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ORCIDSujan Sai Gannamaneni
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2020 – today
- 2024
[j1]Sujan Sai Gannamaneni, Michael Mock, Maram Akila:
Assessing systematic weaknesses of DNNs using counterfactuals. AI Ethics 4(1): 27-35 (2024)- [c4]Sujan Sai Gannamaneni, Frederic Klein, Michael Mock, Maram Akila:
Exploiting CLIP Self-Consistency to Automate Image Augmentation for Safety Critical Scenarios. CVPR Workshops 2024: 3594-3604 - 2023
- [c3]Sujan Sai Gannamaneni, Arwin Sadaghiani, Rohil Prakash Rao, Michael Mock, Maram Akila:
Investigating CLIP Performance for Meta-data Generation in AD Datasets. CVPR Workshops 2023: 3840-3850 - [i2]Sujan Sai Gannamaneni, Michael Mock, Maram Akila:
Assessing Systematic Weaknesses of DNNs using Counterfactuals. CoRR abs/2308.01614 (2023) - 2021
- [c2]Sujan Sai Gannamaneni, Sebastian Houben, Maram Akila:
Semantic Concept Testing in Autonomous Driving by Extraction of Object-Level Annotations from CARLA. ICCVW 2021: 1006-1014 - [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) - 2020
- [c1]Stephanie Abrecht, Maram Akila, Sujan Sai Gannamaneni, Konrad Groh, Christian Heinzemann, Sebastian Houben, Matthias Woehrle:
Revisiting Neuron Coverage and Its Application to Test Generation. SAFECOMP Workshops 2020: 289-301
Coauthor Index
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