Jiankang Deng

I am a computer vision researcher. My recent research explores (1) multi-modality foundation models, focusing on perceiving, understanding, modeling, and replicating complex human intelligence, and (2) generative modeling of the physical world, aiming at synthesizing scalable and reliable digital twins of real-world entities. My research is at the intersection of computer vision and practical applications, striving to pioneer transformative technologies for social benefit.

Previously, I obtained my Ph.D.(2020) from the IBUG group under the supervision of Prof. Stefanos Zafeiriou. My doctoral research focused on deep face analysis and modeling, encompassing efficient geometry estimation, robust feature embedding, and photorealistic texture modeling. I developed algorithms and systems (InsightFace.ai) to capture, represent, and synthesize diverse human faces with high efficiency, robustness, and fidelity. Additionally, I worked in the field of visual representation learning and won many visual perception challenges (e.g., ImageNet and ActivityNet) in the past years.

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