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pro vyhledávání: '"Sun, Di"'
Grounded Multimodal Named Entity Recognition (GMNER) task aims to identify named entities, entity types and their corresponding visual regions. GMNER task exhibits two challenging attributes: 1) The tenuous correlation between images and text on soci
Externí odkaz:
http://arxiv.org/abs/2406.07268
Video text spotting (VTS) aims to simultaneously localize, recognize and track text instances in videos. To address the limited recognition capability of end-to-end methods, recent methods track the zero-shot results of state-of-the-art image text sp
Externí odkaz:
http://arxiv.org/abs/2405.19194
Grounded Multimodal Named Entity Recognition (GMNER) is a nascent multimodal task that aims to identify named entities, entity types and their corresponding visual regions. GMNER task exhibits two challenging properties: 1) The weak correlation betwe
Externí odkaz:
http://arxiv.org/abs/2402.09989
Multimodal Named Entity Recognition (MNER) on social media aims to enhance textual entity prediction by incorporating image-based clues. Existing studies mainly focus on maximizing the utilization of pertinent image information or incorporating exter
Externí odkaz:
http://arxiv.org/abs/2305.12212
This paper investigated the friction-induced vibration (FIV) behavior under the running-in process with oil lubrication. The FIV signal with periodic characteristics under lubrication was identified with the help of the squeal signal induced in an oi
Externí odkaz:
http://arxiv.org/abs/2111.07914
Autor:
Sun, Di "Chelsea", Melkote, Vaishnavi, Arif, Ahmed Sabbir
Publikováno v:
Extended Abstracts of the 19th ACM International Conference on Interaction Design and Children (IDC 2020)
As social media are becoming increasingly popular among young children, it is important to explore this population's needs and requirements from these platforms. As a first step to this, we conducted an exploratory design workshop with children aged
Externí odkaz:
http://arxiv.org/abs/2006.14654