| CARVIEW |
Waqas Sultani
Computer Vision Scientist, Intelligent Machines Lab, ITU
waqas.sultani [AT] itu.edu.pk
Bio
I am a US-trained Computer vision engineer (Ph.D.) with more than 12 years of extensive hands-on experience working on Computer Vision and Machine Learning. Specifically, I have been analyzing videos and images using supervised, weakly supervised, and unsupervised machine learning techniques. Along with academia, I have spent sufficient time in the industry. Recently, I spent one year in Hazenai working as a Principle Machine Learning Engineer. At Hazenai, I have mainly worked on designing and implementing improved multiple object tracking and robust traffic phase detection. I have experience working on projects from many different companies and organizations including the US Intelligence Advanced Research Projects Activity (IARPA), US Data Transport Solution (DTS), US National Institute of Justice (NIJ), Xerox (USA), Facebook Research (US), Google Research (US) Samsung (South Korea), and Hazen.ai (Saudi Arabia). As a research scientist, my recent research projects related to human action recognition, anomaly detection, small object detection, geolocalization, and medical imaging got published in the top venues including CVPR, ICRA, AAAI, WACV, CVIU, MICCAI, etc. I was awarded the Facebook-CV4GC research award in 2019 and a Google Research scholar in 2023 for projects related to medical imaging. I did my MS from Seoul National University (the 27th best university in the world at that time) and Ph.D. (under Mubarak Shah) from the Center for Research in Computer Vision (6th best Computer vision research group in the US), University of Central Florida, USA.
Grants / Awards
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Groogle Research Scholar Award, “Toward Low-Cost Blood Cancer Detection” PI: Waqas Sultani | |
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Facebook AI, Computer Vision for Global Challenges research award, “Low-cost deep learning solution to real-time detection of malaria” PI: Dr. Waqas Sultani, Co-PI: Dr. Mohsen Ali, Dr. Arif Mehmood | |
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Higher Education Commission, , “Startup-Research Grant”, PI: Dr. Waqas Sultani, Co-PI: Dr. Mohsen Ali | |
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Higher Education Commission, , “Crime Investigation and Protection Lab”, PI: Dr. Faisal Kamran, Co-PI: Dr. Waqas Sultani |
Media Coverage
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Live Interview at C42 | |
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Introductory Video by ITU Media Team | |
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Article published in NewScientist regarding our CVPR-2018 paper |
Recent
- I gave a talk to Stanford-MedAI group
- Our paper related to Breast Caner accepted in BSPC
- Our paper accepted in IEEE TPAMI
- Our paper accepted in IJCV
- Our paper accepted in WACV 2024
- Two papers related to blood cancer accepted in MICCAI 2024
- I will serve as an Area Chair for Neurips 2024
- I will serve as an Area Chair for WACV 2024
- I will serve as an Area Chair for CVPR 2024
- I will give an invited talk at CVPR 2023 workshop: A Comprehensive Tour and Recent Advancements toward Real-world Visual Geo-Localization
- I received a Google Research Scholar award
- Research accepted in ICRA 2023
- Research accepted in AAAI and WACV 2023
- I will serve as an Area Chair for CVPR 2023
- I will serve as an Area Chair for CVPR 2022
- Research accepted in CVPR 2022
- Research accepted in CVPR 2021
- I will serve as an Area Chair for ACM Multimedia 2021
- I will serve as a Program Chair for the Program Committee of the WACV'21 HADCV workshop
- I will serve as a Program Chair for DL-HAU2020, ICPR2020, Milan, Italy.
- I will serve as an Area Chair for ACM Multimedia 2020, Seattle
- Paper accepted in MICCAI 2020
- Two books chapter published in Computer Vision: A Reference Guide
- Two papers accepted in ISPRS Journal of Photogrammetry and Remote Sensing (Impact Factor = 7.3)
- I will serve as an Area Chair for ACM Multimedia 2020, Seattle
- Media Coverage: Check out an article about our research at Newscientist
Publications
Most recent publications on Google Scholar.
