Publications - LINEヤフーの研究開発

カンファレンス (国際)
Song Data Cleansing for End-to-End Neural Singer Diarization Using Neural Analysis and Synthesis Framework: Hokuto Munakata, Ryo Terashima, Yusuke Fujita; The 25th Annual Conference of the International Speech Communication Association (INTERSPEECH 2024); 2024.9.3

カンファレンス (国際)
Audio Fingerprinting with Holographic Reduced Representations: Yusuke Fujita, Tatsuya Komatsu; The 25th Annual Conference of the International Speech Communication Association (INTERSPEECH 2024); 2024.9.1

カンファレンス (国際)
Noise-Robust Voice Conversion by Conditional Denoising Training Using Latent Variables of Recording Quality and Environment: Takuto Igarashi (The University of Tokyo), Yuki Saito (The University of Tokyo), Kentaro Seki (The University of Tokyo), Shinnosuke Takamichi (The University of Tokyo), Ryuichi Yamamoto, Kentaro Tachibana, Hiroshi Saruwatari (The University of Tokyo); The 25th Annual Conference of the International Speech Communication Association (INTERSPEECH 2024); 2024.9.1

カンファレンス (国際)
SRC4VC: Smartphone-Recorded Corpus for Voice Conversion Benchmark: Yuki Saito (The University of Tokyo), Takuto Igarashi (The University of Tokyo), Kentaro Seki (The University of Tokyo), Shinnosuke Takamichi (The University of Tokyo), Ryuichi Yamamoto, Kentaro Tachibana, Hiroshi Saruwatari (The University of Tokyo); The 25th Annual Conference of the International Speech Communication Association (INTERSPEECH 2024); 2024.9.1

カンファレンス (国際)
Universal Score-based Speech Enhancement with High Content Preservation: Robin Scheibler, Yusuke Fujita, Yuma Shirahata, Tatsuya Komatsu; The 25th Annual Conference of the International Speech Communication Association (INTERSPEECH 2024); 2024.9.1

論文誌 (国際)
MC-Whisper: Extending Speech Foundation Models to Multichannel Distant Speech Recognition: Xuankai Chang (Carnegie Mellon University), Pengcheng Guo (Northwestern Polytechnical University), Yuya Fujita, Takashi Maekaku, Shinji Watanabe (Carnegie Mellon University); IEEE Signal Processing Letters (IEEE SPL); 2024.8.26

ワークショップ (国際)
Leveraging Instrumental Variables in Online Advertising Auctions : Robust Click-Through-Rate Prediction: Ryohei Emori (Keio University), Shinya Suzumura, Takahiro Hoshino (Keio University), Nobuyuki Shimizu; ADKDD 2024: the 17th International Workshop on Data Mining and Audience Intelligence for Advertising (AdKDD 2024); 2024.8.25

カンファレンス (国内)
Real-SRGD: 分類器無しガイダンスによる実世界超解像向け拡散モデルの画像品質改善: 土井賢治, 岡田俊太郎, 吉橋亮太, 片岡裕雄; 第27回画像の認識・理解シンポジウム MIRU2024 (MIRU2024); 2024.8.9

カンファレンス (国内)
拡散モデルを用いた意味領域分割のための擬似マスク生成における教師なしドメイン適応: 大塚雄也, 吉橋亮太, 土井賢治, 田中智大; 第27回画像の認識・理解シンポジウム MIRU2024 (MIRU2024); 2024.8.9

カンファレンス (国内)
動画クラスタリングのためのDINOの動画への拡張の検討: 中嶋直也, 石川裕地, 近藤雅芳; 第27回画像の認識・理解シンポジウム MIRU2024 (MIRU2024); 2024.8.6

カンファレンス (国際)
A Survey of Constraint Formulations in Safe Reinforcement Learning: Akifumi Wachi, Xun Shen (Osaka University), Yanan Sui (Tsinghua University); The 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024); 2024.8.3

カンファレンス (国内)
Layout-Corrector: Alleviating Layout Sticking Phenomenon in Discrete Diffusion Model: 岩井翔真 (東北大学), 長内淳樹, 北田俊輔, 大町真一郎 (東北大学); 第27回画像の認識・理解シンポジウム MIRU2024 (MIRU2024); 2024.7.31

ワークショップ (国際)
Towards Incorporating Personalized Context for Conversational Information Seeking: Haitao Yu (Tsukuba univ.), Lingzhen Zheng (Tsukuba univ.), Kaiyu Yang (Tsukuba univ.), Sumio Fujita, Hideo Joho (Tsukuba univ.); The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024); 2024.7.18

カンファレンス (国際)
Safe Reinforcement Learning Using Model Predictive Control with Probabilistic Control Barrier Function: Xun Shen (Osaka University), Akifumi Wachi, Wataru Hashimoto (Osaka University), Kazumune Hashimoto (Osaka University), Shigemasa Takai (Osaka University); 2024 American Control Conference (ACC 2024); 2024.7.10

論文誌 (国際)
Enhancing human mobility research with open and standardized datasets: Takahiro Yabe (New York University), Massimiliano Luca (Fondazione Bruno Kessler), Kota Tsubouchi, Bruno Lepri (Fondazione Bruno Kessler), Marta C. Gonzalez (University of California), Esteban Moro (Northeastern University); Nature Computational Science (Nat. Comput. Sci.); 2024.7.3

論文誌 (国際)
Forecasting Lifespan of Crowded Events With Acoustic Synthesis-Inspired Segmental Long Short-Term Memory: Soto Anno (Tokyo Institute of Technology), Kota Tsubouchi, Masamichi Shimosaka (Tokyo Institute of Technology); IEEE Access; 2024.6.25

その他 (国際)
Song Data Cleansing for End-to-End Neural Singer Diarization Using Neural Analysis and Synthesis Framework: Hokuto Munakata, Ryo Terashima, Yusuke Fujita; arXiv.org (arXiv); 2024.6.24

カンファレンス (国際)
Exploring Vision Transformers for 3D Human Motion-Language Models with Motion Patches: Qing Yu, Mikihiro Tanaka, Kent Fujiwara; The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024 (CVPR 2024); 2024.6.19

カンファレンス (国際)
Towards Estimating UV Index with a Smartphone Utilizing GNSS Signals as a Point Cloud: Subaru Atsumi (The University of Tokyo), Riku Ishioka (The University of Tokyo), Kota Tsubouchi, Yuuki Nishiyama (The University of Tokyo), Kaoru Sezaki (The University of Tokyo); The 22nd ACM International Conference on Mobile Systems, Applications, and Services (Mobisys 2024); 2024.6.19

カンファレンス (国際)
Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models: Peifei Zhu, Tsubasa Takahashi, Hirokatsu Kataoka; The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024 (CVPR 2024); 2024.6.17