3 citations · 8 across the 6 of their papers we have counts for
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cs.LG2024★ 1 cited
Data-Driven Fairness Generalization for Deepfake Detection
Uzoamaka Ezeakunne, Chrisantus Eze, Xiuwen Liu
Despite the progress made in deepfake detection research, recent studies have shown that biases in the training data for these detectors can result in varying levels of performance…
cs.LG2024
A3: Active Adversarial Alignment for Source-Free Domain Adaptation
Chrisantus Eze, Christopher Crick
Unsupervised domain adaptation (UDA) aims to transfer knowledge from a labeled source domain to an unlabeled target domain. Recent works have focused on source-free UDA, where only…
cs.RO2024★ 3 cited
Learning by Watching: A Review of Video-based Learning Approaches for Robot Manipulation
Chrisantus Eze, Christopher Crick
Robot learning of manipulation skills is hindered by the scarcity of diverse, unbiased datasets. While curated datasets can help, challenges remain in generalizability and real-wor…