An Adaptive Fusion Architecture for Target Tracking. - Gareth Loy; Luke Fletcher; Nicholas Apostoloff; Alexander Zelinsky (FGR, 2002)

Driver assistance: an integration of vehicle monitoring and control. - Lars Petersson; Nicholas Apostoloff; Alexander Zelinsky (ICRA, 2003)

Vision in and out of Vehicles. - Luke Fletcher; Nicholas Apostoloff; Lars Petersson; Alexander Zelinsky (IEEE Intell. Syst., 2003)

Bayesian Video Matting Using Learnt Image Priors. - Nicholas Apostoloff; Andrew W. Fitzgibbon (CVPR (1), 2004)

Vision In and Out of Vehicles: Integrated Driver and Road Scene Monitoring. - Nicholas Apostoloff; Alexander Zelinsky (Int. J. Robotics Res., 2004)

Learning Spatiotemporal T-Junctions for Occlusion Detection. - Nicholas Apostoloff; Andrew W. Fitzgibbon (CVPR (2), 2005)

Automatic Video Segmentation using Spatiotemporal T-Junctions. - Nicholas Apostoloff; Andrew W. Fitzgibbon (BMVC, 2006)

Learning Sharing Behaviors with Arbitrary Numbers of Agents. - Katherine Metcalf; Barry-John Theobald; Nicholas Apostoloff (AAMAS, 2018)

Principal Filter Analysis for Guided Network Compression. - Xavier Suau; Luca Zappella; Vinay Palakkode; Nicholas Apostoloff (CoRR, 2018)

Speaker-Independent Speech-Driven Visual Speech Synthesis using Domain-Adapted Acoustic Models. - Ahmed Hussen Abdelaziz; Barry-John Theobald; Justin Binder; Gabriele Fanelli; Paul Dixon; Nicholas Apostoloff; Thibaut Weise; Sachin Kajareker (ICMI, 2019)

Mirroring to Build Trust in Digital Assistants. - Katherine Metcalf; Barry-John Theobald; Garrett Weinberg; Robert Lee; Ing-Marie Jonsson; Russ Webb; Nicholas Apostoloff (INTERSPEECH, 2019)

Modality Dropout for Improved Performance-driven Talking Faces. - Ahmed Hussen Abdelaziz; Barry-John Theobald; Paul Dixon; Reinhard Knothe; Nicholas Apostoloff; Sachin Kajareker (ICMI, 2020)

Filter Distillation for Network Compression. - Xavier Suau; Luca Zappella; Nicholas Apostoloff (WACV, 2020)

Finding Experts in Transformer Models. - Xavier Suau; Luca Zappella; Nicholas Apostoloff (CoRR, 2020)

Fair SA: Sensitivity Analysis for Fairness in Face Recognition. - Aparna R. Joshi; Xavier Suau Cuadros; Nivedha Sivakumar; Luca Zappella; Nicholas Apostoloff (AFCR, 2021)

MorphGAN: One-Shot Face Synthesis GAN for Detecting Recognition Bias. - Nataniel Ruiz; Barry-John Theobald; Anurag Ranjan; Ahmed Hussen Abdelaziz; Nicholas Apostoloff (BMVC, 2021)

Multimodal Punctuation Prediction with Contextual Dropout. - Andrew Silva; Barry-John Theobald; Nicholas Apostoloff (ICASSP, 2021)

Challenges of Adversarial Image Augmentations. - Arno Blaas; Xavier Suau; Jason Ramapuram; Nicholas Apostoloff; Luca Zappella (ICBINB@NeurIPS, 2021)

Self-conditioning Pre-Trained Language Models. - Xavier Suau Cuadros; Luca Zappella; Nicholas Apostoloff (ICML, 2022)

FORML: Learning to Reweight Data for Fairness. - Bobby Yan; Skyler Seto; Nicholas Apostoloff (CoRR, 2022)

FedEmbed: Personalized Private Federated Learning. - Andrew Silva; Katherine Metcalf; Nicholas Apostoloff; Barry-John Theobald (CoRR, 2022)

Towards a Perceptual Model for Estimating the Quality of Visual Speech. - Zakaria Aldeneh; Masha Fedzechkina; Skyler Seto; Katherine Metcalf; Miguel Sarabia; Nicholas Apostoloff; Barry-John Theobald (CoRR, 2022)

On the Role of LIP Articulation in Visual Speech Perception. - Zakaria Aldeneh; Masha Fedzechkina; Skyler Seto; Katherine Metcalf; Miguel Sarabia; Nicholas Apostoloff; Barry-John Theobald (ICASSP, 2023)

Spatial LibriSpeech: An Augmented Dataset for Spatial Audio Learning. - Miguel Sarabia; Elena Menyaylenko; Alessandro Toso; Skyler Seto; Zakaria Aldeneh; Shadi Pirhosseinloo; Luca Zappella; Barry-John Theobald; Nicholas Apostoloff; Jonathan Sheaffer (INTERSPEECH, 2023)

Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models. - Xavier Suau; Pieter Delobelle; Katherine Metcalf; Armand Joulin; Nicholas Apostoloff; Luca Zappella; Pau Rodríguez (ICML, 2024)

Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Models. - Natalie Mackraz; Nivedha Sivakumar; Samira Khorshidi; Krishna Patel; Barry-John Theobald; Luca Zappella; Nicholas Apostoloff (CoRR, 2024)

Controlling Language and Diffusion Models by Transporting Activations. - Pau Rodríguez; Arno Blaas; Michal Klein; Luca Zappella; Nicholas Apostoloff; Marco Cuturi; Xavier Suau (ICLR, 2025)

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs. - Yinong Oliver Wang; Nivedha Sivakumar; Falaah Arif Khan; Rin Metcalf Susa; Adam Golinski; Natalie Mackraz; Barry-John Theobald; Luca Zappella; Nicholas Apostoloff (CoRR, 2025)

Fairness Dynamics During Training. - Krishna Patel; Nivedha Sivakumar; Barry-John Theobald; Luca Zappella; Nicholas Apostoloff (CoRR, 2025)