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ICCV
2011
IEEE
14 years 5 months ago
Human Action Recognition by Learning Bases of Action Attributes and Parts
In this work, we propose to use attributes and parts for recognizing human actions in still images. We define action attributes as the verbs that describe the properties of human...
Bangpeng Yao, Xiaoye Jiang, Aditya Khosla, Andy La...
ICCV
2011
IEEE
14 years 5 months ago
Predicting Occupation via Human Clothing and Contexts
Predicting human occupations in photos has great application potentials in intelligent services and systems. However, using traditional classification methods cannot reliably dis...
Zheng Song, Meng Wang, Xian-Sheng Hua, Shuicheng Y...
ICCV
2011
IEEE
14 years 5 months ago
Visual Word Disambiguation by Semantic Contexts
This paper presents a novel schema to address the polysemy of visual words in the widely used bag-of-words model. As a visual word may have multiple meanings, we show it is possib...
Yu Su, Frederic Jurie
ICCV
2011
IEEE
14 years 5 months ago
Annotator Rationales for Visual Recognition
Traditional supervised visual learning simply asks annotators “what” label an image should have. We propose an approach for image classification problems requiring subjective...
Jeff Donahue, Kristen Grauman
ICCV
2011
IEEE
14 years 5 months ago
Building a better probabilistic model of images by factorization
We describe a directed bilinear model that learns higherorder groupings among features of natural images. The model represents images in terms of two sets of latent variables: one...
Jack Culpepper, Jascha Sohl-Dickstein, Bruno Olaha...