53 citations · 58 across the 3 of their papers we have counts for
4 papers
Semi and Weakly Supervised Semantic Segmentation Using Generative Adversarial Network
Nasim Souly, Concetto Spampinato, Mubarak Shah
Semantic segmentation has been a long standing challenging task in computer vision. It aims at assigning a label to each image pixel and needs significant number of pixellevel anno…
Deep Learning Human Mind for Automated Visual Classification
Concetto Spampinato, Simone Palazzo, Isaak Kavasidis +3
What if we could effectively read the mind and transfer human visual capabilities to computer vision methods? In this paper, we aim at addressing this question by developing the fi…
Scene Labeling Through Knowledge-Based Rules Employing Constrained Integer Linear Programing
Nasim Souly, Mubarak Shah
Scene labeling task is to segment the image into meaningful regions and categorize them into classes of objects which comprised the image. Commonly used methods typically find the…
Covariance of Motion and Appearance Featuresfor Spatio Temporal Recognition Tasks
Subhabrata Bhattacharya, Nasim Souly, Mubarak Shah
In this paper, we introduce an end-to-end framework for video analysis focused towards practical scenarios built on theoretical foundations from sparse representation, including a…