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Sangyun Shin

2 papers indexed

arxivcs.CV2026-07-07

CAIRN: Cross-Room 3D Scene Understanding with Topology-Aware Large Multimodal Models

He Liang, Chenyang Ma, Yiming Zhang, Sangyun Shin, Andrew Markham, Niki Trigoni, et al.

Existing 3D scene-grounded Large Language Models (3D-LLMs) focus on answering questions grounded in simplified single-room 3D scenes, lacking the ability to reason over real-world household environments containing multiple interconnected rooms and diverse object categories. We in…

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arxivcs.CV2026-07-05

A non-invasive video-based method for individual identification of wildlife using gait dynamics

Muhammad Aamir, Matthew Wijers, Sangyun Shin, Andrew Loveridge, Andrew Markham

Gait is a distinctive behavioral characteristic that enables non-invasive individual identification without requiring physical interaction with an animal. While gait-based analysis has been extensively studied in humans, its application to wildlife remains limited due to environm…

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