{"id":21712,"date":"2022-07-26T02:46:26","date_gmt":"2022-07-25T17:46:26","guid":{"rendered":"https:\/\/labs.gree.jp\/blog\/?page_id=21712"},"modified":"2022-11-15T16:19:41","modified_gmt":"2022-11-15T07:19:41","slug":"research","status":"publish","type":"page","link":"https:\/\/labs.gree.jp\/blog\/research\/","title":{"rendered":"Research"},"content":{"rendered":"\n
\n

Cross-platforming \u201cSchool life metaverse\u201d user experience<\/mark><\/a><\/strong><\/h2>\n\n\n\n

Takuma Kato, Tomosuke Nakano, Takanori Horibe, Miku Takemasa, Yusuke Yamazaki, Akihiko Shirai<\/p>\n\n\n\n

SIGGRAPH Asia 2022 Posters, Dec 2022<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

Evaluation of time-shifted emotion through shared emoji reactions in a video watching experience<\/mark><\/a><\/strong><\/h2>\n\n\n\n

Yusuke Yamazaki, Takanori Horibe, Akihiko Shirai<\/p>\n\n\n\n

CyberWorld2022, Sep 2022<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

Global Search versus Local Search in Hyperparameter Optimization<\/mark><\/strong><\/a><\/h2>\n\n\n\n

Yoshihiko Ozaki, Shintaro Takenaga, Masaki Onishi<\/p>\n\n\n\n

2022 IEEE Congress on Evolutionary Computation (CEC), July 2022.<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

Multiobjective Tree-Structured Parzen Estimator<\/mark><\/strong><\/a><\/h2>\n\n\n\n

Yoshihiko Ozaki, Yuki Tanigaki, Shuhei Watanabe, Masahiro Nomura, Masaki Onishi<\/p>\n\n\n\n

Journal of Artificial Intelligence Research 73, 1209-1250, April 2022<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

\u30e1\u30bf\u30d0\u30fc\u30b9\u306e\u5b9a\u7fa9\uff0c\u6b74\u53f2\u3068\u4e8b\u4f8b\u304b\u3089\u307f\u308b \u4eca\u5f8c\u306e\u30d3\u30b8\u30cd\u30b9\u5c55\u671b<\/mark><\/a><\/strong><\/h2>\n\n\n\n

\u767d\u4e95\u6681\u5f66<\/p>\n\n\n\n

\u7814\u7a76\u958b\u767a\u30ea\u30fc\u30c0\u30fc Vol.19, No.1 2022, pp.57-60., April 2022<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

Metaverse Christmas<\/mark><\/a><\/strong><\/h2>\n\n\n\n

\u4e2d\u91ce\u53cb\u4ecb, \u52a0\u85e4\u7422\u78e8, \u6b66\u653f\u5b9f\u7396, \u5800\u90e8\u8cb4\u7d00, \u767d\u4e95\u6681\u5f66<\/p>\n\n\n\n

\u6620\u50cf\u8868\u73fe\u30fb\u82b8\u8853\u79d1\u5b66\u30d5\u30a9\u30fc\u30e9\u30e02022, Mar 2022<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

VibeShare::Maptop \u2013 \u5199\u771f\u64ae\u5f71\u30fb\u540c\u6642\u53c2\u52a0\u578b\u30d0\u30fc\u30c1\u30e3\u30eb\u65c5\u884c\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a\u3068\u8a55\u4fa1<\/mark><\/strong><\/a><\/h2>\n\n\n\n

\u5c71\u5d0e\u52c7\u7950, \u767d\u4e95\u6681\u5f66<\/p>\n\n\n\n

\u30a4\u30f3\u30bf\u30e9\u30af\u30b7\u30e7\u30f32022, Feb 2022<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

