Daniel Omeiza

29 papers A* 2C 3Journal 19Unranked 5
YearRankTypeTitle / Venue / Authors
2024 J jnl
A Transparency Paradox? Investigating the Impact of Explanation Specificity and Autonomous Vehicle Perceptual Inaccuracies on Passengers.
CoRR
Daniel Omeiza, Raunak Bhattacharyya, Marina Jirotka, Nick Hawes, Lars Kunze
2024 J jnl
Learning Run-time Safety Monitors for Machine Learning Components.
CoRR
Ozan Vardal, Richard Hawkins, Colin Paterson, Chiara Picardi, Daniel Omeiza, Lars Kunze, Ibrahim Habli
2024 J jnl
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model.
CoRR
Jianhao Yuan, Shuyang Sun, Daniel Omeiza, Bo Zhao, Paul Newman, Lars Kunze, Matthew Gadd
2024 — conf
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Multi-Modal Large Language Model Learning.
Robotics: Science and Systems
Jianhao Yuan, Shuyang Sun, Daniel Omeiza, Bo Zhao, Paul Newman, Lars Kunze, Matthew Gadd
2024 J jnl
S-RAF: A Simulation-Based Robustness Assessment Framework for Responsible Autonomous Driving.
CoRR
Daniel Omeiza, Pratik Somaiya, Jo-Ann Pattinson, Carolyn Ten Holter, Jack Stilgoe, Marina Jirotka, Lars Kunze
2023 J jnl
CC-SGG: Corner Case Scenario Generation using Learned Scene Graphs.
CoRR
George Drayson, Efimia Panagiotaki, Daniel Omeiza, Lars Kunze
2023 J jnl
Effects of Explanation Specificity on Passengers in Autonomous Driving.
CoRR
Daniel Omeiza, Raunak Bhattacharyya, Nick Hawes, Marina Jirotka, Lars Kunze
2023 A* conf
Explainable Action Prediction through Self-Supervision on Scene Graphs.
ICRA
Pawit Kochakarn, Daniele De Martini, Daniel Omeiza, Lars Kunze
2023 J jnl
Explainable Action Prediction through Self-Supervision on Scene Graphs.
CoRR
Pawit Kochakarn, Daniele De Martini, Daniel Omeiza, Lars Kunze
2023 C conf
Textual Explanations for Automated Commentary Driving.
IV
Marc Alexander Kühn, Daniel Omeiza, Lars Kunze
2023 J jnl
Textual Explanations for Automated Commentary Driving.
CoRR
Marc Alexander Kühn, Daniel Omeiza, Lars Kunze
2022 J jnl
Explanations in Autonomous Driving: A Survey.
IEEE Trans. Intell. Transp. Syst.
Daniel Omeiza, Helena Webb, Marina Jirotka, Lars Kunze
2022 A* conf
Fairness and Transparency in Human-Robot Interaction.
HRI
Houston Claure, Mai Lee Chang, Seyun Kim, Daniel Omeiza, Martim Brandao, Min Kyung Lee, Malte F. Jung
2022 C conf
From Spoken Thoughts to Automated Driving Commentary: Predicting and Explaining Intelligent Vehicles' Actions.
IV
Daniel Omeiza, Sule Anjomshoae, Helena Webb, Marina Jirotka, Lars Kunze
2022 J jnl
From Spoken Thoughts to Automated Driving Commentary: Predicting and Explaining Intelligent Vehicles' Actions.
CoRR
Daniel Omeiza, Sule Anjomshoae, Helena Webb, Marina Jirotka, Lars Kunze
2021 — conf
A Fait Accompli? An Empirical Study into the Absence of Consent to Third-Party Tracking in Android Apps.
SOUPS @ USENIX Security Symposium
Konrad Kollnig, Pierre Dewitte, Max Van Kleek, Ge Wang, Daniel Omeiza, Helena Webb, Nigel Shadbolt
2021 J jnl
A Fait Accompli? An Empirical Study into the Absence of Consent to Third-Party Tracking in Android Apps.
CoRR
Konrad Kollnig, Reuben Binns, Pierre Dewitte, Max Van Kleek, Ge Wang, Daniel Omeiza, Helena Webb, Nigel Shadbolt
2021 — conf
Assessing and Explaining Collision Risk in Dynamic Environments for Autonomous Driving Safety.
ITSC
Richa Nahata, Daniel Omeiza, Rhys Howard, Lars Kunze
2021 J jnl
Context-based image explanations for deep neural networks.
Image Vis. Comput.
Sule Anjomshoae, Daniel Omeiza, Lili Jiang
2021 J jnl
Explanations in Autonomous Driving: A Survey.
CoRR
Daniel Omeiza, Helena Webb, Marina Jirotka, Lars Kunze
2021 C conf
Towards Accountability: Providing Intelligible Explanations in Autonomous Driving.
IV
Daniel Omeiza, Helena Webb, Marina Jirotka, Lars Kunze
2021 — conf
Towards Explainable and Trustworthy Autonomous Physical Systems.
CHI Extended Abstracts
Daniel Omeiza, Sule Anjomshoae, Konrad Kollnig, Oana-Maria Camburu, Kary Främling, Lars Kunze
2021 — conf
Why Not Explain? Effects of Explanations on Human Perceptions of Autonomous Driving.
ARSO
Daniel Omeiza, Konrad Kollnig, Helena Webb, Marina Jirotka, Lars Kunze
2019 J jnl
A Step Towards Exposing Bias in Trained Deep Convolutional Neural Network Models.
CoRR
Daniel Omeiza
2019 J jnl
Efficient Machine Learning for Large-Scale Urban Land-Use Forecasting in Sub-Saharan Africa.
CoRR
Daniel Omeiza
2019 J jnl
Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models.
CoRR
Daniel Omeiza, Skyler Speakman, Celia Cintas, Komminist Weldemariam
2018 J jnl
Deep Convolutional Neural Network for Plant Seedlings Classification.
CoRR
Daniel K. Nkemelu, Daniel Omeiza, Nancy Lubalo
2018 J jnl
EEG-based Communication with a Predictive Text Algorithm.
CoRR
Daniel Omeiza, Kayode Sakariyah Adewole, Daniel K. Nkemelu
2018 J jnl
Web Security Investigation through Penetration Tests: A Case study of an Educational Institution Portal.
CoRR
Daniel Omeiza, Jemima Owusu-Tweneboah