Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Wu, Chenyun"'
Autor:
Wu, Chenyun, Maji, Subhransu
We investigate how well CLIP understands texture in natural images described by natural language. To this end, we analyze CLIP's ability to: (1) perform zero-shot learning on various texture and material classification datasets; (2) represent composi
Externí odkaz:
http://arxiv.org/abs/2203.11449
Textures in natural images can be characterized by color, shape, periodicity of elements within them, and other attributes that can be described using natural language. In this paper, we study the problem of describing visual attributes of texture on
Externí odkaz:
http://arxiv.org/abs/2008.01180
We consider the problem of segmenting image regions given a natural language phrase, and study it on a novel dataset of 77,262 images and 345,486 phrase-region pairs. Our dataset is collected on top of the Visual Genome dataset and uses the existing
Externí odkaz:
http://arxiv.org/abs/2008.01187
We analyze how categories from recent FGVC challenges can be described by their textural content. The motivation is that subtle differences between species of birds or butterflies can often be described in terms of the texture associated with them an
Externí odkaz:
http://arxiv.org/abs/1907.05288
We present a framework for learning to describe fine-grained visual differences between instances using attribute phrases. Attribute phrases capture distinguishing aspects of an object (e.g., "propeller on the nose" or "door near the wing" for airpla
Externí odkaz:
http://arxiv.org/abs/1708.08874
Akademický článek
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Autor:
Wu, Chenyun1,2 (AUTHOR) chenyun.wu@estaca.fr, Sehab, Rabia1 (AUTHOR) rabia.sehab@estaca.fr, Akrad, Ahmad1 (AUTHOR) ahmad.akrad@estaca.fr, Morel, Cristina1 (AUTHOR) cristina.morel@estaca.fr
Publikováno v:
Energies (19961073). Jul2022, Vol. 15 Issue 13, p4840-N.PAG. 7p.
Autor:
Fang, Yan, Wu, Chenyun, Chen, Qing, Wu, Jianhua, Yang, Yang, Guo, Xiaokui, Chen, Guangjie, Wang, Zhaojun
Publikováno v:
In Acta Tropica September 2015 149:49-58
Akademický článek
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Autor:
Wu, Chenyun
A joint understanding of vision and language can enable intelligent systems to perceive, act, and communicate with humans for a wide range of applications. For example, they can assist a human to navigate in an environment, edit the content of an ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01c2acfe08951313082e5ed95708e8da