Tao Hu
Computer Vision & Learning Group
Akademiestr. 7,Munich
Ludwig Maximilian University of Munich
I am a Postdoctoral Research Fellow with Björn Ommer in Ommer-Lab ( Stable Diffusion Lab ), focused on exploring the scalability and generalization ablity of diffusion model in the nxtaim project. I finished my PhD at VISLab, University of Amsterdam, supervised by Cees Snoek and Pascal Mettes. Closely coorporated with David W Zhang, Basura Fernando.
I am recruiting for Bachelor, Master and PhD supervision in Munich and globally. If you're interested in collaborating, feel free to send an email.
Open to discussion and collaboration, feel free to send an email.
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.
Publication | GitHub | CV(updated in Nov.2023) |
LinkedIn | Research Note | Chat with me |Wechat |
news
Jul 01, 2024 | Two papers(including ZigMa) got accepted by ECCV! Also ZigMa: DiT-style Mamba-based diffusion models has been accepted as oral in ICML Workshop on Long Context Foundation Models (LCFM) |
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Jun 03, 2024 | Give a talk at Adobe Research and A-Star to introduce our work about ZigMa. |
Apr 14, 2024 | Co-hosting the ECCV 2024 AVGenL: Audio-Visual Generation and Learning workshop. |
Mar 29, 2024 | I am honored to be invited as the Area Chair of AI for Content Creation Workshop @ CVPR 2024 and Efficient Large Vision Models Workshop @ CVPR 2024. |
Dec 11, 2023 | An editing method on latent flow matching is accepted by AAAI 2024 |