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Shiwei Shen

2 accepted papers

2026

Human2Robot: Learning Robot Actions from Paired Human-Robot Videos

AAAI 2026technical

Distilling knowledge from human demonstrations is a promising way for robots to learn and act. Existing methods, which often rely on coarsely-aligned video pairs, are typically constrained to learning global or task-level features. As a result, they tend to neglect the fine-grained frame-level dynam

Cited by 0SourcePDFScholar
2019

APE-GAN: Adversarial Perturbation Elimination with GAN

ICASSP 2019accepted

Although Deep Neural Networks could achieve state-of-the-art performance while recongnizing images, they often suffer a tremendous defeat from adversarial examples-inputs generated by utilizing imperceptible but intentional perturbations to samples from the datasets. So far, very few methods have pr…

Cited by 0SourceScholar