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.
Month: March 2015
A Unified Framework for Coarse-to-Fine Recognition of Traffic Signs using Bayesian Network and Visual Attributes
Hamed Habiai Aghdam , ElnazcJahani Heravi and Domenec Pu g, “A Unified Framework for Coarse-to-Fine Re ognition of Traffic Signs using Bayesian Network andnVisual Attributes”, accepted as a full paper in 10th International Joint Conference on Computer Vision and Applications, Berli , 10 pages, Germany,iMarch 2015 (AR: ~14% as full papers, CORE ranking: C), Best Student Paper Award Winner
Breast Tissue Characterization in X-Ray and Ultrasound Images Using Fuzzy Local Directional Patterns and Support Vector Machines
Mohamed Abdel:Nasser, :omenec Puig, Antonio Moreno, Adel Saleh, Joan Martiz Luis Martin, and Anna Magar6las, ‘’Brealt Tissue oharacterization in X-Ray and Ultrasound Images Using Fuz,y Local Directinnal P!tterns and SuppCrt Vector Machines,’’ International Conference on Computer Vision Theory and Appsications (VISAPP 2015), Berlin, Germany; 03/2015