\u30dc\u30a4\u30b9\u30c1\u30a7\u30f3\u30b8\u30e3\u30fc\u30b5\u30fc\u30d3\u30b9\u306e\u7814\u7a76\u958b\u767a\u3092\u901a\u3057\u305f\u30a4\u30f3\u30bf\u30fc\u30f3\u306b\u3088\u308b\u6b21\u4e16\u4ee3\u4eba\u6750\u80b2\u6210(Developing next-generation creators through research and development in voice changer services)<\/mark><\/a><\/strong><\/h2>\n\n\n\n

\u767d\u4e95\u6681\u5f66, \u4e2d\u91ce\u53cb\u4ecb, \u5800\u90e8\u8cb4\u7d00<\/p>\n\n\n\n

\u30c7\u30b8\u30bf\u30eb\u30cf\u30ea\u30a6\u30c3\u30c9\u5927\u5b66 \u7814\u7a76\u7d00\u8981\u7b2c8\u53f7, Nov 2021<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

\u30d6\u30e9\u30c3\u30af\u30dc\u30c3\u30af\u30b9\u6700\u9069\u5316\u306b\u3088\u308b\u7d50\u6676\u69cb\u9020\u89e3\u6790\u306e\u81ea\u52d5\u5316<\/mark><\/a><\/strong><\/h2>\n\n\n\n

\u9234\u6728\u96c4\u592a\uff0c \u5c3e\u5d0e\u5609\u5f66\uff0c \u5c0f\u91ce\u5bdb\u592a<\/p>\n\n\n\n

\u89e6\u5a92= Catalysts & catalysis 63 (5), 294-298, Oct 2021<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

VibeShare::Performer \u2014 Emoji\u30fb\u89e6\u899a\u30fb\u97f3\u52b9\u306b\u3088\u308b\u30aa\u30f3\u30e9\u30a4\u30f3\u97f3\u697d\u30e9\u30a4\u30d6\u306e\u53cc\u65b9\u5411\u5316<\/mark><\/a><\/strong><\/h2>\n\n\n\n

\u5c71\u5d0e\u52c7\u7950(REALITY\/\u6771\u4eac\u5de5\u696d\u5927\u5b66\u5927\u5b66\u9662), \u767d\u4e95\u6681\u5f66(REALITY)<\/p>\n\n\n\n

\u7b2c26\u56de\u65e5\u672c\u30d0\u30fc\u30c1\u30e3\u30eb\u30ea\u30a2\u30ea\u30c6\u30a3\u5b66\u4f1a\u5927\u4f1a, Sep 2021<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

FFT \u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u5bfe\u8c61\u3068\u3057\u305f\u5b9f\u6642\u9593Vocoder \u306e\u901f\u5ea6\u6bd4\u8f03<\/mark><\/strong><\/a><\/h2>\n\n\n\n

\u5800\u90e8\u8cb4\u7d00(REALITY\/\u660e\u6cbb\u5927)\uff0c\u6a4b\u672c\u9806\u4e4b(\u30b0\u30ea\u30fc)\uff0c\u767d\u4e95\u6681\u5f66(REALITY)\uff0c\u68ee\u52e2\u5c06\u96c5(\u660e\u6cbb\u5927)<\/p>\n\n\n\n

\u65e5\u672c\u97f3\u97ff\u5b66\u4f1a2021\u5e74\u79cb\u5b63\u7814\u7a76\u767a\u8868\u4f1a, Sep 2021<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

Pseudo Real-Time Live Event: Virtualization for Nonverbal Live Entertainment and Sharing<\/mark><\/a><\/strong><\/h2>\n\n\n\n

Yusuke Yamazaki, Akihiko SHIRAI<\/p>\n\n\n\n

Laval Virtual 2021 ConVRgence, July 2021<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

MAS-Bench: Parameter Optimization Benchmark for Multi-agent Crowd Simulation<\/mark><\/strong><\/a><\/h2>\n\n\n\n

