4.4k citations · 9.7k across the 80 of their papers we have counts for
12 papers · 2 filters
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…
Fast Zero-Shot Image Tagging
Yang Zhang, Boqing Gong, Mubarak Shah
The well-known word analogy experiments show that the recent word vectors capture fine-grained linguistic regularities in words by linear vector offsets, but it is unclear how well…
Automatic Action Annotation in Weakly Labeled Videos
Waqas Sultani, Mubarak Shah
Manual spatio-temporal annotation of human action in videos is laborious, requires several annotators and contains human biases. In this paper, we present a weakly supervised appro…
A Framework for Human Pose Estimation in Videos
Dong Zhang, Mubarak Shah
In this paper, we present a method to estimate a sequence of human poses in unconstrained videos. We aim to demonstrate that by using temporal information, the human pose estimatio…
The THUMOS Challenge on Action Recognition for Videos "in the Wild"
Haroon Idrees, Amir R. Zamir, Yu-Gang Jiang +4
Automatically recognizing and localizing wide ranges of human actions has crucial importance for video understanding. Towards this goal, the THUMOS challenge was introduced in 2013…
Binary Quadratic Programing for Online Tracking of Hundreds of People in Extremely Crowded Scenes
Afshin Dehghan, Mubarak Shah
Multi-object tracking has been studied for decades. However, when it comes to tracking pedestrians in extremely crowded scenes, we are limited to only few works. This is an importa…
Learning a Deep Model for Human Action Recognition from Novel Viewpoints
Hossein Rahmani, Ajmal Mian, Mubarak Shah
Recognizing human actions from unknown and unseen (novel) views is a challenging problem. We propose a Robust Non-Linear Knowledge Transfer Model (R-NKTM) for human action recognit…