3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2025
SGS: Segmentation-Guided Scoring for Global Scene Inconsistencies
Gagandeep Singh, Samudi Amarsinghe, Urawee Thani +3
We extend HAMMER, a state-of-the-art model for multimodal manipulation detection, to handle global scene inconsistencies such as foreground-background (FG-BG) mismatch. While HAMME…
cs.LG2025
Random Client Selection on Contrastive Federated Learning for Tabular Data
Achmad Ginanjar, Xue Li, Priyanka Singh +1
Vertical Federated Learning (VFL) has revolutionised collaborative machine learning by enabling privacy-preserving model training across multiple parties. However, it remains vulne…
cs.LG2025★ 3 cited
Continual Contrastive Learning on Tabular Data with Out of Distribution
Achmad Ginanjar, Xue Li, Priyanka Singh +1
Out-of-distribution (OOD) prediction remains a significant challenge in machine learning, particularly for tabular data where traditional methods often fail to generalize beyond th…