Shusuke Shigenaka, Shunki Takami, Shuhei Watanabe, Yuki Tanigaki, Yoshihiko Ozaki, and Masaki Onishi<\/p>\n\n\n\n

International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2021.<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

Graph Convolutional Network with Node Addition and Edge Reweighting for Semi-Supervised Learning<\/mark><\/a><\/h2>\n\n\n\n

Wen-Yu Lee<\/p>\n\n\n\n

1st International Workshop on Data-Efficient Machine Learning for Web Applications (DeMaL) World Wide Web Conference 2021, Apr 2021.<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

\u300e\u8ee2\u58f0\u3053\u3048\u3046\u3089\u306a\u3044\u300f\u3092\u901a\u3057\u305f\u30dc\u30a4\u30b9\u30c1\u30a7\u30f3\u30b8\u30e3\u30fc\u54c1\u8cea\u6539\u5584\u306e\u305f\u3081\u306e\u5b9a\u6027\u5206\u6790\u3068\u8003\u5bdf<\/mark><\/a><\/h2>\n\n\n\n

\u5800\u90e8\u8cb4\u7d00(REALITY\/\u660e\u6cbb\u5927)\uff0c\u767d\u4e95\u6681\u5f66(REALITY)\uff0c\u68ee\u52e2\u5c06\u96c5(\u660e\u6cbb\u5927)<\/p>\n\n\n\n

\u65e5\u672c\u97f3\u97ff\u5b66\u4f1a2021\u5e74\u6625\u5b63\u7814\u7a76\u767a\u8868\u4f1a, Mar 2021.<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

VibeShare:Vote \uff5e\u30aa\u30f3\u30e9\u30a4\u30f3\u3067\u306e\u51fa\u6f14\u8005\u3068\u89b3\u5ba2\u306e\u975e\u8a00\u8a9e\u30b3\u30df\u30e5\u30cb\u30b1\u30fc\u30b7\u30e7\u30f3\u306e\u5b9f\u73fe \uff5e<\/mark><\/a><\/h2>\n\n\n\n

\u5c71\u5d0e\u52c7\u7950\u30fb\u767d\u4e95\u6681\u5f66\uff08REALITY\uff09<\/p>\n\n\n\n

\u6620\u50cf\u8868\u73fe\u30fb\u82b8\u8853\u79d1\u5b66\u30d5\u30a9\u30fc\u30e9\u30e02021, Mar 2021<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

Warm Starting CMA-ES for Hyperparameter Optimization<\/mark><\/a><\/h2>\n\n\n\n

Masahiro Nomura, Shuhei Watanabe, Youhei Akimoto, Yoshihiko Ozaki, and Masaki Onishi<\/p>\n\n\n\n

The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), Feb 2021.<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

\u30d6\u30e9\u30c3\u30af\u30dc\u30c3\u30af\u30b9\u6700\u9069\u5316\u3092\u7528\u3044\u305f\u30ea\u30fc\u30c8\u30d9\u30eb\u30c8\u89e3\u6790\u306e\u81ea\u52d5\u5316<\/mark><\/a><\/h2>\n\n\n\n

\u9234\u2f4a\u96c4\u592a, \u5c3e\u5d0e\u5609\u5f66, \u2f7b\u5408\u5b5d\u2f42, \u2eeb\u85e4\u8015\u592a\u90ce, \u2f24\u2ec4\u6b63\u8f1d, \u2f29\u91ce\u5bdb\u592a<\/p>\n\n\n\n

\u7b2c34\u56de\u65e5\u672c\u653e\u5c04\u5149\u5b66\u4f1a\u5e74\u4f1a\u30fb\u653e\u5c04\u5149\u79d1\u5b66\u5408\u540c\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0, Jan 2021.<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

Evaluating Initialization of Nelder-Mead Method for Hyperparameter Optimization in Deep Learning<\/mark><\/a><\/h2>\n\n\n\n

