Oiwi Parker Jones

Orcid: 0000-0003-0307-9837

According to our database1, Oiwi Parker Jones authored at least 30 papers between 2006 and 2024.

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Bibliography

2024
DreamUp3D: Object-Centric Generative Models for Single-View 3D Scene Understanding and Real-to-Sim Transfer.
IEEE Robotics Autom. Lett., 2024

Effects of word-level structure on oral stop realization in Hawaiian.
J. Phonetics, 2024

NeuGPT: Unified multi-modal Neural GPT.
CoRR, 2024

Resolving Domain Shift For Representations Of Speech In Non-Invasive Brain Recordings.
CoRR, 2024

Non-invasive Neural Decoding in Source Reconstructed Brain Space.
CoRR, 2024

The Brain's Bitter Lesson: Scaling Speech Decoding With Self-Supervised Learning.
CoRR, 2024

Foundational GPT Model for MEG.
CoRR, 2024

Mai Ho'om\=auna i ka 'Ai: Language Models Improve Automatic Speech Recognition in Hawaiian.
CoRR, 2024

2023
Interpretable many-class decoding for MEG.
NeuroImage, November, 2023

VAE-Loco: Versatile Quadruped Locomotion by Learning a Disentangled Gait Representation.
IEEE Trans. Robotics, October, 2023

Word-level prosodic and metrical influences on Hawaiian glottal stop realization.
Phonetica, June, 2023

2022
Reaching Through Latent Space: From Joint Statistics to Path Planning in Manipulation.
IEEE Robotics Autom. Lett., 2022

Composing RNNs and FSTs for Small Data: Recovering Missing Characters in Old Hawaiian Text.
CoRR, 2022

ObPose: Leveraging Canonical Pose for Object-Centric Scene Inference in 3D.
CoRR, 2022

Generalizing Brain Decoding Across Subjects with Deep Learning.
CoRR, 2022

Next Steps: Learning a Disentangled Gait Representation for Versatile Quadruped Locomotion.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Touching a NeRF: Leveraging Neural Radiance Fields for Tactile Sensory Data Generation.
Proceedings of the Conference on Robot Learning, 2022

2021
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

APEX: Unsupervised, Object-Centric Scene Segmentation and Tracking for Robot Manipulation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

There and Back Again: Learning to Simulate Radar Data for Real-World Applications.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Reconstruction Bottlenecks in Object-Centric Generative Models.
CoRR, 2020

First Steps: Latent-Space Control with Semantic Constraints for Quadruped Locomotion.
CoRR, 2020

First Steps: Latent-Space Control with Semantic Constraints for Quadruped Locomotion.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
A special role for the right posterior superior temporal sulcus during speech production.
NeuroImage, 2019

Imagine That! Leveraging Emergent Affordances for Tool Synthesis in Reaching Tasks.
CoRR, 2019

End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction with Relational Reasoning.
CoRR, 2019

2018
Recovering Missing Characters in Old Hawaiian Writing.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2008
Phonotactic Probability and the Maori Passive: A Computational Approach.
Proceedings of the Tenth Meeting of ACL Special Interest Group on Computational Morphology and Phonology, 2008

2006
Probabilities improve stress-prediction in a CFG of Hawaiian phonology.
Proceedings of the Australasian Language Technology Workshop, 2006


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