Face detection, which is an effortless task for humans, is complex to perform on machines.
The recent veer proliferation of computational resources is paving the way for frantic …

Optimization is a powerful paradigm for expressing and solving problems in a wide range of
areas, and has been successfully applied to many vision problems. Discrete optimization …

Learning visual models of object categories notoriously requires hundreds or thousands of
training examples. We show that it is possible to learn much information about a category …

Learning visual models of object categories notoriously requires hundreds or thousands of
training examples. We show that it is possible to learn much information about a category …

In many surveillance applications it is desirable to determine if a given individual has been
previously observed over a network of cameras. This is the person reidentification problem …

We present a novel off-line algorithm for target segmentation and tracking in video. In our
approach, video data is represented by a multi-label Markov Random Field model, and …

Food recognition is difficult because food items are de-formable objects that exhibit
significant variations in appearance. We believe the key to recognizing food is to exploit the …

We describe a new hierarchical representation for two-dimensional objects that captures
shape information at multiple levels of resolution. This representation is based on a …

We present an object class detection approach which fully integrates the complementary
strengths offered by shape matchers. Like an object detector, it can learn class models …

Food is essential for human life and has been the concern of many healthcare conventions.
Nowadays new dietary assessment and nutrition analysis tools enable more opportunities to …