activity
20142023
most citedA Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels

115 citations · 185 across the 16 of their papers we have counts for

collaborators
Showing 2018Show all

5 papers · 1 filter

cs.CV2018

Handcrafted and Deep Trackers: Recent Visual Object Tracking Approaches and Trends

Mustansar Fiaz, Arif Mahmood, Sajid Javed +1

In recent years visual object tracking has become a very active research area. An increasing number of tracking algorithms are being proposed each year. It is because tracking has…

cs.CV2018★ 10 cited

Unsupervised RGBD Video Object Segmentation Using GANs

Maryam Sultana, Arif Mahmood, Sajid Javed +1

Video object segmentation is a fundamental step in many advanced vision applications. Most existing algorithms are based on handcrafted features such as HOG, super-pixel segmentati…

cs.CV2018★ 3 cited

Unsupervised Deep Context Prediction for Background Foreground Separation

Maryam Sultana, Arif Mahmood, Sajid Javed +1

In many advanced video based applications background modeling is a pre-processing step to eliminate redundant data, for instance in tracking or video surveillance applications. Ove…

cs.CV2018★ 35 cited

Tracking Noisy Targets: A Review of Recent Object Tracking Approaches

Mustansar Fiaz, Arif Mahmood, Soon Ki Jung

Visual object tracking is an important computer vision problem with numerous real-world applications including human-computer interaction, autonomous vehicles, robotics, motion-bas…

cs.CV2018★ 3 cited

Comparative Study of ECO and CFNet Trackers in Noisy Environment

Mustansar Fiaz, Sajid Javed, Arif Mahmood +1

Object tracking is one of the most challenging task and has secured significant attention of computer vision researchers in the past two decades. Recent deep learning based tracker…