In our framework, an object is made up of K distinct parts or units, and...
We propose Recognition as Part Composition (RPC), an image encoding appr...
We present Contrastive Neighborhood Alignment (CNA), a manifold learning...
Zero-shot detection, namely, localizing both seen and unseen objects,
in...
In computer vision applications, such as domain adaptation (DA), few sho...
We propose a novel Generalized Zero-Shot learning (GZSL) method that is
...
As we move towards large-scale object detection, it is unrealistic to ex...