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Ahmed Hammam
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2020 – today
- 2024
- [c10]Jan Roßbach
, Oliver De Candido
, Ahmed Hammam, Michael Leuschel
:
Evaluating AI-Based Components in Autonomous Railway Systems - A Methodology. KI 2024: 190-203 - [i4]David A. Wood, Emily Guilhem, Sina Kafiabadi, Ayisha Al Busaidi, Kishan Dissanayake, Ahmed Hammam, Nina Mansoor, Matthew Townend, Siddharth Agarwal, Yiran Wei, Asif Mazumder, Gareth J. Barker, Peter Sasieni, Sébastien Ourselin, James H. Cole, Thomas C. Booth:
A self-supervised text-vision framework for automated brain abnormality detection. CoRR abs/2405.02782 (2024) - [i3]Felix Assion, Florens Greßner, Nitin Augustine, Jona Klemenc, Ahmed Hammam, Alexandre Krattinger, Holger Trittenbach, Sascha Riemer:
A-BDD: Leveraging Data Augmentations for Safe Autonomous Driving in Adverse Weather and Lighting. CoRR abs/2408.06071 (2024) - [i2]Ahmed Hammam, Bharathwaj Krishnaswami Sreedhar, Nura Kawa, Tim Patzelt, Oliver De Candido:
Structuring a Training Strategy to Robustify Perception Models with Realistic Image Augmentations. CoRR abs/2408.17311 (2024) - 2023
- [c9]Ahmed Hammam, Frank Bonarens, Seyed Eghbal Ghobadi, Christoph Stiller:
Identifying Out-of-Domain Objects with Dirichlet Deep Neural Networks. ICCV (Workshops) 2023: 4562-4571 - 2022
- [c8]Ahmed Hammam
, Frank Bonarens
, Seyed Eghbal Ghobadi
, Christoph Stiller
:
Predictive Uncertainty Quantification of Deep Neural Networks using Dirichlet Distributions. CSCS 2022: 4:1-4:10 - [c7]Ahmed Hammam, Frank Bonarens, Seyed Eghbal Ghobadi, Christoph Stiller:
Towards Improved Intermediate Layer Variational Inference for Uncertainty Estimation. ECCV Workshops (5) 2022: 526-542 - 2021
- [c6]Ahmed Hammam, Seyed Eghbal Ghobadi, Frank Bonarens, Christoph Stiller:
Real-time Uncertainty Estimation Based On Intermediate Layer Variational Inference. CSCS 2021: 3:1-3:9 - [i1]Sebastian Houben, Stephanie Abrecht, Maram Akila, Andreas Bär, Felix Brockherde, Patrick Feifel, Tim Fingscheidt, Sujan Sai Gannamaneni, Seyed Eghbal Ghobadi, Ahmed Hammam, Anselm Haselhoff, Felix Hauser, Christian Heinzemann, Marco Hoffmann, Nikhil Kapoor, Falk Kappel, Marvin Klingner, Jan Kronenberger, Fabian Küppers, Jonas Löhdefink, Michael Mlynarski, Michael Mock, Firas Mualla, Svetlana Pavlitskaya, Maximilian Poretschkin, Alexander Pohl, Varun Ravi Kumar, Julia Rosenzweig, Matthias Rottmann, Stefan Rüping, Timo Sämann, Jan David Schneider, Elena Schulz, Gesina Schwalbe
, Joachim Sicking, Toshika Srivastava, Serin Varghese, Michael Weber, Sebastian Wirkert, Tim Wirtz, Matthias Woehrle:
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety. CoRR abs/2104.14235 (2021)
2010 – 2019
- 2019
- [c5]Mostafa Ayman, Youssef Salem, Ahmed Hammam, El-Sayed Imam Morgan:
Multi-Sensor Fusion for the Localization of a Small Vehicle in Outdoor Urban Driving Scenario. ICVES 2019: 1-6 - [c4]Mostafa Osman
, Ricardo Alonso, Ahmed Hammam, Francisco Miguel Moreno, Abdulla Al-Kaff, Ahmed Hussein:
Multisensor Fusion Localization using Extended H∞Filter using Pre-filtered Sensors Measurements. IV 2019: 1139-1144 - [c3]Ahmed Hammam, Mohamed A. Abdelhady, Omar M. Shehata
, Elsayed I. Morgan:
Learning A Recurrent Neural Network for State Estimation using Filtered Sensory Data. IV 2019: 1448-1453 - 2018
- [c2]Mayar Tarek, Ahmed Moataz, Mennat-allah Khaled, Ahmed Hammam, Omar M. Shehata
, Elsayed I. Morgan:
Multisensor Filtration and Fusion on a Three-Layer Architecture. ICVES 2018: 1-6 - 2014
- [p1]Ahmed Hammam, Samah Senbel:
A Reputation Trust Management System for Ad-Hoc Mobile Clouds. Bio-inspiring Cyber Security and Cloud Services 2014: 519-539 - 2013
- [c1]Ahmed Hammam, Samah Senbel:
Towards Trusted Mobile Ad-Hoc Clouds. ICCTA 2013: 75-81
Coauthor Index
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last updated on 2024-09-30 00:10 CEST by the dblp team
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