Traditional memory research has focused on identifying separate memory systems and
exploring different stages of memory processing. This approach has been valuable for …

With nearly one billion online videos viewed everyday, an emerging new frontier in
computer vision research is recognition and search in video. While much effort has been …

Datasets are an integral part of contemporary object recognition research. They have been
the chief reason for the considerable progress in the field, not just as source of large …

This paper proposes a conceptually simple but surprisingly powerful method which
combines the effectiveness of a discriminative object detector with the explicit …

We develop and demonstrate automatic image description methods using a large captioned
photo collection. One contribution is our technique for the automatic collection of this new …

When glancing at a magazine, or browsing the Internet, we are continuously being exposed
to photographs. Despite of this overflow of visual information, humans are extremely good at …

While there has been a lot of recent work on object recognition and image understanding,
the focus has been on carefully establishing mathematical models for images, scenes, and …

We present a hierarchical classification model that allows rare objects to borrow statistical
strength from related objects that have many training examples. Unlike many of the existing …

Recognizing visual content in unconstrained videos has become a very important problem
for many applications. Existing corpora for video analysis lack scale and/or content diversity …

Artists, advertisers, and photographers are routinely presented with the task of creating an
image that a viewer will remember. While it may seem like image memorability is purely …