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Trevine Oorloff

3 accepted papers

2025

Stable Diffusion Models are Secretly Good at Visual In-Context Learning

ICCV 2025poster

Large language models (LLM) in natural language processing (NLP) have demonstrated great potential for in-context learning (ICL) -- the ability to leverage a few set of example prompts to adapt to various tasks without having to explicitly update model weights. ICL has recently been explored for the…

Cited by 0SourcePDFScholar
2024

AVFF: Audio-Visual Feature Fusion for Video Deepfake Detection

CVPR 2024poster

With the rapid growth in deepfake video content we require improved and generalizable methods to detect them. Most existing detection methods either use uni-modal cues or rely on supervised training to capture the dissonance between the audio and visual modalities. While the former disregards the au…

Cited by 18SourcePDFScholar