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2020 – today
- 2024
[c10]Salman Khan, Izzeddin Teeti, Andrew Bradley, Mohamed Elhoseiny
, Fabio Cuzzolin:
A Hybrid Graph Network for Complex Activity Detection in Video. WACV 2024: 6748-6758- 2023
- [j1]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) - [c9]Izzeddin Teeti, Rongali Sai Bhargav, Vivek Singh, Andrew Bradley, Biplab Banerjee, Fabio Cuzzolin:
Temporal DINO: A Self-supervised Video Strategy to Enhance Action Prediction. ICCV (Workshops) 2023: 3273-3283 - [c8]Hong Zhu, Thi Minh Tam Tran, Aduen Benjumea, Andrew Bradley:
A Scenario-Based Functional Testing Approach to Improving DNN Performance. SOSE 2023: 199-207 - [i9]Hong Zhu, Thi Minh Tam Tran, Aduen Benjumea, Andrew Bradley:
A Scenario-Based Functional Testing Approach to Improving DNN Performance. CoRR abs/2307.07083 (2023) - [i8]Izzeddin Teeti, Rongali Sai Bhargav, Vivek Singh, Andrew Bradley, Biplab Banerjee, Fabio Cuzzolin:
Temporal DINO: A Self-supervised Video Strategy to Enhance Action Prediction. CoRR abs/2308.04589 (2023) - [i7]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
- [c7]Safras Iqbal, Peter Ball, Muhammad Hilmi Kamarudin, Andrew Bradley:
Simulating Malicious Attacks on VANETs for Connected and Autonomous Vehicle Cybersecurity: A Machine Learning Dataset. CSNDSP 2022: 332-337 - [c6]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 - [i6]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) - [i5]Safras Iqbal, Peter Ball, Muhammad Hilmi Kamarudin, Andrew Bradley:
Simulating Malicious Attacks on VANETs for Connected and Autonomous Vehicle Cybersecurity: A Machine Learning Dataset. CoRR abs/2202.07704 (2022) - 2021
- [c5]Valentina Musat, Ivan Fursa, Paul Newman, Fabio Cuzzolin, Andrew Bradley:
Multi-weather city: Adverse weather stacking for autonomous driving. ICCVW 2021: 2906-2915 - [i4]Sam Garlick, Andrew Bradley:
Real-Time Optimal Trajectory Planning for Autonomous Vehicles and Lap Time Simulation Using Machine Learning. CoRR abs/2102.02315 (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]Ivan Fursa, Elias Fandi, Valentina Musat, Jacob Culley, Enric Gil Esteller, Louise Bilous, Isaac Vander Sluis, Alexander Rast, Andrew Bradley:
Worsening Perception: Real-time Degradation of Autonomous Vehicle Perception Performance for Simulation of Adverse Weather Conditions. CoRR abs/2103.02760 (2021) - [i1]Aduen Benjumea, Izzeddin Teeti, Fabio Cuzzolin, Andrew Bradley:
YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehicles. CoRR abs/2112.11798 (2021) - 2020
- [c4]Jacob Culley, Sam Garlick, Enric Gil Esteller, Petar Georgiev, Ivan Fursa, Isaac Vander Sluis, Peter Ball, Andrew Bradley:
System Design for a Driverless Autonomous Racing Vehicle. CSNDSP 2020: 1-6
2010 – 2019
- 2019
- [c3]Ian Pollock, Bedour Alshaigy, Andrew Bradley, Birgit R. Krogstie, Viraj Kumar, Linda M. Ott, Anne-Kathrin Peters, Charles Riedesel, Charles Wallace:
1.5 Degrees of Separation: Computer Science Education in the Age of the Anthropocene. ITiCSE-WGR 2019: 1-25 - [c2]Ian Pollock, Bedour Alshaigy, Andrew Bradley, Birgit R. Krogstie, Viraj Kumar, Linda M. Ott, Anne-Kathrin Peters, Charles Riedesel, Charles Wallace:
1.5 Degrees of Separation: Computer Science Education in the Age of the Anthropocene. ITiCSE 2019: 263-264
1990 – 1999
- 1992
- [c1]Andrew Bradley:
Reqirements for Defence Standard 00-55. Z User Workshop 1992: 93-94
Coauthor Index
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last updated on 2024-10-15 21:36 CEST by the dblp team
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