Daniel Omeiza

Orcid: 0000-0002-3844-5131

According to our database1, Daniel Omeiza authored at least 21 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model.
CoRR, 2024

2023
CC-SGG: Corner Case Scenario Generation using Learned Scene Graphs.
CoRR, 2023

Effects of Explanation Specificity on Passengers in Autonomous Driving.
CoRR, 2023

Textual Explanations for Automated Commentary Driving.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Explainable Action Prediction through Self-Supervision on Scene Graphs.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Explanations in Autonomous Driving: A Survey.
IEEE Trans. Intell. Transp. Syst., 2022

From Spoken Thoughts to Automated Driving Commentary: Predicting and Explaining Intelligent Vehicles' Actions.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Fairness and Transparency in Human-Robot Interaction.
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2022

2021
Context-based image explanations for deep neural networks.
Image Vis. Comput., 2021

A Fait Accompli? An Empirical Study into the Absence of Consent to Third-Party Tracking in Android Apps.
CoRR, 2021

A Fait Accompli? An Empirical Study into the Absence of Consent to Third-Party Tracking in Android Apps.
Proceedings of the Seventeenth Symposium on Usable Privacy and Security, 2021

Towards Accountability: Providing Intelligible Explanations in Autonomous Driving.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Assessing and Explaining Collision Risk in Dynamic Environments for Autonomous Driving Safety.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Towards Explainable and Trustworthy Autonomous Physical Systems.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Why Not Explain? Effects of Explanations on Human Perceptions of Autonomous Driving.
Proceedings of the International IEEE Conference on Advanced Robotics and Its Social Impacts, 2021

2019
A Step Towards Exposing Bias in Trained Deep Convolutional Neural Network Models.
CoRR, 2019

Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models.
CoRR, 2019

Efficient Machine Learning for Large-Scale Urban Land-Use Forecasting in Sub-Saharan Africa.
CoRR, 2019

2018
EEG-based Communication with a Predictive Text Algorithm.
CoRR, 2018

Deep Convolutional Neural Network for Plant Seedlings Classification.
CoRR, 2018

Web Security Investigation through Penetration Tests: A Case study of an Educational Institution Portal.
CoRR, 2018


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