5 papers
A paired synthetic construction-site image dataset for robust computer vision under adverse conditions
Viet Huy Duong, Ruoxin Xiong, Md Abdullah Al Forhad +1
Computer-vision systems used for construction monitoring can degrade under adverse environmental and visual conditions, yet such conditions remain underrepresented in existing cons…
Deep Active Re-Labeling: Toward Noise-Resilient Annotation Efficiency
Md Abdullah Al Forhad, Weishi Shi
While Deep Active Learning (DAL) effectively reduces human annotation costs, its efficacy is constrained by human annotation errors. This is because the data sampled for active lea…
Metric-Normalized Posterior Leakage (mPL): Attacker-Aligned Privacy for Joint Consumption
Gaoyi Chen, Minghao Li, Weishi Shi +4
Metric differential privacy (mDP) strengthens local differential privacy (LDP) by scaling noise to semantic distance, but many machine learning (ML) systems are consumed under join…
Towards Visual Query Segmentation in the Wild
Bing Fan, Minghao Li, Hanzhi Zhang +6
In this paper, we introduce visual query segmentation (VQS), a new paradigm of visual query localization (VQL) that aims to segment all pixel-level occurrences of an object of inte…
Unveiling Statistical Significance of Online Regression over Multiple Datasets
Mohammad Abu-Shaira, Weishi Shi
Despite extensive focus on techniques for evaluating the performance of two learning algorithms on a single dataset, the critical challenge of developing statistical tests to compa…