Tao Hu

Computer Vision & Learning Group
Akademiestr. 7,Munich
Ludwig Maximilian University of Munich
I am a PostDoc Researcher with Bjorn Ommer in Ommer-Group ( Stable Diffusion Group ). I finished my PhD at VISLab, University of Amsterdam, supervised by Cees Snoek and Pascal Mettes. Closely coorporated with David W Zhang, Yuki Asano, Basura Fernando.
Open to discussion and collaboration, feel free to send an email or message on WeChat.
Focused on introducing inductive bias into neural network to achieve data-efficiency by few-shot learning, generative model, etc. Have a conviction that generative modelling will be the future of discriminative modelling.
I'm on the job market. Feel free to contact me. [Generative AI Expert]
Publication
| GitHub
| CV(updated in Nov.2023)
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LinkedIn
| Research Note
| Chat with me
|Wechat

News
Nov 20, 2023 |
An extension paper on self-guided diffusion models has been submitted, co-authored by Mathilde Caron and Yuki Asano. Stay tuned for updates. ![]() |
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Aug 7, 2023 | I am selected for CVPR 2023, ICCV 2023, and BMVC 2023 Doctoral Consortium. Here is the Summary of my PhD Research. |
Jun 29, 2023 |
Two papers about the flow matching are submitted, thanks to my coorporators~ ![]() ![]() |
May 22, 2023 | Happy to present my works at FoMo lectures, KAUST, JiangMen. Thanks for the invitation from Peter Bloem, Bernard. |
Jan 29, 2023 |
Committee members confirmed: Theo Gevers, Marcel Worring, Efstratios Gavves, Bernard Ghanem, Tim Salimans. ![]() |
Selected publications
2024
2023
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On the Few-Shot Generalization of Learning on Implicit Neural RepresentationsIn ICCV NeRF4ADR Workshop, 2023Explore few-shot generalization of INR on images.
Misc
Youtube(For Fun): Vincent Talk
Chainlink hodler.