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On Duality Of Multiple Target Tracking and Segmentation
Yicong Tian, Mubarak Shah
Traditionally, object tracking and segmentation are treated as two separate problems and solved independently. However, in this paper, we argue that tracking and segmentation are a…
Video Fill in the Blank with Merging LSTMs
Amir Mazaheri, Dong Zhang, Mubarak Shah
Given a video and its incomplete textural description with missing words, the Video-Fill-in-the-Blank (ViFitB) task is to automatically find the missing word. The contextual inform…
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…
Query-Focused Extractive Video Summarization
Aidean Sharghi, Boqing Gong, Mubarak Shah
Video data is explosively growing. As a result of the "big video data", intelligent algorithms for automatic video summarization have re-emerged as a pressing need. We develop a pr…
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…