This is an opinion paper about the strengths and weaknesses of Deep Nets for vision. They
are at the heart of the enormous recent progress in artificial intelligence and are of growing …

The fine-grained action analysis of the existing action datasets is challenged by insufficient
action categories, low fine granularities, limited modalities, and tasks. In this paper, we …

In this paper, we present a Nuisance-label Supervision (NLS) module, which can make
models more robust to nuisance factor variations. Nuisance factors are those irrelevant to a …

Computer vision researchers spent a lot of time creating large datasets, yet there is still
much information that is difficult to label. Detailed annotations like part segmentation and …