19 citations · 19 across the 5 of their papers we have counts for
7 papers · 1 filter
KD-CVG: A Knowledge-Driven Approach for Creative Video Generation
Linkai Liu, Wei Feng, Xi Zhao +9
Creative Generation (CG) leverages generative models to automatically produce advertising content that highlights product features, and it has been a significant focus of recent re…
RePainter: Empowering E-commerce Object Removal via Spatial-matting Reinforcement Learning
Zipeng Guo, Lichen Ma, Xiaolong Fu +13
In web data, product images are central to boosting user engagement and advertising efficacy on e-commerce platforms, yet the intrusive elements such as watermarks and promotional…
Logic Unseen: Revealing the Logical Blindspots of Vision-Language Models
Yuchen Zhou, Jiayu Tang, Shuo Yang +6
Vision-Language Models (VLMs), exemplified by CLIP, have emerged as foundational for multimodal intelligence. However, their capacity for logical understanding remains significantl…
Where, What, Why: Towards Explainable Driver Attention Prediction
Yuchen Zhou, Jiayu Tang, Xiaoyan Xiao +6
Modeling task-driven attention in driving is a fundamental challenge for both autonomous vehicles and cognitive science. Existing methods primarily predict where drivers look by ge…
Learning from Observer Gaze:Zero-Shot Attention Prediction Oriented by Human-Object Interaction Recognition
Yuchen Zhou, Linkai Liu, Chao Gou
Most existing attention prediction research focuses on salient instances like humans and objects. However, the more complex interaction-oriented attention, arising from the compreh…
M4CD: A Robust Change Detection Method for Intelligent Visual Surveillance
Kunfeng Wang, Chao Gou, Fei-Yue Wang
In this paper, we propose a robust change detection method for intelligent visual surveillance. This method, named M4CD, includes three major steps. Firstly, a sample-based backgro…