Nicholas Apostoloff

According to our database, Nicholas Apostoloff authored at least 24 papers between 2002 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, 2023

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

Proceedings of the IEEE International Conference on Acoustics, 2023

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

FedEmbed: Personalized Private Federated Learning.

Andrew Silva, Katherine Metcalf, Nicholas Apostoloff, Barry-John Theobald

CoRR, 2022

FORML: Learning to Reweight Data for Fairness.

Bobby Yan, Skyler Seto, Nicholas Apostoloff

CoRR, 2022

Self-conditioning Pre-Trained Language Models.

Xavier Suau Cuadros, Luca Zappella, Nicholas Apostoloff

Proceedings of the International Conference on Machine Learning, 2022

2021

Challenges of Adversarial Image Augmentations.

Arno Blaas, Xavier Suau, Jason Ramapuram, Nicholas Apostoloff, Luca Zappella

Proceedings of the I (Still) Can't Believe It's Not Better! Workshop at NeurIPS 2021, 2021

Multimodal Punctuation Prediction with Contextual Dropout.

Andrew Silva, Barry-John Theobald, Nicholas Apostoloff

Proceedings of the IEEE International Conference on Acoustics, 2021

MorphGAN: One-Shot Face Synthesis GAN for Detecting Recognition Bias.

Nataniel Ruiz, Barry-John Theobald, Anurag Ranjan, Ahmed Hussen Abdelaziz, Nicholas Apostoloff

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Fair SA: Sensitivity Analysis for Fairness in Face Recognition.

Aparna R. Joshi, Xavier Suau Cuadros, Nivedha Sivakumar, Luca Zappella, Nicholas Apostoloff

Proceedings of the Algorithmic Fairness through the Lens of Causality and Robustness Workshop, 2021

2020

Finding Experts in Transformer Models.

Xavier Suau, Luca Zappella, Nicholas Apostoloff

CoRR, 2020

Filter Distillation for Network Compression.

Xavier Suau, Luca Zappella, Nicholas Apostoloff

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Modality Dropout for Improved Performance-driven Talking Faces.

Ahmed Hussen Abdelaziz, Barry-John Theobald, Paul Dixon, Reinhard Knothe, Nicholas Apostoloff, Sachin Kajareker

Proceedings of the ICMI '20: International Conference on Multimodal Interaction, 2020

2019

Mirroring to Build Trust in Digital Assistants.

Katherine Metcalf, Barry-John Theobald, Garrett Weinberg, Robert Lee, Ing-Marie Jonsson, Russ Webb, Nicholas Apostoloff

Proceedings of the Interspeech 2019, 2019

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

Proceedings of the International Conference on Multimodal Interaction, 2019

2018

Principal Filter Analysis for Guided Network Compression.

Xavier Suau, Luca Zappella, Vinay Palakkode, Nicholas Apostoloff

CoRR, 2018

Learning Sharing Behaviors with Arbitrary Numbers of Agents.

Katherine Metcalf, Barry-John Theobald, Nicholas Apostoloff

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2006

Automatic Video Segmentation using Spatiotemporal T-Junctions.

Nicholas Apostoloff, Andrew W. Fitzgibbon

Proceedings of the British Machine Vision Conference 2006, 2006

2005

Learning Spatiotemporal T-Junctions for Occlusion Detection.

Nicholas Apostoloff, Andrew W. Fitzgibbon

Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004

Vision In and Out of Vehicles: Integrated Driver and Road Scene Monitoring.

Nicholas Apostoloff, Alexander Zelinsky

Int. J. Robotics Res., 2004

Bayesian Video Matting Using Learnt Image Priors.

Nicholas Apostoloff, Andrew W. Fitzgibbon

Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003

Vision in and out of Vehicles.

Luke Fletcher, Nicholas Apostoloff, Lars Petersson, Alexander Zelinsky

IEEE Intell. Syst., 2003

Driver assistance: an integration of vehicle monitoring and control.

Lars Petersson, Nicholas Apostoloff, Alexander Zelinsky

Proceedings of the 2003 IEEE International Conference on Robotics and Automation, 2003

2002

An Adaptive Fusion Architecture for Target Tracking.

Gareth Loy, Luke Fletcher, Nicholas Apostoloff, Alexander Zelinsky

Proceedings of the 5th IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2002), 2002