Bihan Wen

Making Your First Choice: To Address Cold Start Problem in Vision Active Learning

2022 · arXiv (Cornell University)

Active learning promises to improve annotation efficiency by iteratively selecting the most important data to be annotated first. However, we uncover a striking contradiction to this promise: active learning fails to select data as efficiently …

EALD-MLLM: Emotion Analysis in Long-sequential and De-identity videos with Multi-modal Large Language Model

2024 · arXiv (Cornell University)

Emotion AI is the ability of computers to understand human emotional states. Existing works have achieved promising progress, but two limitations remain to be solved: 1) Previous studies have been more focused on short sequential …

Dual-head Genre-instance Transformer Network for Arbitrary Style Transfer

2024

Arbitrary style transfer aims to render artistic features from a style reference onto an image while retaining its original content. Previous methods either focus on learning the holistic style from a specific artist or extracting …