We describe a hierarchical probabilistic model for the detection and recognition of objects in cluttered, natural scenes. The model is based on a set of parts which describe the e...
Erik B. Sudderth, Antonio B. Torralba, William T. ...
In this paper, we present a novel adaptive thresholding technique based upon an anisotropic diffusionmodel, whichmay be referred to as the anti-geometric heat flow. In contrast to...
In this paper, we present an algorithm to combine edge information from stereo-derived depth maps with edges from the original intensity/color image to improve the contour detecti...
Road scene segmentation is important in computer vision for different applications such as autonomous driving and pedestrian detection. Recovering the 3D structure of road scenes ...
Jose M. Alvarez, Theo Gevers, Yann LeCun, Antonio ...
Vision-based road detection is important in different areas of
computer vision such as autonomous driving, car collision warning
and pedestrian crossing detection. However, curre...