Hideki Nakayama

The University of Tokyo — Japan

Computer Science · Physical Sciences

26h-index2.8kcitations178works1.12yr avg
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Research Topics

Multimodal Machine Learning Applications(44), Natural Language Processing Techniques(38), Advanced Image and Video Retrieval Techniques(37), Topic Modeling(35), Advanced Neural Network Applications(30)

Publications177 total

Controllable Font Style for Visual Text Generation Using Reference Images
Communications in computer and information science·2025
Post-Traumatic Growth Characteristics and Influencing Factors in Japanese Patients with Postoperative Head and Neck Cancer: A Cross-Sectional Study
Seminars in Oncology Nursing·2025Open Access
LAVA Grand Challenge 2025: Benchmarking Japanese-English Document Understanding with Large Vision-Language Models
2025Open Access
Advanced Weakly-Supervised Formula Exploration for Neuro-Symbolic Mathematical Reasoning
arXiv (Cornell University)·2025Open Access
Robust <scp>HPV</scp>‐16 Detection Workflow for Formalin‐Fixed Cancer Tissue and Its Application for Oral Squamous Cell Carcinoma
Cancer Medicine·2025· 1 citedOpen Access
Do Multimodal Large Language Models Truly See What We Point At? Investigating Indexical, Iconic, and Symbolic Gesture Comprehension
2025Open Access
NEMO: Can Multimodal LLMs Identify Attribute-Modified Objects?
arXiv (Cornell University)·2024Open Access
An improved surgical approach to reduce postoperative recurrence of oral cancer − Consideration for lingual lymph node −
Japanese Journal of Oral & Maxillofacial Surgery·2024Open Access
A Compact Dynamic 3D Gaussian Representation for Real-Time Dynamic View Synthesis
Lecture notes in computer science·2024· 5 cited
LayoutFlow: Flow Matching for Layout Generation
Lecture notes in computer science·2024· 5 cited
Harnessing the Latent Diffusion Model for Training-Free Image Style Transfer
arXiv (Cornell University)·2024Open Access
Enhanced Data Transfer Cooperating with Artificial Triplets for Scene Graph Generation
IEICE Transactions on Information and Systems·2024Open Access
LayoutFlow: Flow Matching for Layout Generation
arXiv (Cornell University)·2024Open Access
Revisiting Latent Space of GAN Inversion for Robust Real Image Editing
2024· 5 cited
Asynchronous Federated Learning Through Online Linear Regressions
IEEE Access·2024Open Access
MILE: Memory-Interactive Learning Engine for Neuro-Symbolic Solutions to Mathematical Problems
IEEE Access·2024Open Access
FedFit: Server Aggregation Through Linear Regression in Federated Learning
IEEE Access·2024· 2 citedOpen Access
EVCap: Retrieval-Augmented Image Captioning with External Visual-Name Memory for Open-World Comprehension
arXiv (Cornell University)·2023· 2 citedOpen Access
A Compact Dynamic 3D Gaussian Representation for Real-Time Dynamic View Synthesis
arXiv (Cornell University)·2023· 3 citedOpen Access
Two-Path Object Knowledge Injection for Detecting Novel Objects With Single-Stage Dense Detector
IEICE Transactions on Information and Systems·2023Open Access
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Frequent Co-authors

Changhee Han(15), Leonardo Rundo(14), Tatsuya Harada(9), Yasuo Kuniyoshi(9), Kohei Murao(8), Shin’ichi Satoh(7), Raphael Shu(7), Yujiro Furukawa(6), Giancarlo Mauri(6), Jan Zdenek(5), Hideaki Hayashi(4), Ryosuke Araki(4), Yudai Nagano(4), Tomoyuki Noguchi(4), Noriki Nishida(4), Ryuichiro Hataya(4), Zoltán Á. Milacski(3), Evis Sala(3), Kazuki Umemoto(3), Yuki Shimahara(2)