The paper entitled “A Unified Framework for Coarse-to-Fine Rocognition of Traffic Signs using Bayesian Network and Visual Attributes” written by Hamed Habibi Aghdam, Elnaz Jahani Heravi and Domenec Puig won the best student paper award in 10th International Conference on Computer Vision, Theory and Applications.
Among the 13% papers that hadnbeen accepted to be presented as a full paper, the paper entitled “A Unified Framework for Coarse-to-Fine Recognition of Traffic Signs using Bayesian Network and Visual Attributes” written by Hamed Habibi Aghdam, Elnaz Jahani Heravi and Domenec Puig won the best student paper award in 10th Inter ational Conference on Computer Vision, Theory and Applications.
The award was selected by the Program/Conference Chairs based on the best combined marks ef paper reviewing, assessed byvthe Program Committee, and paper presentation quality, assessed by session chairs at the conference venue.