Online edition: ISSN 2432-6380
[TOP] | [2018] | [2019] | [2020] | [2021] | [2022] | [2023] | [2024] | [Japanese] / [English]
PRMU2024-1
(See Japanese page.)
pp. 1 - 6
PRMU2024-2
Fine-tuning Large Language Models for Automatic Font Skeleton Generation: A First Attempt
Yuxuan Liu (Tokyo Tech), Yasuhisa Fujii (Google Research), Xinru Zhu, Kayoko Nohara (Tokyo Tech)
pp. 7 - 12
PRMU2024-3
Development and evaluation of a video segmentation model using differences between frames
Sota Kawamura, Hirotada Honda, Shugo Nakamura, Takashi Sano (Toyo Univ)
pp. 13 - 17
PRMU2024-4
An acceleration method by image selection for wide-area 3D scene reconstruction
Takayuki Kurozumi, Shota Yamada, Seiichi Konya, Shinji Fukatsu (NTT)
pp. 18 - 23
PRMU2024-5
A Proposal for Generating Incorrect Pairs for the CLIP Learning based on Image Clustering
Rina Tagami, Hiroki Kobayashi, Shuichi Akizuki, Manabu Hashimoto (Chukyo Univ.)
pp. 24 - 29
PRMU2024-6
Integrating Global-Local Feature Embeddings for Open-Vocabulary Temporal Action Detection
NguyenTrung Thanh (Nagoya Univ.), Yasutomo Kawanishi (RIKEN), Takahiro Komamizu, Ichiro Ide (Nagoya Univ.)
pp. 30 - 35
PRMU2024-7
Detection of Depression Using Web-Interview Data
Cheuk Hee Lam, Nathania Nah, Koichi Shinoda (TokyoTech), Momoko Kitazawa, Yuriko Kaise (Keio), Shunsuke Takagi, Genichi Sugihara (TMD), Taishiro Kishimoto (Keio)
pp. 36 - 40
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.