Shintaro Takenaga, Shuhei Watanabe, Masahiro Nomura, Yoshihiko Ozaki, Masaki Onishi, and Hitoshi Habe<\/p>\n\n\n\n

International Conference on Pattern Recognition (ICPR), Jan 2021.<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

\u8a55\u4fa1\u30b3\u30b9\u30c8\u306e\u7570\u306a\u308b\u76ee\u7684\u95a2\u6570\u3092\u6301\u3064\u591a\u76ee\u7684\u6700\u9069\u5316\u306b\u3064\u3044\u3066\u306e\u691c\u8a0e<\/mark><\/a><\/h2>\n\n\n\n

\u8c37\u57a3\u52c7\u8f1d, \u5c3e\u5d0e\u5609\u5f66, \u5927\u897f\u6b63\u8f1d<\/p>\n\n\n\n

\u9032\u5316\u8a08\u7b97\u30b7\u30f3\u30dd\u30b8\u30a6\u30e02020, Dec 2020.<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n\n\n\n\n
\n

Web3D Distance live workshop for children in Mozilla Hubs<\/mark><\/a><\/h2>\n\n\n\n

Liudmila Bredikhina, Toya Sakaguchi, Akihiko Shirai<\/p>\n\n\n\n

Web3D \u201920: The 25th International Conference on 3D Web Technology, 9th, November 2020, Article No. 27, Pages 1\u20132<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

\u4ea4\u6d41\u578bWebVR\u306b\u304a\u3051\u308b\u7a7a\u9593\u97f3\u97ff\u306e\u30aa\u30f3\u30e9\u30a4\u30f3\u8a55\u4fa1\u624b\u6cd5<\/mark><\/a><\/h2>\n\n\n\n

\u5742\u53e3\u5854\u4e5f, \u5c71\u5d0e\u52c7\u7950, Bredikhina Liudmila, \u767d\u4e95\u6681\u5f66<\/p>\n\n\n\n

\u7b2c25\u56de\u65e5\u672c\u30d0\u30fc\u30c1\u30e3\u30eb\u30ea\u30a2\u30ea\u30c6\u30a3\u5b66\u4f1a\u5927\u4f1a\u8ad6\u6587\u96c6, 2020-9-16<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

\u6a5f\u68b0\u5b66\u7fd2\u306b\u304a\u3051\u308b\u30cf\u30a4\u30d1\u30d1\u30e9\u30e1\u30fc\u30bf\u6700\u9069\u5316\u624b\u6cd5\uff1a\u6982\u8981\u3068\u7279\u5fb4<\/mark><\/a><\/h2>\n\n\n\n

\u5c3e\u5d0e\u5609\u5f66, \u91ce\u6751\u5c06\u5bdb, \u5927\u897f\u6b63\u8f1d<\/p>\n\n\n\n

\u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u8ad6\u6587\u8a8c, vol.J103-D, No.9, pp.615-631, Sep. 2020.<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

\u300e\u8ee2\u58f0\u3053\u3048\u3046\u3089\u306a\u3044\u300f\u5229\u7528\u8005\u306e\u57fa\u672c\u5468\u6ce2\u6570\u5206\u6790<\/mark><\/a><\/h2>\n\n\n\n

\u5800\u90e8 \u8cb4\u7d00, \u77f3\u539f \u9054\u99ac, \u767d\u4e95 \u6681\u5f66, \u68ee\u52e2 \u5c06\u96c5<\/p>\n\n\n\n

\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u7814\u7a76\u5831\u544a, 2020-5-30<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

Automated crystal structure analysis based on blackbox optimisation<\/mark><\/a><\/h2>\n\n\n\n

Yoshihiko Ozaki, Yuta Suzuki, Takafumi Hawai, Kotaro Saito, Masaki Onishi, and Kanta Ono<\/p>\n\n\n\n

npj Computational Materials 6, 75 (2020).<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

Attention-Based Speaker Embeddings for One-Shot Voice Conversion<\/mark><\/a><\/h2>\n\n\n\n

