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ORCIDSalman Khan 0004
Person information
- affiliation: Oxford Brookes University, Visual Artificial Intelligence Laboratory, VAIL, School of Engineering, Computing and Mathematics, UK
- affiliation: Sejong University, Visual Analytics for Knowledge Laboratory, VIS2KNOW Lab, Korea
Other persons with the same name
- Salman Khan — disambiguation page
- Salman H. Khan 0001
![[0000-0002-9502-1749]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-9502-1749")
(aka: Salman Hameed Khan, Salman Khan 0001) — Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE (and 3 more) - Salman Khan 0002 — BT Research, Ipswich, UK (and 2 more)
- Salman Khan 0003 — University of Waterloo, Ontario, Canada
- Salman Khan 0005 (aka: Salman 0005) — Abdul Wali Khan University Mardan, Department of Computer Science, Pakistan
- Salman Khan 0006 — COMSATS Institute of Information Technology, Department of Physics, Pakistan
- Salman Khan 0007 — University of Engineering and Technology, Department of Software Engineering, Peshawar, Pakistan
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Journal Articles
- 2023
[j11]Eleonora Giunchiglia, Mihaela Catalina Stoian, Salman Khan, Fabio Cuzzolin, Thomas Lukasiewicz:
ROAD-R: the autonomous driving dataset with logical requirements. Mach. Learn. 112(9): 3261-3291 (2023)- [j10]Gurkirt Singh, Stephen Akrigg, Manuele Di Maio, Valentina Fontana, Reza Javanmard Alitappeh, Salman Khan, Suman Saha, Kossar Jeddi Saravi, Farzad Yousefi, Jacob Culley, Tom Nicholson, Jordan Omokeowa, Stanislao Grazioso, Andrew Bradley, Giuseppe Di Gironimo, Fabio Cuzzolin:
ROAD: The Road Event Awareness Dataset for Autonomous Driving. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 1036-1054 (2023) - [j9]Khan Muhammad, Hayat Ullah, Salman Khan, Mohammad Hijji, Jaime Lloret Mauri:
Efficient Fire Segmentation for Internet-of-Things-Assisted Intelligent Transportation Systems. IEEE Trans. Intell. Transp. Syst. 24(11): 13141-13150 (2023) - 2021
- [j8]Salman Khan, Khan Muhammad, Tanveer Hussain, Javier Del Ser, Fabio Cuzzolin, Siddhartha Bhattacharyya, Zahid Akhtar, Victor Hugo C. de Albuquerque:
DeepSmoke: Deep learning model for smoke detection and segmentation in outdoor environments. Expert Syst. Appl. 182: 115125 (2021) - [j7]Khan Muhammad, Salman Khan, Javier Del Ser, Victor Hugo C. de Albuquerque:
Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey. IEEE Trans. Neural Networks Learn. Syst. 32(2): 507-522 (2021) - 2020
- [j6]Khan Muhammad, Salman Khan, Neeraj Kumar, Javier Del Ser, Seyedali Mirjalili:
Vision-based personalized Wireless Capsule Endoscopy for smart healthcare: Taxonomy, literature review, opportunities and challenges. Future Gener. Comput. Syst. 113: 266-280 (2020) - [j5]Khan Muhammad, Salman Khan, Vasile Palade, Irfan Mehmood, Victor Hugo C. de Albuquerque:
Edge Intelligence-Assisted Smoke Detection in Foggy Surveillance Environments. IEEE Trans. Ind. Informatics 16(2): 1067-1075 (2020) - 2019
- [j4]Salman Khan, Khan Muhammad, Shahid Mumtaz, Sung Wook Baik, Victor Hugo C. de Albuquerque:
Energy-Efficient Deep CNN for Smoke Detection in Foggy IoT Environment. IEEE Internet Things J. 6(6): 9237-9245 (2019) - [j3]Muhammad Sajjad, Salman Khan, Khan Muhammad, Wanqing Wu, Amin Ullah, Sung Wook Baik:
