Lei Zhong

I'm a PhD student in the School of Informatics at the University of Edinburgh, supervised by Prof. Changjian Li. Before that, I received a Master's degree from Nankai University, supervised by Prof. Shao-ping Lu, and a Bachelor's degree from Southwest University.

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Research

My research interests lie at the intersection of vision and graphics. Recently, I have been focusing on 3D human motion modeling and generation. Some papers are highlighted.

This paper introduce a novel Recursive Fusion model, dubbed ReFu, designed to integrate point clouds and meshes for exemplar-free 3D Class-Incremental Learning.

This paper introduces SMooDi, which enables stylized motion generation by incorporating style motion sequences into a text-conditioned human motion generation model.

This paper introduces OmniControl, which incorporates flexible spatial control signals into a text-conditioned human motion generation model based on the diffusion process.

This paper proposes an aesthetic-guided outward image cropping method that extends beyond the image border to achieve compositions unattainable with previous methods.

This paper presents a graph-structured representation with BRNN for static-based facial expression recognition, achieving improved accuracy in recognizing facial expressions.