Tatsuma Ishihara, Daisuke Saito<\/p>\n\n\n\n

INTERSPEECH 2020<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

Multiobjective Tree-structured Parzen Estimator for Computationally Expensive Optimization Problems<\/mark><\/a><\/h2>\n\n\n\n

Yoshihiko Ozaki, Yuki Tanigaki, Shuhei Watanabe, and Masaki Onishi<\/p>\n\n\n\n

The Genetic and Evolutionary Computation Conference (GECCO) 2020<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

Evolutionary Multiobjective Optimization for Pedestrian Route Guidance with Multiple Scenarios<\/mark><\/a><\/h2>\n\n\n\n

Yuki Tanigaki, Yoshihiko Ozaki, Shusuke Shigenaka and Masaki Onishi<\/p>\n\n\n\n

IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE (WCCI) 2020<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

\u6df1\u5c64\u5b66\u7fd2\u306e\u30cf\u30a4\u30d1\u30d1\u30e9\u30e1\u30fc\u30bf\u6700\u9069\u5316\u306b\u304a\u3051\u308b Nelder-Mead \u6cd5\u306e\u521d\u671f\u5024\u8a55\u4fa1<\/mark><\/a><\/h2>\n\n\n\n

\u7af9\u9577 \u614e\u592a\u6717 , \u6e21\u908a \u4fee\u5e73 , \u91ce\u6751 \u5c06\u5bdb , \u5c3e\u5d0e \u5609\u5f66 , \u5927\u897f \u6b63\u8f1d , \u6ce2\u90e8 \u6589<\/p>\n\n\n\n

\u7814\u7a76\u5831\u544a\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30d3\u30b8\u30e7\u30f3\u3068\u30a4\u30e1\u30fc\u30b8\u30e1\u30c7\u30a3\u30a2\uff08CVIM\uff09,2020-CVIM-221(28),1-6 (2020-03-09) , 2188-8701<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

\u30de\u30eb\u30c1\u30a8\u30fc\u30b8\u30a7\u30f3\u30c8\u30b7\u30b9\u30c6\u30e0\u306b\u57fa\u3065\u304f\u4eba\u6d41\u8a98\u5c0e\u306e\u591a\u76ee\u7684\u6700\u9069\u5316<\/mark><\/a><\/h2>\n\n\n\n

\u8c37\u57a3\u52c7\u8f1d, \u5c3e\u5d0e\u5609\u5f66, \u91cd\u4e2d\u79c0\u4ecb, \u5927\u897f\u6b63\u8f1d<\/p>\n\n\n\n

\u7b2c13\u56de\u9032\u5316\u8a08\u7b97\u30b7\u30f3\u30dd\u30b8\u30a6\u30e02019\u8b1b\u6f14\u8ad6\u6587\u96c6, pp.284-288, Dec 2019.<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

\u9ad8\u8a08\u7b97\u30b3\u30b9\u30c8\u95a2\u6570\u306e\u305f\u3081\u306e\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306e\u591a\u76ee\u7684\u62e1\u5f35<\/mark><\/a><\/h2>\n\n\n\n

\u5c3e\u5d0e\u5609\u5f66, \u8c37\u57a3\u52c7\u8f1d, \u5927\u897f\u6b63\u8f1d<\/p>\n\n\n\n

\u7b2c13\u56de\u9032\u5316\u8a08\u7b97\u30b7\u30f3\u30dd\u30b8\u30a6\u30e02019\u8b1b\u6f14\u8ad6\u6587\u96c6, pp.101-106, Dec 2019.<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

Warm Starting Method for CMA-ES<\/mark><\/a><\/h2>\n\n\n\n

Masahiro Nomura, Shuhei Watanabe, Yoshihiko Ozaki, Masaki Onishi<\/p>\n\n\n\n

Workshop on Meta-Learning (MetaLearn 2019) @NeurIPS 2019<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

