Most face databases have been created under controlled conditions to facilitate the study of
specific parameters on the face recognition problem. These parameters include such …

Metric learning aims at finding a distance that approximates a task-specific notion of
semantic similarity. Typically, a Mahalanobis distance is learned from pairs of data labeled …

The goal of face identification is to decide whether two faces depict the same person or not.
This paper addresses the identification problem for face-tracks that are automatically …

This paper investigates a retrieval-based annotation paradigm of mining web facial images
for automated face annotation. In general, there are two key challenges for such an …

In this paper, we present a face annotation system to automatically collect and label celebrity
faces from the web. With the proposed system, we have constructed a large-scale dataset …

In this paper, we investigate a search-based face annotation framework by mining weakly
labeled facial images that are freely available on the internet. A key component of such a …

We consider two scenarios of naming people in databases of news photos with captions:(i)
finding faces of a single person, and (ii) assigning names to all faces. We combine an initial …

In this paper, we present methods for face recognition using a collection of images with
captions. We consider two tasks: retrieving all faces of a particular person in a data set, and …

In this paper, we have developed an augmented reality cricket broadcasting application that
uses player face recognition during play to display player personal data. The system utilizes …

We propose a language CDL as a formal model of simplified WS-CDL. The operational
semantics of CDL is given, and static validation and verification of choreographies is …