5 papers
Understanding the Implicit User Intention via Reasoning with Large Language Model for Image Editing
Yijia Wang, Yiqing Shen, Weiming Chen +1
Existing image editing methods can handle simple editing instructions very well. To deal with complex editing instructions, they often need to jointly fine-tune the large language…
Generative Semantic Coding for Ultra-Low Bitrate Visual Communication and Analysis
Weiming Chen, Yijia Wang, Zhihan Zhu +1
We consider the problem of ultra-low bit rate visual communication for remote vision analysis, human interactions and control in challenging scenarios with very low communication b…
Runge-Kutta Approximation and Decoupled Attention for Rectified Flow Inversion and Semantic Editing
Weiming Chen, Zhihan Zhu, Yijia Wang +1
Rectified flow (RF) models have recently demonstrated superior generative performance compared to DDIM-based diffusion models. However, in real-world applications, they suffer from…
Influence Maximization in Multi-layer Social Networks Based on Differentiated Graph Embeddings
Ronghua Lin, Runbin Yao, Yijia Wang +3
Identifying influential nodes is crucial in social network analysis. Existing methods often neglect local opinion leader tendencies, resulting in overlapping influence ranges for s…
CVBench: Benchmarking Cross-Video Synergies for Complex Multimodal Reasoning
Nannan Zhu, Yonghao Dong, Teng Wang +9
While multimodal large language models (MLLMs) exhibit strong performance on single-video tasks (e.g., video question answering), their capability for spatiotemporal pattern reason…