Tan M. Dinh

I am an AI Engineer at VinAI. Before that, I was an AI Resident at here, where I conducted research on computer vision and deep generative models, under the supervision of Dr. Binh-Son Hua, Dr. Rang Nguyen, and Dr. Anh Tran.

I obtained my Bachelor of Engineering Degree on Computer Science in Honors Program with the highest rank at Ho Chi Minh City University of Technology (HCMUT) in 2020.

I am interested in computer vision, GAN-inversion and applications such as real face reconstruction and manipulation, language and vision learning such as text-to-image synthesis.

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We develop a novel entirely encoder-based two-stage StyleGAN inversion method, which can obtain the superiority of reconstruction quality, editability, and fast inference at the same time by employing the idea of hypernetworks.

We identify several pitfalls in the existing evaluation pipeline of text-to-image synthesis models, and propose a set of metrics combining the improved versions of existing metrics and new ones to form a unified evaluation toolbox, so-called TISE, for benchmarking text-to-images models fairly, robustly, and consistently.

• [February 2022 - present]    AI Engineer @ VinAI
• [April 2020 - January 2022]   AI Research Resident, Computer Vision Group @ VinAI
• [April 2019 - January 2020]   Data Scientist Collaborator, R&D Lab @ Zalo, VNG

• [November 2020] Graduate Gold Medal from Ho Chi Minh City University of Technology (HCMUT) for the student, who graduted with highest rank in the program. [photo]

Last update: April 9, 2022

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