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2020 – today
- 2024
[c10]Jianhao Yuan, Shuyang Sun, Daniel Omeiza, Bo Zhao, Paul Newman, Lars Kunze, Matthew Gadd:
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Multi-Modal Large Language Model Learning. Robotics: Science and Systems 2024- [i17]Jianhao Yuan, Shuyang Sun, Daniel Omeiza, Bo Zhao, Paul Newman, Lars Kunze, Matthew Gadd:
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model. CoRR abs/2402.10828 (2024) - [i16]Ozan Vardal, Richard Hawkins, Colin Paterson, Chiara Picardi, Daniel Omeiza, Lars Kunze, Ibrahim Habli:
Learning Run-time Safety Monitors for Machine Learning Components. CoRR abs/2406.16220 (2024) - [i15]Daniel Omeiza, Pratik Somaiya, Jo-Ann Pattinson, Carolyn Ten Holter, Jack Stilgoe, Marina Jirotka, Lars Kunze:
S-RAF: A Simulation-Based Robustness Assessment Framework for Responsible Autonomous Driving. CoRR abs/2408.08584 (2024) - [i14]Daniel Omeiza, Raunak Bhattacharyya, Marina Jirotka, Nick Hawes, Lars Kunze:
A Transparency Paradox? Investigating the Impact of Explanation Specificity and Autonomous Vehicle Perceptual Inaccuracies on Passengers. CoRR abs/2408.08785 (2024) - 2023
- [c9]Pawit Kochakarn, Daniele De Martini, Daniel Omeiza, Lars Kunze:
Explainable Action Prediction through Self-Supervision on Scene Graphs. ICRA 2023: 1479-1485 - [c8]Marc Alexander Kühn, Daniel Omeiza, Lars Kunze:
Textual Explanations for Automated Commentary Driving. IV 2023: 1-6 - [i13]Pawit Kochakarn, Daniele De Martini, Daniel Omeiza, Lars Kunze:
Explainable Action Prediction through Self-Supervision on Scene Graphs. CoRR abs/2302.03477 (2023) - [i12]Marc Alexander Kühn, Daniel Omeiza, Lars Kunze:
Textual Explanations for Automated Commentary Driving. CoRR abs/2304.08178 (2023) - [i11]Daniel Omeiza, Raunak Bhattacharyya, Nick Hawes, Marina Jirotka, Lars Kunze:
Effects of Explanation Specificity on Passengers in Autonomous Driving. CoRR abs/2307.00633 (2023) - [i10]George Drayson, Efimia Panagiotaki, Daniel Omeiza, Lars Kunze:
CC-SGG: Corner Case Scenario Generation using Learned Scene Graphs. CoRR abs/2309.09844 (2023) - 2022
- [j2]Daniel Omeiza
, Helena Webb, Marina Jirotka, Lars Kunze:
Explanations in Autonomous Driving: A Survey. IEEE Trans. Intell. Transp. Syst. 23(8): 10142-10162 (2022) - [c7]Houston Claure, Mai Lee Chang, Seyun Kim, Daniel Omeiza, Martim Brandao, Min Kyung Lee, Malte F. Jung:
Fairness and Transparency in Human-Robot Interaction. HRI 2022: 1244-1246 - [c6]Daniel Omeiza, Sule Anjomshoae, Helena Webb, Marina Jirotka, Lars Kunze:
From Spoken Thoughts to Automated Driving Commentary: Predicting and Explaining Intelligent Vehicles' Actions. IV 2022: 1040-1047 - [i9]Daniel Omeiza, Sule Anjomshoae, Helena Webb, Marina Jirotka, Lars Kunze:
From Spoken Thoughts to Automated Driving Commentary: Predicting and Explaining Intelligent Vehicles' Actions. CoRR abs/2204.09109 (2022) - 2021
- [j1]Sule Anjomshoae, Daniel Omeiza, Lili Jiang:
Context-based image explanations for deep neural networks. Image Vis. Comput. 116: 104310 (2021) - [c5]Daniel Omeiza, Konrad Kollnig, Helena Webb, Marina Jirotka, Lars Kunze:
Why Not Explain? Effects of Explanations on Human Perceptions of Autonomous Driving. ARSO 2021: 194-199 - [c4]Daniel Omeiza, Sule Anjomshoae, Konrad Kollnig, Oana-Maria Camburu, Kary Främling, Lars Kunze:
Towards Explainable and Trustworthy Autonomous Physical Systems. CHI Extended Abstracts 2021: 88:1-88:3 - [c3]Richa Nahata, Daniel Omeiza, Rhys Howard, Lars Kunze:
Assessing and Explaining Collision Risk in Dynamic Environments for Autonomous Driving Safety. ITSC 2021: 223-230 - [c2]Daniel Omeiza, Helena Webb, Marina Jirotka, Lars Kunze:
Towards Accountability: Providing Intelligible Explanations in Autonomous Driving. IV 2021: 231-237 - [c1]Konrad Kollnig, Pierre Dewitte, Max Van Kleek, Ge Wang, Daniel Omeiza, Helena Webb, Nigel Shadbolt:
A Fait Accompli? An Empirical Study into the Absence of Consent to Third-Party Tracking in Android Apps. SOUPS @ USENIX Security Symposium 2021: 181-196 - [i8]Daniel Omeiza, Helena Webb, Marina Jirotka, Lars Kunze:
Explanations in Autonomous Driving: A Survey. CoRR abs/2103.05154 (2021) - [i7]Konrad Kollnig, Reuben Binns, Pierre Dewitte, Max Van Kleek, Ge Wang, Daniel Omeiza, Helena Webb, Nigel Shadbolt:
A Fait Accompli? An Empirical Study into the Absence of Consent to Third-Party Tracking in Android Apps. CoRR abs/2106.09407 (2021)
2010 – 2019
- 2019
- [i6]Daniel Omeiza:
Efficient Machine Learning for Large-Scale Urban Land-Use Forecasting in Sub-Saharan Africa. CoRR abs/1908.00340 (2019) - [i5]Daniel Omeiza, Skyler Speakman, Celia Cintas, Komminist Weldemariam:
Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models. CoRR abs/1908.01224 (2019) - [i4]Daniel Omeiza:
A Step Towards Exposing Bias in Trained Deep Convolutional Neural Network Models. CoRR abs/1912.02094 (2019) - 2018
- [i3]Daniel Omeiza, Jemima Owusu-Tweneboah:
Web Security Investigation through Penetration Tests: A Case study of an Educational Institution Portal. CoRR abs/1811.01388 (2018) - [i2]Daniel K. Nkemelu, Daniel Omeiza, Nancy Lubalo:
Deep Convolutional Neural Network for Plant Seedlings Classification. CoRR abs/1811.08404 (2018) - [i1]Daniel Omeiza, Kayode Sakariyah Adewole, Daniel K. Nkemelu:
EEG-based Communication with a Predictive Text Algorithm. CoRR abs/1812.05945 (2018)
Coauthor Index
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