3 papers
cs.RO2026
Learning Object-Centric Spatial Reasoning for Sequential Manipulation in Cluttered Environments
Chrisantus Eze, Ryan C Julian, Christopher Crick
Robotic manipulation in cluttered environments presents a critical challenge for automation. Recent large-scale, end-to-end models demonstrate impressive capabilities but often lac…
cs.RO2025
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…
cs.LG2024
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…