‡ indicates equal contribution.
- Selected
- All
- GeoDTR+: Toward generic cross-view geolocalization via geometric disentanglement
Xiaohan Zhang, Xingyu Li, Waqas Sultani, Chen Chen, Safwan Wshah
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2024
[Paper] [Code] - RS100K: Road-Region Segmentation Dataset for Semi-supervised Autonomous Driving in the Wild
Muhammad Atif Butt, Hassan Ali, Adnan Qayyum, Waqas Sultani, Ala Al-Fuqaha, Junaid Qadir
International Journal of Computer Vision (IJCV), 2024
[Paper] [Project Page] [Code] - Cross-View Meets Diffusion: Aerial Image Synthesis with Geometry and Text Guidance
Ahmad Arrabi, Xiaohan Zhang, Waqas Sultan, Chen Chen, Safwan Wshah
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
[Paper] [Code] - A Large-scale Multi Domain Leukemia Dataset for the White Blood Cells Detection with Morphological Attributes for Explainability
Abdul Rehman, Talha Meraj, Aiman Mahmood Minhas, Ayisha Imran, Mohsen Ali, Waqas Sultani
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024
[Paper] [Project Page] [Code] - Few-Shot Domain Adaptive Object Detection for Microscopic Images
Sumayya Inayat, Nimra Dilawar, Waqas Sultani, Mohsen Ali
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024
[Paper] [Project Page] [Code] - Image and object Geo-localization
Daniel Wilson, Xiaohan Zhang, Waqas Sultani, Safwan Wshah
International Journal of Computer Vision, 2023
[Paper] [Code] - Transvisdrone: Spatio-temporal transformer for vision-based drone-to-drone detection in aerial videos
Tushar Sangam, Ishan Rajendrakumar Dave, Waqas Sultani, Mubarak Shah
IEEE International Conference on Robotics and Automation (ICRA), 2023
[Paper] [Code] - Cross-view Geo-localization via Learning Disentangled Geometric Layout Correspondence
Xiaohan Zhang, Xingyu Li, Waqas Sultani, Yi Zhou, Safwan Wshah
The Association for the Advancement of Artificial Intelligence (AAAI), 2023
[Paper] [Code] - Cross-View Image Sequence Geo-localization
Xiaohan Zhang, Xingyu Li, Waqas Sultani, Yi Zhou, Safwan Wshah
IEEE Winter Conference on Computer Vision (WACV), 2023
[Paper] [Code] - Fine-Grained Road Quality Monitoring Using Deep Learning
Ifrah Siddiqui, Suleman Mazhar, Naufil Hassan, Waqas Sultani
IEEE Transactions on Intelligent Transportation Systems (IEEE ITS), 2023
[Paper] - Leveraging topology for domain adaptive road segmentation in satellite and aerial imagery
Javed Iqbal, Aliza Masood, Waqas Sultani, Mohsen Ali
ISPRS Journal of Photogrammetry and Remote Sensing, 2023
[Paper] - Mapping Temporary Slums From Satellite Imagery Using a Semi-Supervised Approach
M. Fasi Ur Rehman, Izza Aftab, Waqas Sultani, Mohsen Ali
IEEE Geoscience and Remote Sensing Letters, 2022
[Paper] - Towards Low-Cost and Efficient Malaria Detection
Waqas Sultani, Wajahat Nawaz, Syed Javed, Muhammad Sohail Danish, Asma Saadia, Mohsen Ali
IEEE Intl. Conf. on Computer Vision and Pattern Recognition (CVPR), 2022
[Paper] [Project Page] [Code] [Dataset] - Dogfight Detecting Drones from Drones Videos
Muhammad Waseem Ashraf, Waqas Sultani, Mubarak Shah
IEEE Intl. Conf. on Computer Vision and Pattern Recognition (CVPR), 2021
[Paper] [Project Page] [Code] - Human Action Recognition in Drone Videos Using a Few Aerial Training Examples
Waqas Sultani, Mubarak Shah
Computer Vision and Image Understanding (CVIU), 2021
[Paper] [Project Page] [Dataset] - Single-Shot Retinal Image Enhancement Using Deep Image Priors
