過去のお知らせ
IEEE ICIP 2022にてメディアダイナミクス研究室より7件の発表を行いました！
世界トップの画像処理系国際会議The 29th IEEE International Conference on Image Processing (IEEE ICIP)にて当研究室から以下の7件の発表を行いました。①Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:IMPROVING MODEL ADAPTATION FOR SEMANTIC SEGMENTATION BY LEARNING MODEL-INVARIANT FEATURES WITH MULTIPLE SOURCE-DOMAIN MODELS②Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:ASSESSMENT OF IMAGE MANIPULATION USING NATURAL LANGUAGE DESCRIPTION: QUANTIFICATION OF MANIPULATION DIRECTION③Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:GCN-BASED MULTI-MODAL MULTI-LABEL ATTRIBUTE CLASSIFICATION IN ANIME ILLUSTRATION USING DOMAIN-SPECIFIC SEMANTIC FEATURES④Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:GAUSSIAN DISTRIBUTED GRAPH CONSTRAINED MULTI-MODAL GAUSSIAN PROCESS LATENT VARIABLE MODEL FOR ORDINAL LABELED DATA⑤Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:FEW-SHOT PERSONALIZED SALIENCY PREDICTION WITH SIMILARITY OF GAZE TENDENCY USING OBJECT-BASED STRUCTURAL INFORMATION⑥Yuhu Feng, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:HUMAN-CENTRIC IMAGE RETRIEVAL WITH GAZE-BASED IMAGE CAPTIONING⑦Yingrui Ye, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:VISUAL SENTIMENT PREDICTION USING CROSS-WAY FEW-SHOT LEARNING BASED ON KNOWLEDGE DISTILLATION
