The context-centered approach to object detection and recognition is based on the intuition that the contextual information of real-world scenes provides relevant information for ...
The appearance of non-rigid objects detected and tracked in video streams is highly variable and therefore makes the identification of similar objects very complex. Furthermore, i...
There has been a growing interest in exploiting contextual information in addition to local features to detect and localize multiple object categories in an image. Context models ...
Myung Jin Choi, Joseph Lim, Antonio Torralba, Alan...
Modern database applications including computer-aided design, multimedia information systems, medical imaging, molecular biology, or geographical information systems impose new re...
We present algorithms that enable virtual objects to interact with and respond to virtual representations, avatars, of real objects. These techniques allow dynamic real objects, s...
Benjamin Lok, Samir Naik, Mary C. Whitton, Frederi...