4.4k citations · 9.7k across the 80 of their papers we have counts for
7 papers · 1 filter
On Symbiosis of Attribute Prediction and Semantic Segmentation
Mahdi M. Kalayeh, Mubarak Shah
In this paper, we propose to employ semantic segmentation to improve person-related attribute prediction. The core idea lies in the fact that the probability of an attribute to app…
Human Action Recognition in Drone Videos using a Few Aerial Training Examples
Waqas Sultani, Mubarak Shah
Drones are enabling new forms of human actions surveillance due to their low cost and fast mobility. However, using deep neural networks for automatic aerial action recognition is…
CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing
Kevin Duarte, Yogesh S Rawat, Mubarak Shah
In this work we propose a capsule-based approach for semi-supervised video object segmentation. Current video object segmentation methods are frame-based and often require optical…
An Efficient 3D CNN for Action/Object Segmentation in Video
Rui Hou, Chen Chen, Rahul Sukthankar +1
Convolutional Neural Network (CNN) based image segmentation has made great progress in recent years. However, video object segmentation remains a challenging task due to its high c…
Crowd Transformer Network
Viresh Ranjan, Mubarak Shah, Minh Hoai Nguyen
In this paper, we tackle the problem of Crowd Counting, and present a crowd density estimation based approach for obtaining the crowd count. Most of the existing crowd counting app…
Deep Constrained Dominant Sets for Person Re-identification
Leulseged Tesfaye Alemu, Marcello Pelillo, Mubarak Shah
In this work, we propose an end-to-end constrained clustering scheme to tackle the person re-identification (re-id) problem. Deep neural networks (DNN) have recently proven to be e…