A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
Pablo Sprechmann, Ignacio Ramirez, Guillermo Sapir...
We present a new method for user controlled morphing of two homeomorphic triangle meshes of arbitrary topology. In particular we focus on the problem of establishing a corresponde...
Aaron W. F. Lee, David P. Dobkin, Wim Sweldens, Pe...
In this paper, we present an easy method for automatic 3D garment pre-positioning. Given a digital 3D mannequin and a set of 2D patterns, the problem consists in sewing automatical...
— Context is critical for reducing the uncertainty in object detection. However, context modelling is challenging because there are often many different types of contextual infor...
In this paper, we propose an alternative method for accessing the content of Greek historical documents printed during the 17th and 18th centuries by searching words directly in d...
Anastasios L. Kesidis, Eleni Galiotou, Basilios Ga...