NEWS お知らせ

(1) Nao Nakagawa, Ren Togo, Takahiro Ogawa, Miki Haseyama, “INTERPRETABLE REPRESENTATION LEARNING ON NATURAL IMAGE DATASETS VIA RECONSTRUCTION IN VISUAL-SEMANTIC EMBEDDING SPACE”
(2) Yun Liang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama, “DEEP METRIC NETWORK VIA HETEROGENIOUS SEMANTICS FOR IMAGE SENTIMENT ANALYSIS”
(3) Tomoki Haruyama, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama, “SEGMENTATION-AWARE TEXT-GUIDED IMAGE MANIPULATION”
(4) Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama, “TIME-LAG AWARE MULTI-MODAL VARIATIONAL AUTOENCODER USING BASEBALL VIDEOS AND TWEETS FOR PREDICTION OF IMPORTANT SCENES”
(5) Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama, “INTEREST LEVEL ESTIMATION VIA MULTI-MODAL GAUSSIAN PROCESS LATENT VARIABLE FACTORIZATION”
(6) Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama, “CORRELATION-AWARE ATTENTION BRANCH NETWORK USING MULTI-MODAL DATA FOR DETERIORATION LEVEL ESTIMATION OF INFRASTRUCTURES”
(7) Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama, “CROSS-DOMAIN RECOMMENDATIN METHOD BASED ON MULTI-LAYER GRAPH ANALYSIS WITH VISUAL INFORMATIN”
(8) Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama, “FEW-SHOT PERSONALIZED SALIENCY PREDICTION USING PERSON SIMILARITY BASED ON COLLABORATIVE MULTI-OUTPUT GAUSSIAN PROCESS REGRESSION”

https://2021.ieeeicip.org/

当研究室、博士学生諸戸君、修士学生高田さんが受賞しています。
改めましておめでとうございます！

※ 写真撮影時のみマスクを外しています。

https://ja-jp.facebook.com/hokkaidoUniv.lmd/photos/a.1421862031376064/3007454469483471/

2020年にITE Transactions on Media Technology and Applicationsに掲載された以下の論文が、映像情報メディア学会 丹羽高柳賞論文賞を受賞しました。
Tomoki Haruyama, Sho Takahashi, Takahiro Ogawa, Miki Haseyama: “Multimodal Important Scene Detection in Far-view Soccer Videos Based on Single Deep Neural Architecture,” ITE Transactions on Media Technology and Applications, vol. 8, no. 2, pp. 89-99 (2020)
https://www.jstage.jst.go.jp/…/8/2/8_89/_article/-char/ja/

当研究室から投稿していた以下の画像検索に関する成果が、マルチメディアコンテンツ検索における最高峰の国際会議 ACM International Conference on Multimedia Retrieval 2021 (ACM ICMR 2021) に採録されました！
– Rintaro Yanagi, Ren Togo, Takahiro Ogawa and Miki Haseyama, “IR Questioner: QA-based Interactive Retrieval System,” ACM ICMR, 2021. (Accepted)
http://icmr2021.org/index.html

2021年3月9日～11日に奈良で開催された国際会議The 2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech 2021)での発表について以下の2件が受賞しました。
(1)
Student Awards for Oral Presentation
2nd Prize, IEEE LifeTech 2021 Excellent Student Paper Award for Oral Presentation
Saya Takada, Ren Togo, Takahiro Ogawa and Miki Haseyama (Hokkaido University, Japan):
“Question Answering from Brain Activity Data via Decoder Based on Neural Networks”
(2)
Awards for On-site Poster Presentation
3rd Prize, IEEE LifeTech 2021 Excellent Paper Award for On-site Poster Presentation
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa and Miki Haseyama (Hokkaido University, Japan):
“Human Emotion Estimation Using Multi-Modal Variational Auto Encoder with Time Changes”
(2)については、既に会場にて受賞が発表されています。
おめでとうございます！
http://www.ieee-lifetech.org/2021/awards.html

誠におめでとうございます！