Syed Sha Qutub
Orcid: 0000-0002-7124-1835Affiliations:
- Technical University of Munich, Germany
According to our database1,
Syed Sha Qutub
authored at least 9 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Situation Monitor: Diversity-Driven Zero-Shot Out-of-Distribution Detection using Budding Ensemble Architecture for Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Global Clipper: Enhancing Safety and Reliability of Transformer-based Object Detection Models.
Proceedings of the IJCAI 2024 Workshop on Artificial Intelligence Safety (AISafety 2024) co-located with the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), 2024
2023
Structural Coding: A Low-Cost Scheme to Protect CNNs from Large-Granularity Memory Faults.
Proceedings of the International Conference for High Performance Computing, 2023
A Low-Cost Strategic Monitoring Approach for Scalable and Interpretable Error Detection in Deep Neural Networks.
Proceedings of the Computer Safety, Reliability, and Security, 2023
Large-Scale Application of Fault Injection into PyTorch Models -an Extension to PyTorchFI for Validation Efficiency.
Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2023
BEA: Revisiting anchor-based object detection DNN using Budding Ensemble Architecture.
Proceedings of the 34th British Machine Vision Conference 2023, 2023
2022
Hardware Faults that Matter: Understanding and Estimating the Safety Impact of Hardware Faults on Object Detection DNNs.
Proceedings of the Computer Safety, Reliability, and Security, 2022
2021
Towards a Safety Case for Hardware Fault Tolerance in Convolutional Neural Networks Using Activation Range Supervision.
Proceedings of the Workshop on Artificial Intelligence Safety 2021 co-located with the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI 2021), 2021
2020
Proceedings of the CSCS '20: Computer Science in Cars Symposium, 2020