domain Adaptation. CoRR abs/1711.07170 (2017) - 2016
- [j3]Hideki Nakayama, Tomoya Tsuda:
Efficient Two-Step Middle-Level Part Feature Extraction for Fine-Grained Visual Categorization. IEICE Trans. Inf. Syst. 99-D(6): 1626-1634 (2016) - [c22]Natsuda Laokulrat, Sang Phan, Noriki Nishida, Raphael Shu, Yo Ehara, Naoaki Okazaki, Yusuke Miyao, Hideki Nakayama:
Generating Video Description using Sequence-to-sequence Model with Temporal Attention. COLING 2016: 44-52 - [c21]Jiren Jin, Hideki Nakayama:
Annotation order matters: Recurrent Image Annotator for arbitrary length image tagging. ICPR 2016: 2452-2457 - [c20]Kohei Yamamoto, Hayato Kobayashi, Yukihiro Tagami, Hideki Nakayama:
Multimodal Content-Aware Image Thumbnailing. WWW (Companion Volume) 2016: 129-130 - [i3]Jiren Jin, Hideki Nakayama:
Annotation Order Matters: Recurrent Image Annotator for Arbitrary Length Image Tagging. CoRR abs/1604.05225 (2016) - [i2]Hideki Nakayama, Noriki Nishida:
Zero-resource Machine Translation by Multimodal Encoder-decoder Network with Multimedia Pivot. CoRR abs/1611.04503 (2016) - [i1]Raphael Shu, Hideki Nakayama:
Reducing Redundant Computations with Flexible Attention. CoRR abs/1612.06043 (2016) - 2015
- [c19]Ruka Funaki, Hideki Nakayama:
Image-Mediated Learning for Zero-Shot Cross-Lingual Document Retrieval. EMNLP 2015: 585-590 - [c18]Takanori Tamanaha, Hideki Nakayama:
Unsupervised Cosegmentation based on Global Graph Matching. ACM Multimedia 2015: 1203-1206 - [c17]Noriki Nishida, Hideki Nakayama:
Multimodal Gesture Recognition Using Multi-stream Recurrent Neural Network. PSIVT 2015: 682-694 - 2014
- [c16]Masaya Okamoto, Hideki Nakayama:
Unsupervised Visual Domain Adaptation Using Auxiliary Information in Target Domain. ISM 2014: 203-206 - 2013
- [c15]Hideki Nakayama:
Efficient Discriminative Convolution Using Fisher Weight Map. BMVC 2013 - [c14]Hideki Nakayama:
NLab-UTokyo at ImageCLEF 2013 Plant Identification Task. CLEF (Working Notes) 2013 - [c13]Hideki Nakayama:
Augmenting descriptors for fine-grained visual categorization using polynomial embedding. ICME 2013: 1-6 - 2010
- [j2]Hideki Nakayama, Tatsuya Harada, Yasuo Kuniyoshi:
Dense Sampling Low-Level Statistics of Local Features. IEICE Trans. Inf. Syst. 93-D(7): 1727-1736 (2010) - [j1]Tatsuya Harada, Hideki Nakayama, Yasuo Kuniyoshi, Nobuyuki Otsu:
Image Annotation and Retrieval for Weakly Labeled Images Using Conceptual Learning. New Gener. Comput. 28(3): 277-298 (2010) - [c12]Hideki Nakayama, Tatsuya Harada, Yasuo Kuniyoshi:
Evaluation of dimensionality reduction methods for image auto-annotation. BMVC 2010: 1-12 - [c11]Hideki Nakayama, Tatsuya Harada, Yasuo Kuniyoshi:
Global Gaussian approach for scene categorization using information geometry. CVPR 2010: 2336-2343 - [c10]Tatsuya Harada, Hideki Nakayama, Yasuo Kuniyoshi:
Improving Local Descriptors by Embedding Global and Local Spatial Information. ECCV (4) 2010: 736-749 - [c9]Asako Kanezaki, Hideki Nakayama, Tatsuya Harada, Yasuo Kuniyoshi:
High-speed 3D object recognition using additive features in a linear subspace. ICRA 2010: 3128-3134
2000 – 2009
- 2009
- [c8]Hideki Nakayama, Tatsuya Harada, Yasuo Kuniyoshi:
Dense sampling low-level statistics of local features. CIVR 2009 - [c7]Hideki Nakayama, Tatsuya Harada, Yasuo Kuniyoshi:
AI Goggles: Real-time Description and Retrieval in the Real World with Online Learning. CRV 2009: 184-191 - [c6]Tatsuya Harada, Hideki Nakayama, Yasuo Kuniyoshi:
Image annotation and retrieval based on efficient learning of contextual latent space. ICME 2009: 858-861 - [c5]Hideki Nakayama, Tatsuya Harada, Yasuo Kuniyoshi:
Canonical contextual distance for large-scale image annotation and retrieval. LS-MMRM@ACM Multimedia 2009: 3-10 - [c4]Hideki Nakayama, Tatsuya Harada, Yasuo Kuniyoshi:
Scene Classification Using Generalized Local Correlation. MVA 2009: 195-198 - 2008
- [c3]Hideki Nakayama, Tatsuya Harada, Yasuo Kuniyoshi, Nobuyuki Otsu:
High-Performance Image Annotation and Retrieval for Weakly Labeled Images Using Latent Space Learning. PCM 2008: 601-610 - 2007
- [c2]Rie Matsumoto, Hideki Nakayama, Tatsuya Harada, Yasuo Kuniyoshi:
Journalist robot: robot system making news articles from real world. IROS 2007: 1234-1241 - 2003
- [c1]Takehiro Tokuda, Tetsuya Suzuki, Hideki Nakayama:
Towards Implicit Invocation of Web Services Functions. EJC 2003: 110-114
Coauthor Index
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