Samuel Hodgson — accepted AI-conference papers

2025

DiffRefine: Diffusion-based Proposal Specific Point Cloud Densification for Cross-Domain Object Detection

Sangyun Shin, Yuhang He, Xinyu Hou, Samuel Hodgson, Andrew Markham, Niki Trigoni

ICCV 2025poster

The robustness of 3D object detection in large-scale outdoor point clouds degrades significantly when deployed in an unseen environment due to domain shifts. To minimize the domain gap, existing works on domain adaptive detection focuses on several factors, including point density, object shape and…

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2024

Dusk Till Dawn: Self-supervised Nighttime Stereo Depth Estimation using Visual Foundation Models

Madhu Vankadari, Samuel Hodgson, Sangyun Shin, Kaichen Zhou, Andrew Markham, Niki Trigoni

ICRA 2024poster

Self-supervised depth estimation algorithms rely heavily on frame-warping relationships, exhibiting substantial performance degradation when applied in challenging circumstances, such as low-visibility and nighttime scenarios with varying illumination conditions. Addressing this challenge, we introd…

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