Speeding up of the Nelder-Mead Method by Data-driven Speculative Execution<\/mark><\/a><\/h2>\n\n\n\n

Shuhei Watanabe, Yoshihiko Ozaki, Yoshiaki Bando and Masaki Onishi<\/p>\n\n\n\n

The 5th Asian Conference on Pattern Recognition (ACPR 2019), Nov 2019<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

Towards Hasktorch 1.0: Automated Generation of C++ Libtorch Bindings (extended abstract)<\/mark><\/a><\/h2>\n\n\n\n

Junji Hashimoto(GREE, Inc.), Autsin Huang, Sam Stites(Sentenai)<\/p>\n\n\n\n

ICFP 2019, Aug 2019.<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

\u30bf\u30fc\u30f3\u5236\u30b3\u30de\u30f3\u30c9\u30d0\u30c8\u30eb\u306b\u304a\u3051\u308b\u5f37\u5316\u5b66\u7fd2\u52b9\u7387\u5316<\/mark><\/a><\/h2>\n\n\n\n

\u8fbb\u672c \u8cb4\u662d , \u5c3e\u5d0e \u5609\u5f66 , \u68ee\u7530 \u60f3\u5e73<\/p>\n\n\n\n

\u7814\u7a76\u5831\u544a\u30b2\u30fc\u30e0\u60c5\u5831\u5b66\uff08GI\uff09,2019-GI-42(11),1-7 (2019-07-12) , 2188-8736<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

Practical Deep Neural Network Performance Prediction for Hyperparameter Optimization<\/mark><\/a><\/h2>\n\n\n\n

Yoshihiko Ozaki and Masaki Onishi - AI Research Center, AIST & GREE, INC<\/p>\n\n\n\n

The Third International Workshop on Automation in Machine Learning (KDD AutoML 2019 Workshop), Aug 2019.<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

Effectiveness of facial animated avatar and voice transformer in elearning programming course<\/mark><\/a><\/h2>\n\n\n\n

Rex Hsieh, Akihiko Shirai, and Hisashi Sato.<\/p>\n\n\n\n

In ACM SIGGRAPH 2019 Posters (SIGGRAPH '19). Association for Computing Machinery, New York, NY, USA, Article 82, 1\u20132.<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

Neck strap haptics: an algorithm for non-visible VR information using haptic perception on the neck<\/mark><\/a><\/h2>\n\n\n\n

Yusuke Yamazaki, Shoichi Hasegawa, Hironori Mitake, and Akihiko Shirai.<\/p>\n\n\n\n

In ACM SIGGRAPH 2019 Posters (SIGGRAPH '19). Association for Computing Machinery, New York, NY, USA, Article 60, 1\u20132.<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

REALITY: broadcast your virtual beings from everywhere<\/mark><\/a><\/h2>\n\n\n\n

Akihiko Shirai<\/p>\n\n\n\n

In ACM SIGGRAPH 2019 Appy Hour (SIGGRAPH '19). Association for Computing Machinery, New York, NY, USA, Article 5, 1\u20132.<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

Evaluation of Avatar and Voice Transform in Programming E-Learning Lectures<\/mark><\/a><\/h2>\n\n\n\n

Rex Hsieh(Kanagawa Institute of Technology), Hisashi Sato(Kanagawa Institute of Technology), Akihiko Shirai(GREE VR Studio Lab, GREE, Inc.)<\/p>\n\n\n\n

the 19th ACM International Conference on Intelligent Virtual Agents, Jul 2019.<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n\n\n\n\n
\n

Accelerating the Nelder\u2013Mead Method with Predictive Parallel Evaluation<\/mark><\/a><\/h2>\n\n\n\n

Yoshihiko Ozaki(AI Research Center, AIST & GREE, Inc.), Shuhei Watanabe(AI Research Center, AIST & The University of Tokyo), Masaki Onishi(AI Research Center, AIST)<\/p>\n\n\n\n

