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Greg Mori

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Preprint Sep 2026

Video-STLayout Pre-training

In recent years, pre-training has become fundamental to learning effective video representations, enabling strong transfer to downstream tasks. A popular framework in pre-training involves aligning features of a video encoder with that of another modality, for example, language or audio. We introduce Video-STLayout pre...

Akash Abdu Jyothi, Greg Mori · 0 citations
#artificial intelligence Preprint Apr 2026

FairNVT: Fair Classification via Noise Injection in Vision Transformers

A lightweight debiasing framework for pretrained transformer-based encoders that improves prediction fairness while preserving task performance and reduces sensitive-attribute attacker accuracy, improves fairness metrics such as demographic parity difference and equalized odds, and maintains competitive task performanc...

Qiaoyue Tang, Sepidehsadat Hosseini, Mengyao Zhai et al. · 0 citations

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