Tao Hu

2024

1. ToddlerDiffusion: Flash Interpretable Controllable Diffusion Model

   Eslam Mohamed BAKR, Liangbing Zhao, Vincent Tao Hu, Matthieu Cord, Patrick Perez, and Mohamed Elhoseiny

   In Submission, 2024

   Bib PDF

   @inproceedings{ToddlerDiffusion,
     title = {ToddlerDiffusion: Flash Interpretable Controllable Diffusion Model},
     author = {BAKR, Eslam Mohamed and Zhao, Liangbing and Hu, Vincent Tao and Cord, Matthieu and Perez, Patrick and Elhoseiny, Mohamed},
     year = {2024},
     booktitle = {Submission},
   }

2023

1. 

   Generative Data Augmentation Improves Scribble-supervised Semantic Segmentation

   Jacob Schnell, Jieke Wang, Lu Qi, Vincent Tao Hu, and Meng Tang

   In ARXIV, 2023

   Explore diffusion model for data augmention in segmentation task.

   Bib PDF

   @inproceedings{hu_fsinr,
     title = {Generative Data Augmentation Improves Scribble-supervised Semantic Segmentation},
     author = {Schnell, Jacob and Wang, Jieke and Qi, Lu and Hu, Vincent Tao and Tang, Meng},
     year = {2023},
     booktitle = {ARXIV},
   }

2. 

   On the Few-Shot Generalization of Learning on Implicit Neural Representations

   Tao Hu, David W Zhang, Yunlu Chen, Teng Long, Yuki Asano, Pascal Mettes, Efstratios Gavves, Basura Fernando, and Cees G.M. Snoek

   In ICCV NeRF4ADR Workshop, 2023

   Explore few-shot generalization of INR on images.

   Bib

   @inproceedings{hu_fsins,
     title = {On the Few-Shot Generalization of Learning on Implicit Neural Representations},
     author = {Hu, Tao and Zhang, David W and Chen, Yunlu and Long, Teng and Asano, Yuki and Mettes, Pascal and Gavves, Efstratios and Fernando, Basura and Snoek, Cees G.M.},
     year = {2023},
     booktitle = {ICCV NeRF4ADR Workshop},
   }

3. 

   Flow Matching for Conditional Text Generation in a Single Sampling Step

   Tao Hu, Di Wu, Yuki M. Asano, Pascal Mettes, Basura Fernando, and Cees G.M. Snoek

   In Submission, 2023

   Flow Matching for text generation

   Bib Website

   @inproceedings{huflowseq,
     title = {Flow Matching for Conditional Text Generation in a Single Sampling Step},
     author = {Hu, Tao and Wu, Di and Asano, Yuki M. and Mettes, Pascal and Fernando, Basura and Snoek, Cees G.M.},
     year = {2023},
     booktitle = {Submission},
   }

4. 

   Latent Space Editing in Transformer-based Flow Matching

   Tao Hu, David W Zhang, Pascal Mettes, Meng Tang, Deli Zhao, and Cees G.M. Snoek

   In ICML 2023 Workshop, New Frontiers in Learning, Control, and Dynamical Systems, 2023

   Bib PDF Code Poster Website

   @inproceedings{hulfm,
     title = {Latent Space Editing in Transformer-based Flow Matching},
     author = {Hu, Tao and Zhang, David W and Mettes, Pascal and Tang, Meng and Zhao, Deli and Snoek, Cees G.M.},
     year = {2023},
     booktitle = {ICML 2023 Workshop, New Frontiers in Learning, Control, and Dynamical Systems},
   }

5. 

   Self-Guided Diffusion Models

   Tao Hu*, David W Zhang*, Yuki M. Asano, Gertjan J. Burghouts, and Cees G.M. Snoek

   In CVPR, 2023

   A bridge between the community of self-supervised learning and diffusion models. Short version to appear in NeurIPS 2022 Workshop on Score-Based Methods and NeurIPS 2022 Workshop Self-Supervised Learning Theory and Practice.

   Bib PDF Code Website

   @inproceedings{hu2022selfguided,
     title = {Self-Guided Diffusion Models},
     author = {Hu*, Tao and Zhang*, David W and Asano, Yuki M. and Burghouts, Gertjan J. and Snoek, Cees G.M.},
     year = {2023},
     booktitle = {CVPR},
                      NeurIPS 2022 Workshop Self-Supervised Learning Theory and Practice.},
   }