4 papers · 1 filter
Amplify What You Gaze At: Target Saliency Boosting in Text-to-Image Generation
Shengqi Dang, Zhengxi Yu, Feilin Han +2
Text-to-image generation has advanced in controlling what, where, and how objects appear, yet how visual attention is distributed among objects remains largely unexplored. In this…
Drift-Aware Multimodal User Representation Learning via Multi-Scale Temporal Modeling and Sparse Mixture-of-Experts
Ziqing Qian, Haohang Chen, Shengqi Dang +4
Understanding user preferences from noisy and temporally evolving social media behaviors is fundamentally challenging due to interest drift, where user preferences shift across tim…
From Latent Influence to Language: Diffusion-Oriented Content Generation via Audience-Susceptible Features
Jiaying Lei, Shengqi Dang, Runqian Bai +2
The rapid growth of multimodal user-generated content on social media has made information diffusion a critical factor for advertisers and brand marketers. However, manually tailor…
CogBlender: Towards Continuous Cognitive Intervention in Text-to-Image Generation
Shengqi Dang, Yi He, Jiaying Lei +2
Beyond conveying semantic information, images also possess cognitive properties that elicit specific psychological responses from viewers, such as memory encoding or emotional reac…