6th ICML Workshop on Automated Machine Learning, Jun 2019.<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

Evaluation of Optimization for Pedestrian Route Guidance in Real-world Crowded Scene<\/mark><\/a><\/h2>\n\n\n\n

Shusuke Shigenaka(AI Research Center, AIST), Shunki Takami( University of Tsukuba), Yoshihiko Ozaki(AI Research Center, AIST & GREE, Inc.), Masaki Onishi(AI Research Center, AIST), Tomohisa Yamashita(Hokkaido University), and Itsuki Noda(AI Research Center, AIST)<\/p>\n\n\n\n

International Conference on Autonomous Agents and Multiagent Systems (AAMAS), pp.2192-2194, May 2019.<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

\u30ea\u30ec\u30fc\u30b3\u30e9\u30e0\uff1aVR3.0\u21924.0\u306e\u9593\u306b\u54b2\u3044\u305fVTuber\u3068\u3044\u3046\u65b0\u4eba\u985e\u306e\u7814\u7a76<\/mark><\/a><\/h2>\n\n\n\n

\u767d\u4e95 \u6681<\/em><\/em>\u5f66<\/p>\n\n\n\n

\u60c5\u5831\u51e6\u7406 ,60(3),286 - 286 (2019-02-15)<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

Nelder-Mead\u6cd5\u306e\u4e26\u5217\u5316\u306b\u3088\u308b\u8b58\u5225\u5668\u306e\u30cf\u30a4\u30d1\u30d1\u30e9\u30e1\u30fc\u30bf\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0\u306e\u9ad8\u901f\u5316<\/mark><\/a><\/h2>\n\n\n\n

\u6e21\u908a \u4fee\u5e73(\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240\u4eba\u5de5\u77e5\u80fd\u7814\u7a76\u30bb\u30f3\u30bf\u30fc\uff0f\u6771\u4eac\u5927\u5b66\u5de5\u5b66\u90e8\u30b7\u30b9\u30c6\u30e0\u5275\u6210\u5b66\u79d1 ), \u5c3e\u5d0e \u5609\u5f66(\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240\u4eba\u5de5\u77e5\u80fd\u7814\u7a76\u30bb\u30f3\u30bf\u30fc\uff0f\u30b0\u30ea\u30fc\u682a\u5f0f\u4f1a\u793e), \u5927\u897f \u6b63\u8f1d(\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240\u4eba\u5de5\u77e5\u80fd\u7814\u7a76\u30bb\u30f3\u30bf\u30fc)<\/p>\n\n\n\n

\u7814\u7a76\u5831\u544a\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30d3\u30b8\u30e7\u30f3\u3068\u30a4\u30e1\u30fc\u30b8\u30e1\u30c7\u30a3\u30a2\uff08CVIM\uff09, Jan 2019.<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

Long Short-Term Memory\u30a2\u30f3\u30b5\u30f3\u30d6\u30eb\u306b\u3088\u308b\u5b66\u7fd2\u66f2\u7dda\u306e\u4e88\u6e2c<\/mark><\/a><\/h2>\n\n\n\n

\u5c3e\u5d0e\u5609\u5f66; \u5927\u897f\u6b63\u8f1d (\u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240\u30fb\u30b0\u30ea\u30fc\u682a\u5f0f\u4f1a\u793e; \u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240)<\/p>\n\n\n\n

\u7b2c21\u56de\u60c5\u5831\u8ad6\u7684\u5b66\u7fd2\u7406\u8ad6\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7 (IBIS2018), D2-65, Nov 2018.<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

\u30ea\u30ab\u30ec\u30f3\u30c8\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u304a\u3051\u308b\u30cf\u30a4\u30d1\u30d1\u30e9\u30e1\u30fc\u30bf\u306e\u6700\u9069\u5316\u3068\u5206\u6790<\/mark><\/a><\/h2>\n\n\n\n

