2 papers
cs.CV2026
GRACE: Boosting Video MLLMs with Grounded Action-Centric Evidence for Viewer Sentiment Prediction
Ruoxuan Yang, Tieyuan Chen, Xiaofeng Huang +6
Viewer sentiment prediction in video advertisements aims to infer the latent affective response evoked in the audience. To bridge the gap between what is shown and what is felt, mo…
cs.CV2024
One Step Learning, One Step Review
Xiaolong Huang, Qiankun Li, Xueran Li +1
Visual fine-tuning has garnered significant attention with the rise of pre-trained vision models. The current prevailing method, full fine-tuning, suffers from the issue of knowled…