Artifact Removal Using Attention Guided Local-Global Dual-Stream Network for Sparse-View CT Reconstruction Chang SUNYitong LIUHongwen YANG
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2024/08/01 Vol. E107-DNo. 8 ;
pp. 1105-1109 Type of Manuscript: LETTER Category: Biological Engineering Keyword: artifact removal, sparse-view CT, dual-stream, attention,
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2024/01/01 Vol. E107-DNo. 1 ;
pp. 49-52 Type of Manuscript: Special Section LETTER (Special Section on Enriched Multimedia — Media technologies opening up the future —) Category: Keyword: cover song, music retrieval, CQT, convolutional neural network, attention,
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2022/08/01 Vol. E105-ANo. 8 ;
pp. 1170-1174 Type of Manuscript: LETTER Category: Image Keyword: person re-identification, clothing-changing, attention,
A Two-Stage Approach for Fine-Grained Visual Recognition via Confidence Ranking and Fusion Kangbo SUNJie ZHU
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2020/12/01 Vol. E103-DNo. 12 ;
pp. 2693-2700 Type of Manuscript: PAPER Category: Image Recognition, Computer Vision Keyword: fine-grained, object location, attention, bilinear pooling, deep learning,
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2019/12/01 Vol. E102-DNo. 12 ;
pp. 2577-2586 Type of Manuscript: PAPER Category: Image Recognition, Computer Vision Keyword: recognition, attention, fine-grained, deep learning,
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2018/04/01 Vol. E101-DNo. 4 ;
pp. 847-855 Type of Manuscript: Special Section PAPER (Special Section on Intelligent Information and Communication Technology and its Applications to Creative Activity Support) Category: Creativity Support Systems and Decision Support Systems Keyword: large-scale cyber-physical discussion, COLLAGREE, satisfaction, attention, collective intelligence,