Increasingly, biology researchers and medical practitioners are using computational tools to model and analyze dynamic systems across scales from the macro to the cellular to the ...
Nicholas F. Polys, Doug A. Bowman, Chris North, Re...
Given an image, we propose a hierarchical generative
model that classifies the overall scene, recognizes and segments
each object component, as well as annotates the image
with ...
This paper presents a conceptual framework and a process model for feature extraction and iconic visualization. Fearaction is viewed as a process of data abstraction, which can pr...
Frank J. Post, Theo van Walsum, Frits H. Post, Deb...
Abstract— This work presents a multimodal bottom-up attention system for the humanoid robot iCub where the robot’s decisions to move eyes and neck are based on visual and acous...
Jonas Ruesch, Manuel Lopes, Alexandre Bernardino, ...
Abstract. In this paper we introduce a probabilistic approach to support visual supervision and gesture recognition. Task knowledge is both of geometric and visual nature and it is...
Francisco Escolano, Miguel Cazorla, Domingo Gallar...