Metric learning is a fundamental problem in computer vision. Different features and algorithms may tackle a problem from different angles, and thus often provide complementary inf...
Bo Wang, Jiayan Jiang, Wei Wang 0028, Zhi-Hua Zhou...
We describe a novel technique for identifying semantically equivalent parts in images belonging to the same object class, (e.g. eyes, license plates, aircraft wings etc.). The vis...
Researching experiential phenomena is a challenging undertaking, given the sheer variety of experiences that are described by gamers and missing a formal taxonomy: flow, immersion...
Multimodal interactive systems support multiple interaction techniques such as the synergistic use of speech, gesture and eye gaze tracking. The flexibility they offer results in ...
In this paper we rst describe how we have constructed a 3D deformable Point Distribution Model of the human hand, capturing training data semi-automatically from volume images via...