過去のお知らせ
IEEE ICIP 2022に当研究室の論文7件が採択されました！
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、開催地：FRANCE BORDEAUX、採択率：45%)に当研究室から投稿した以下の7件の論文が採択されました。
①
Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama:
IMPROVING MODEL ADAPTATION FOR SEMANTIC SEGMENTATION BY LEARNING MODEL-INVARIANT FEATURES WITH MULTIPLE SOURCE-DOMAIN MODELS
②
Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
ASSESSMENT OF IMAGE MANIPULATION USING NATURAL LANGUAGE DESCRIPTION: QUANTIFICATION OF MANIPULATION DIRECTION
③
Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
GCN-BASED MULTI-MODAL MULTI-LABEL ATTRIBUTE CLASSIFICATION IN ANIME ILLUSTRATION USING DOMAIN-SPECIFIC SEMANTIC FEATURES
④
Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
GAUSSIAN DISTRIBUTED GRAPH CONSTRAINED MULTI-MODAL GAUSSIAN PROCESS LATENT VARIABLE MODEL FOR ORDINAL LABELED DATA
⑤
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
FEW-SHOT PERSONALIZED SALIENCY PREDICTION WITH SIMILARITY OF GAZE TENDENCY USING OBJECT-BASED STRUCTURAL INFORMATION
⑥
Yuhu Feng, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
HUMAN-CENTRIC IMAGE RETRIEVAL WITH GAZE-BASED IMAGE CAPTIONING
⑦
Yingrui Ye, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
VISUAL SENTIMENT PREDICTION USING CROSS-WAY FEW-SHOT LEARNING BASED ON KNOWLEDGE DISTILLATION
