2 citations · 3 across the 4 of their papers we have counts for
4 papers
PhraseCut: Language-based Image Segmentation in the Wild
Chenyun Wu, Zhe Lin, Scott Cohen +2
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 i…
Describing Textures using Natural Language
Chenyun Wu, Mikayla Timm, Subhransu Maji
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 pap…
Visualizing and Describing Fine-grained Categories as Textures
Tsung-Yu Lin, Mikayla Timm, Chenyun Wu +1
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…
Reasoning about Fine-grained Attribute Phrases using Reference Games
Jong-Chyi Su, Chenyun Wu, Huaizu Jiang +1
We present a framework for learning to describe fine-grained visual differences between instances using attribute phrases. Attribute phrases capture distinguishing aspects of an ob…