University of Central Florida, USA.
Human action recognition, Crowd counting, and tracking, Anomaly detection, Object segmentation, Complex event detection, Automatic weakly labeled annotations.
Waqas Sultani completed his Ph.D. in Computer Science under Professor Mubarak Shah at Center for Research in Computer Vision, University of Central Florida. Before this, he earned MS from Seoul National University, South Korea under the supervision of Professor Jin Young Choi at Perception and Intelligence lab. He received his BSc in Electrical Engineering from University of Engineering and Technology, Taxila. He has worked on several projects related to human action recognition, anomaly detection, crowd tracking, anomaly detection, object segmentation, complex event detection and automatic weakly labeled annotations. He has worked on projects funded by US Intelligence Advanced Research Projects Activity (IARPA), US Data Transport Solution (DTS), US National Institute of Justice (NIJ), US Xerox Research and Samsung Electronics.
He has published several research papers in top computer vision conferences and journals. In addition, he holds two US patents. In 2014, he worked for Xerox Research Center, New York. He also worked for around two years in Advanced Engineering Research Organization (NESCOM) and one year in COMSATS Institute of Technology, Islamabad as a Lecturer.
- Waqas Sultani, Mubarak Shah, “Automatic Action Annotation in Weakly Labeled Videos”, Journal of Computer Vision and Image Understanding, CVIU, 2017
- Waqas Sultani, Dong Zhang, Mubarak Shah, “Unsupervised Action Proposal Ranking through Proposal Recombination”, Journal of Computer Vision and Image Understanding, CVIU, 2017
- Waqas Sultani, Soroush Mokhtari, and Hae-Bum Yun, “Automatic Pavement Object Detection using Superpixel Segmentation Combined with Conditional Random Field”, IEEE Transactions on Intelligent Transportation Systems, IEEE Trans ITS, 2017
- Waqas Sultani, Mubarak Shah, “What if we do not have multiple videos of the same action? - Video Action Localization Using Web Images”, IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2016
- Waqas Sultani, Mubarak Shah, “Human Action Recognition across Datasets by Foreground Focused Histogram Decomposition”, IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2014
- Waqas Sultani, Jin Young Choi, “Abnormal Traffic Detection using Intelligent Driver Model”, IEEE International Conference on Pattern Recognition, ICPR, 2010
- Waqas Sultani, Jin Young Choi, “Abnormality Detection in Traffic Scenes”, Summer Conference of Electronics Engineering Society of Korea, IEEK 2010
- MS scholarship in top Korean University by Higher Education Commission, Pakistan
- Recipient of NSF Innovation-corps training
- IT Performance Travel Grant for CVPR, 2014
- Islamabad College for Boys Scholarship for the first position