Vincent Tao Hu

According to our database, Vincent Tao Hu authored at least 17 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Retinex-Diffusion: On Controlling Illumination Conditions in Diffusion Models via Retinex Theory.

Xiaoyan Xing, Vincent Tao Hu, Jan Hendrik Metzen, Konrad Groh, Sezer Karaoglu, Theo Gevers

CoRR, 2024

Diffusion Models and Representation Learning: A Survey.

Michael Fuest, Pingchuan Ma, Ming Gui, Johannes S. Fischer, Vincent Tao Hu, Björn Ommer

CoRR, 2024

Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions.

Stefan Andreas Baumann, Felix Krause, Michael Neumayr, Nick Stracke, Vincent Tao Hu, Björn Ommer

CoRR, 2024

DepthFM: Fast Monocular Depth Estimation with Flow Matching.

Ming Gui, Johannes S. Fischer, Ulrich Prestel, Pingchuan Ma, Dmytro Kotovenko, Olga Grebenkova, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer

CoRR, 2024

Training Class-Imbalanced Diffusion Model Via Overlap Optimization.

Divin Yan, Lu Qi, Vincent Tao Hu, Ming-Hsuan Yang, Meng Tang

CoRR, 2024

ZigMa: A DiT-style Zigzag Mamba Diffusion Model.

Vincent Tao Hu, Stefan Andreas Baumann, Ming Gui, Olga Grebenkova, Pingchuan Ma, Johannes S. Fischer, Björn Ommer

Proceedings of the Computer Vision - ECCV 2024, 2024

Flow Matching for Conditional Text Generation in a Few Sampling Steps.

Vincent Tao Hu, Di Wu, Yuki Markus Asano, Pascal Mettes, Basura Fernando, Björn Ommer, Cees Snoek

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Latent Space Editing in Transformer-Based Flow Matching.

Vincent Tao Hu, Wei Zhang, Meng Tang, Pascal Mettes, Deli Zhao, Cees Snoek

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Latent Space Editing in Transformer-Based Flow Matching.

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

CoRR, 2023

Motion Flow Matching for Human Motion Synthesis and Editing.

Vincent Tao Hu, Wenzhe Yin, Pingchuan Ma, Yunlu Chen, Basura Fernando, Yuki M. Asano, Efstratios Gavves, Pascal Mettes, Björn Ommer, Cees G. M. Snoek

CoRR, 2023

Guided Diffusion from Self-Supervised Diffusion Features.

Vincent Tao Hu, Yunlu Chen, Mathilde Caron, Yuki M. Asano, Cees G. M. Snoek, Björn Ommer

CoRR, 2023

Generative Data Augmentation Improves Scribble-supervised Semantic Segmentation.

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

CoRR, 2023

ToddlerDiffusion: Flash Interpretable Controllable Diffusion Model.

Eslam Mohamed Bakr, Liangbing Zhao, Vincent Tao Hu, Matthieu Cord, Patrick Pérez, Mohamed Elhoseiny

CoRR, 2023

Self-Guided Diffusion Models.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting.

Martine Toering, Ioannis Gatopoulos, Maarten Stol, Vincent Tao Hu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2020

Localizing the Common Action Among a Few Videos.

Pengwan Yang, Vincent Tao Hu, Pascal Mettes, Cees G. M. Snoek

Proceedings of the Computer Vision - ECCV 2020, 2020

PointMixup: Augmentation for Point Clouds.

Yunlu Chen, Vincent Tao Hu, Efstratios Gavves, Thomas Mensink, Pascal Mettes, Pengwan Yang, Cees G. M. Snoek

Proceedings of the Computer Vision - ECCV 2020, 2020