Adnan Qayyum, Waqas Sultani, Fahad Shamshad, Junaid Qadir, Rashid Tufail
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020
[Paper]
- GeoDTR+: Toward generic cross-view geolocalization via geometric disentanglement
Xiaohan Zhang, Xingyu Li, Waqas Sultani, Chen Chen, Safwan Wshah
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2024
[Paper] [Code] - RS100K: Road-Region Segmentation Dataset for Semi-supervised Autonomous Driving in the Wild
Muhammad Atif Butt, Hassan Ali, Adnan Qayyum, Waqas Sultani, Ala Al-Fuqaha, Junaid Qadir
International Journal of Computer Vision (IJCV), 2024
[Paper] [Project Page] [Code] - Cross-View Meets Diffusion: Aerial Image Synthesis with Geometry and Text Guidance
Ahmad Arrabi, Xiaohan Zhang, Waqas Sultan, Chen Chen, Safwan Wshah
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
[Paper] [Code] - A Large-scale Multi Domain Leukemia Dataset for the White Blood Cells Detection with Morphological Attributes for Explainability
Abdul Rehman, Talha Meraj, Aiman Mahmood Minhas, Ayisha Imran, Mohsen Ali, Waqas Sultani
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024
[Paper] [Project Page] [Code] - Few-Shot Domain Adaptive Object Detection for Microscopic Images
Sumayya Inayat, Nimra Dilawar, Waqas Sultani, Mohsen Ali
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024
[Paper] [Project Page] [Code] - Image and object Geo-localization
Daniel Wilson, Xiaohan Zhang, Waqas Sultani, Safwan Wshah
International Journal of Computer Vision, 2023
[Paper] [Code] - Transvisdrone: Spatio-temporal transformer for vision-based drone-to-drone detection in aerial videos
Tushar Sangam, Ishan Rajendrakumar Dave, Waqas Sultani, Mubarak Shah
IEEE International Conference on Robotics and Automation (ICRA), 2023
[Paper] [Code] - Cross-view Geo-localization via Learning Disentangled Geometric Layout Correspondence
Xiaohan Zhang, Xingyu Li, Waqas Sultani, Yi Zhou, Safwan Wshah
The Association for the Advancement of Artificial Intelligence (AAAI), 2023
[Paper] [Code] - Cross-View Image Sequence Geo-localization
Xiaohan Zhang, Xingyu Li, Waqas Sultani, Yi Zhou, Safwan Wshah
IEEE Winter Conference on Computer Vision (WACV), 2023
[Paper] [Code] - Fine-Grained Road Quality Monitoring Using Deep Learning
Ifrah Siddiqui, Suleman Mazhar, Naufil Hassan, Waqas Sultani
IEEE Transactions on Intelligent Transportation Systems (IEEE ITS), 2023
[Paper] - Leveraging topology for domain adaptive road segmentation in satellite and aerial imagery
Javed Iqbal, Aliza Masood, Waqas Sultani, Mohsen Ali
ISPRS Journal of Photogrammetry and Remote Sensing, 2023
[Paper] - Mapping Temporary Slums From Satellite Imagery Using a Semi-Supervised Approach
M. Fasi Ur Rehman, Izza Aftab, Waqas Sultani, Mohsen Ali
IEEE Geoscience and Remote Sensing Letters, 2022
[Paper] - Towards Low-Cost and Efficient Malaria Detection
Waqas Sultani, Wajahat Nawaz, Syed Javed, Muhammad Sohail Danish, Asma Saadia, Mohsen Ali
IEEE Intl. Conf. on Computer Vision and Pattern Recognition (CVPR), 2022
[Paper] [Project Page] [Code] [Dataset] - Dogfight Detecting Drones from Drones Videos
Muhammad Waseem Ashraf, Waqas Sultani, Mubarak Shah
IEEE Intl. Conf. on Computer Vision and Pattern Recognition (CVPR), 2021
[Paper] [Project Page] [Code] - Human Action Recognition in Drone Videos Using a Few Aerial Training Examples
Waqas Sultani, Mubarak Shah