\u5de5\u85e4\u4e00\u8f1d; \u5c3e\u5d0e\u5609\u5f66; \u5927\u897f\u6b63\u8f1d; \u4e00\u8272\u525b (\u6771\u4eac\u5de5\u696d\u5927\u5b66; \u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240\u30fb\u30b0\u30ea\u30fc\u682a\u5f0f\u4f1a\u793e; \u7523\u696d\u6280\u8853\u7dcf\u5408\u7814\u7a76\u6240; \u6771\u4eac\u5de5\u696d\u5927\u5b66)<\/p>\n\n\n\n

\u7b2c21\u56de\u60c5\u5831\u8ad6\u7684\u5b66\u7fd2\u7406\u8ad6\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7 (IBIS2018), D1-56, Nov 2018.<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u306e\u30cf\u30a4\u30d1\u30d1\u30e9\u30e1\u30fc\u30bf\u6700\u9069\u5316<\/mark><\/a><\/h2>\n\n\n\n

\u5c3e\u5d0e \u5609\u5f66<\/p>\n\n\n\n

\u753b\u50cf\u306e\u8a8d\u8b58\u30fb\u7406\u89e3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 (MIRU2018) \u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb, Aug 2018.<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

\u578b\u30c1\u30a7\u30c3\u30af\u306e\u30a2\u30ce\u30c6\u30fc\u30b7\u30e7\u30f3\u306b\u3088\u308b\u4fdd\u5b88\u30fb\u904b\u7528\u306e\u6539\u5584<\/mark><\/a><\/h2>\n\n\n\n

\u6a4b\u672c \u9806\u4e4b<\/p>\n\n\n\n

\u65e5\u672c\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u79d1\u5b66\u4f1a\u7b2c 35 \u56de\u5927\u4f1a, Aug 2018.<\/p>\n<\/div>\n\n\n\n

<\/div>\n\n\n\n
\n

GREE\u306b\u304a\u3051\u308b\u30a4\u30f3\u30d5\u30e9\u30b9\u30c8\u30e9\u30af\u30c1\u30e3\u306e\u30b5\u30fc\u30d3\u30b9\u5316\u3068\u305d\u306e\u610f\u7fa9<\/mark><\/a><\/h2>\n\n\n\n

\u85e4\u672c \u771f\u6a39<\/p>\n\n\n\n

\u30c7\u30b8\u30bf\u30eb\u30d7\u30e9\u30af\u30c6\u30a3\u30b9,5(4),291 - 299 (2014-10-15) , 2188-4390<\/p>\n<\/div>\n\n\n\n

<\/div>\n","protected":false},"excerpt":{"rendered":"

Cross-platforming \u201cSchool life metaverse\u201d user experience Takuma Kato, Tomosuke Nakano, Takanori Horibe, Miku […]<\/p>\n","protected":false},"author":234,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-21712","page","type-page","status-publish","has-post-thumbnail","hentry"],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/labs.gree.jp\/blog\/wp-json\/wp\/v2\/pages\/21712","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/labs.gree.jp\/blog\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/labs.gree.jp\/blog\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/labs.gree.jp\/blog\/wp-json\/wp\/v2\/users\/234"}],"replies":[{"embeddable":true,"href":"https:\/\/labs.gree.jp\/blog\/wp-json\/wp\/v2\/comments?post=21712"}],"version-history":[{"count":2,"href":"https:\/\/labs.gree.jp\/blog\/wp-json\/wp\/v2\/pages\/21712\/revisions"}],"predecessor-version":[{"id":22304,"href":"https:\/\/labs.gree.jp\/blog\/wp-json\/wp\/v2\/pages\/21712\/revisions\/22304"}],"wp:attachment":[{"href":"https:\/\/labs.gree.jp\/blog\/wp-json\/wp\/v2\/media?parent=21712"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}