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of 12
pro vyhledávání: '"Baharlou, Sina Moayed"'
Plasmonic nanoantennas with suitable far-field characteristics are of huge interest for utilization in optical wireless links, inter-/intra-chip communications, LiDARs, and photonic integrated circuits due to their exceptional modal confinement. Desp
Externí odkaz:
http://arxiv.org/abs/2407.03607
Autor:
Kougia, Vasiliki, Fetzel, Simon, Kirchmair, Thomas, Çano, Erion, Baharlou, Sina Moayed, Sharifzadeh, Sahand, Roth, Benjamin
Memes are a popular form of communicating trends and ideas in social media and on the internet in general, combining the modalities of images and text. They can express humor and sarcasm but can also have offensive content. Analyzing and classifying
Externí odkaz:
http://arxiv.org/abs/2305.18391
Training scene graph classification models requires a large amount of annotated image data. Meanwhile, scene graphs represent relational knowledge that can be modeled with symbolic data from texts or knowledge graphs. While image annotation demands e
Externí odkaz:
http://arxiv.org/abs/2102.04760
A major challenge in scene graph classification is that the appearance of objects and relations can be significantly different from one image to another. Previous works have addressed this by relational reasoning over all objects in an image or incor
Externí odkaz:
http://arxiv.org/abs/2011.10084
Visual relation detection methods rely on object information extracted from RGB images such as 2D bounding boxes, feature maps, and predicted class probabilities. We argue that depth maps can additionally provide valuable information on object relati
Externí odkaz:
http://arxiv.org/abs/1905.00966
Akademický článek
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Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:2189-2197
Training scene graph classification models requires a large amount of annotated image data. Meanwhile, scene graphs represent relational knowledge that can be modeled with symbolic data from texts or knowledge graphs. While image annotation demands e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37eb4b4e051df77b39c8661485ad15d6
https://doi.org/10.1609/aaai.v36i2.20116
https://doi.org/10.1609/aaai.v36i2.20116
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:5025-5033
A major challenge in scene graph classification is that the appearance of objects and relations can be significantly different from one image to another. Previous works have addressed this by relational reasoning over all objects in an image or incor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98b5ba2c5fdbaf7f7d5cbe856efa48da
https://doi.org/10.1609/aaai.v35i6.16636
https://doi.org/10.1609/aaai.v35i6.16636
Akademický článek
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Publikováno v:
2015 2nd International Conference on Pattern Recognition & Image Analysis (IPRIA); 2015, p1-6, 6p