Computer Vision and Image Understanding (CVIU), 2021
[Paper] [Project Page] [Dataset] - Single-Shot Retinal Image Enhancement Using Deep Image Priors
Adnan Qayyum, Waqas Sultani, Fahad Shamshad, Junaid Qadir, Rashid Tufail
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020
[Paper]
Students
- Ph.D
- MS
- [2019-2023] Hira Yaseen (Co-Supervisor) Applications of Deep Subspace Clustering in Visual Recognition
- [2018-2022] Adnan Qayyum (Co-Supervisor) Secure and Robust Machine Learning for Healthcare
- [2019-2023] Hira Yaseen (Co-Supervisor) Applications of Deep Subspace Clustering in Visual Recognition
- [2018-2022] Adnan Qayyum (Co-Supervisor) Secure and Robust Machine Learning for Healthcare
- [2020] Nadeem Yousaf Estimation of BMI from Facial Images using Semantic Segmentation based Region-Aware Pooling [Paper]
- [2020] Qazi Ammar Arshad A Dataset and Benchmark for Malaria Life-Cycle Classification in Thin Blood Smear Images [Paper]
- [2021] Hira Ahmad Deep Learning based House Counting in Satellite Imagery [Paper]
- [2019] Muhammad Usman Ali Destruction from sky: Weakly supervised approach for destruction detection in satellite imagery [Paper]
- [2019] Fawad Arshad Photo Album Summerization [Paper]
Patents
- Selected
- System and Method for Seat Occupancy Detection from Ceiling Mounted Camera using Robust Adaptive Threshold Criteria
Robert P. Loce, Waqas Sultani, Hao Wu, and Beilei Xu
US Patent: US9378421 B2
[Paper] - System and Method for Detecting Settle Down Time using Computer Vision Techniques
Robert P. Loce, Waqas Sultani, Hao Wu, Beilei Xu, Thomas F. Wade, Mary Ann Sprague, Patricia Swenton-Wall, Megan Clar, Eric Harte
US Patent: US9384396 B2
[Paper]
Projects
- Selected
- All
Low-cost deep learning solution to real-time detection of malaria
Action Recognition through Drones and Drone Detection
Weakly Supervised Anomaly Detection
Low-cost deep learning solution to real-time detection of malaria
Action Recognition through Drones and Drone Detection
Weakly Supervised Anomaly Detection
Vitæ
Full Resume in PDF.
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Google Research Scholar Award 2023Towards Low-Cost Cancer Detection
Google Award Winner -
CVPR 2022 - 2024Area Chair
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Hazen.ai 2022 - 2023Principle Machine Learning Engineer
Hazen.ai -
ACM Multimedia 2021 - 2022Area Chair
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Facebook CV4GC Award 2019Towards Low-Cost Malaria Detection
Facebook Award Winner -
Information Technology University 2018 - nowAssistant Professor
Intelligent Machines Lab -
University of Central Florida, USA 2011-2017Ph.D. student
Center for Research in Computer Vision
Advisor: Dr. Mubarak Shah -
Xerox 2014-SummerComputer Vision Research Intern
Webster, New York -
Seoul National University, South Korea 2008-2010MS student
Perceptional and Intelligence lab
Advisor: Dr. Jin Young Choi -
Advanced Engineering Organization 2007-2008System Design Engineer
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Univeristy of Engineering and Technology, Taxila 2003-2006BS student
Major: Electronics
Advisor: Dr. Muhammad Amin -
ICB, G-6/3, Islamabad 2000 - 2002F.Sc. Student
Fedral Board
Website Design
This website template is taken from [1].You can find all the code you need to build your own website in this GitHub repo. Feel free to use it.