Qinbo Li

I am a research scientist at Meta. I am interested in Computer Graphics, Computer Vision, Deep Learning, and more specifically, computational photography, 3D vision and view synthesis.

Before I joined Meta, I received my PhD. from Texas A&M University, advised by Dr. Yoonsuck Choe.

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We propose a pose-guided diffusion model to generate a consistent long-term video of novel views from a single image.

We propose to use visual, proprioceptive and kinesthetic inputs to learn to construct and use tools with hierarchical reinforcement learning.

We introduce an Audio-Visual Aggregation Network (AVAN) to aggregate multiple facial and voice information to improve face recognition performance.

Synthesize light fields from a single image on general scene. Introduced a light field dataset that includes indoor and outdoor scene.

Our research investigates approaches to enhance privacy while supporting legitimate access for human decision making in record linkage.

we investigate the dynamics of a simple recurrent neural network used in a nontrivial articulated limb control task in a tool use domain.

we investigate how the capability to use tools can spontaneously emerge in a simulated environment with Neuroevolution algorithm.

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Last updated Feb 2023.