3 papers
cs.CV2026
NoiseSDF2NoiseSDF: Learning Clean Neural Fields from Noisy Supervision
Tengkai Wang, Weihao Li, Ruikai Cui +2
Reconstructing accurate implicit surface representations from point clouds remains a challenging task, particularly when data is captured using low-quality scanning devices. These…
cs.CV2026
AusSmoke meets MultiNatSmoke: a fully-labelled diverse smoke segmentation dataset
Weihao Li, Hongjin Zhao, Gao Zhu +4
Wildfires are an escalating global concern due to the devastating impacts on the environment, economy, and human health, with notable incidents such as the 2019-2020 Australian bus…
cs.CV2025
SmokeBench: Evaluating Multimodal Large Language Models for Wildfire Smoke Detection
Tianye Qi, Weihao Li, Nick Barnes
Wildfire smoke is transparent, amorphous, and often visually confounded with clouds, making early-stage detection particularly challenging. In this work, we introduce a benchmark,…