Josiah Wang — accepted AI-conference papers

2019

Phrase Localization Without Paired Training Examples

ICCV 2019oral

Localizing phrases in images is an important part of image understanding and can be useful in many applications that require mappings between textual and visual information. Existing work attempts to learn these mappings from examples of phrase-image region correspondences (strong supervision) or fr…

Cited by 47 PDF ↗code ↗Scholar ↗

2016

Large Scale Semi-Supervised Object Detection Using Visual and Semantic Knowledge Transfer

Yuxing Tang, Josiah Wang, Boyang Gao, Emmanuel Dellandrea, Robert Gaizauskas, Liming Chen

CVPR 2016poster

Deep CNN-based object detection systems have achieved remarkable success on several large-scale object detection benchmarks. However, training such detectors requires a large number of labeled bounding boxes, which are more difficult to obtain than image-level annotations. Previous work addresses th…

Cited by 173 PDF ↗Scholar ↗