David S. W. Williams

According to our database, David S. W. Williams authored at least 7 papers between 2020 and 2024.

Collaborative distances:

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

2024

Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation From Unlabeled Data.

David S. W. Williams, Daniele De Martini, Matthew Gadd, Paul Newman

IEEE Trans. Robotics, 2024

Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation from Unlabelled Data.

David S. W. Williams, Daniele De Martini, Matthew Gadd, Paul Newman

CoRR, 2024

Masked Gamma-SSL: Learning Uncertainty Estimation via Masked Image Modeling.

David S. W. Williams, Matthew Gadd, Paul Newman, Daniele De Martini

CoRR, 2024

Masked γ-SSL: Learning Uncertainty Estimation via Masked Image Modeling.

David S. W. Williams, Matthew Gadd, Paul Newman, Daniele De Martini

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Doppler-Aware Odometry from FMCW Scanning Radar.

Fraser Rennie, David S. W. Williams, Paul Newman, Daniele De Martini

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2021

Fool Me Once: Robust Selective Segmentation via Out-of-Distribution Detection with Contrastive Learning.

David S. W. Williams, Matthew Gadd, Daniele De Martini, Paul M. Newman

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Keep off the Grass: Permissible Driving Routes from Radar with Weak Audio Supervision.

David S. W. Williams, Daniele De Martini, Matthew Gadd, Letizia Marchegiani, Paul Newman

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020