2 citations · 2 across the 5 of their papers we have counts for
5 papers · 1 filter
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…
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,…
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…
SDI-Paste: Synthetic Dynamic Instance Copy-Paste for Video Instance Segmentation
Sahir Shrestha, Weihao Li, Gao Zhu +1
Data augmentation methods such as Copy-Paste have been studied as effective ways to expand training datasets while incurring minimal costs. While such methods have been extensively…
Generalised Co-Salient Object Detection
Jiawei Liu, Jing Zhang, Ruikai Cui +3
We propose a new setting that relaxes an assumption in the conventional Co-Salient Object Detection (CoSOD) setting by allowing the presence of "noisy images" which do not show the…