Multi-grade brain tumor classification using deep CNN with extensive data augmentation. J. Comput. Sci. 30: 174-182 (2019) - [j2]Muhammad Sajjad, Salman Khan, Tanveer Hussain, Khan Muhammad, Arun Kumar Sangaiah, Aniello Castiglione, Christian Esposito, Sung Wook Baik:
CNN-based anti-spoofing two-tier multi-factor authentication system. Pattern Recognit. Lett. 126: 123-131 (2019) - [j1]Khan Muhammad, Salman Khan, Mohamed Elhoseny, Syed Hassan Ahmed, Sung Wook Baik:
Efficient Fire Detection for Uncertain Surveillance Environment. IEEE Trans. Ind. Informatics 15(5): 3113-3122 (2019)
Conference and Workshop Papers
- 2024
- [c3]Salman Khan, Izzeddin Teeti, Andrew Bradley, Mohamed Elhoseiny, Fabio Cuzzolin:
A Hybrid Graph Network for Complex Activity Detection in Video. WACV 2024: 6748-6758 - 2022
- [c2]Izzeddin Teeti, Salman Khan, Ajmal Shahbaz, Andrew Bradley, Fabio Cuzzolin:
Vision-based Intention and Trajectory Prediction in Autonomous Vehicles: A Survey. IJCAI 2022: 5630-5637 - 2021
- [c1]Ajmal Shahbaz, Salman Khan, Mohammad Asiful Hossain, Vincenzo Lomonaco, Kevin Cannons, Zhan Xu, Fabio Cuzzolin:
International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines. CSSL 2021: 1-14
Informal and Other Publications
- 2023
- [i8]Salman Khan, Izzeddin Teeti, Andrew Bradley, Mohamed Elhoseiny, Fabio Cuzzolin:
A Hybrid Graph Network for Complex Activity Detection in Video. CoRR abs/2310.17493 (2023) - 2022
- [i7]Izzeddin Teeti, Valentina Musat, Salman Khan, Alexander Rast, Fabio Cuzzolin, Andrew Bradley:
Vision in adverse weather: Augmentation using CycleGANs with various object detectors for robust perception in autonomous racing. CoRR abs/2201.03246 (2022) - [i6]Tochukwu Onyeogulu, Salman Khan, Izzeddin Teeti, Amirul Islam, Kaizhe Jin, Adrian Rubio-Solis, Ravi Naik, George P. Mylonas, Fabio Cuzzolin:
Situation Awareness for Automated Surgical Check-listing in AI-Assisted Operating Room. CoRR abs/2209.05056 (2022) - [i5]Kaizhe Jin, Adrian Rubio-Solis, Ravi Naik, Tochukwu Onyeogulu, Amirul Islam, Salman Khan, Izzeddin Teeti, James Kinross, Daniel R. Leff, Fabio Cuzzolin, George P. Mylonas:
Identification of Cognitive Workload during Surgical Tasks with Multimodal Deep Learning. CoRR abs/2209.06208 (2022) - [i4]Eleonora Giunchiglia, Mihaela Catalina Stoian, Salman Khan, Fabio Cuzzolin, Thomas Lukasiewicz:
ROAD-R: The Autonomous Driving Dataset with Logical Requirements. CoRR abs/2210.01597 (2022) - 2021
- [i3]Gurkirt Singh, Stephen Akrigg, Manuele Di Maio, Valentina Fontana, Reza Javanmard Alitappeh, Suman Saha, Kossar Jeddi Saravi, Farzad Yousefi, Jacob Culley, Tom Nicholson, Jordan Omokeowa, Salman Khan, Stanislao Grazioso, Andrew Bradley, Giuseppe Di Gironimo, Fabio Cuzzolin:
ROAD: The ROad event Awareness Dataset for Autonomous Driving. CoRR abs/2102.11585 (2021) - [i2]Salman Khan, Fabio Cuzzolin:
Spatiotemporal Deformable Models for Long-Term Complex Activity Detection. CoRR abs/2104.08194 (2021) - [i1]Ajmal Shahbaz, Salman Khan, Mohammad Asiful Hossain, Vincenzo Lomonaco, Kevin Cannons, Zhan Xu, Fabio Cuzzolin:
International Workshop on Continual Semi-Supervised Learning: Introduction, Benchmarks and Baselines. CoRR abs/2110.14613 (2021)
Coauthor Index
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