1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Distractors-Immune Representation Learning with Cross-modal Contrastive Regularization for Change Captioning
Yunbin Tu, Liang Li, Li Su +2
Change captioning aims to succinctly describe the semantic change between a pair of similar images, while being immune to distractors (illumination and viewpoint changes). Under th…
econ.EM2023★ 1 cited
Popularity, face and voice: Predicting and interpreting livestreamers' retail performance using machine learning techniques
Xiong Xiong, Fan Yang, Li Su
Livestreaming commerce, a hybrid of e-commerce and self-media, has expanded the broad spectrum of traditional sales performance determinants. To investigate the factors that contri…
cs.CV2023
Self-supervised Cross-view Representation Reconstruction for Change Captioning
Yunbin Tu, Liang Li, Li Su +3
Change captioning aims to describe the difference between a pair of similar images. Its key challenge is how to learn a stable difference representation under pseudo changes caused…