Vincent Tao Hu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 21

Top Topics

Depth Estimation

Motion Synthesis

Diffusion Tensor

Diffusion Models

Top Venues

Publications

Vincent Tao Hu, Di Wu, Yuki Markus Asano, Pascal Mettes, Basura Fernando, Björn Ommer, Cees Snoek
Flow Matching for Conditional Text Generation in a Few Sampling Steps. EACL (2) (2024)
Michael Fuest, Pingchuan Ma, Ming Gui, Johannes S. Fischer, Vincent Tao Hu, Björn Ommer
Diffusion Models and Representation Learning: A Survey. CoRR (2024)
Ming Gui, Johannes S. Fischer, Ulrich Prestel, Pingchuan Ma, Dmytro Kotovenko, Olga Grebenkova, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer
DepthFM: Fast Monocular Depth Estimation with Flow Matching. CoRR (2024)
Divin Yan, Lu Qi, Vincent Tao Hu, Ming-Hsuan Yang, Meng Tang
Training Class-Imbalanced Diffusion Model Via Overlap Optimization. CoRR (2024)
Vincent Tao Hu, Wei Zhang, Meng Tang, Pascal Mettes, Deli Zhao, Cees Snoek
Latent Space Editing in Transformer-Based Flow Matching. AAAI (2024)
Stefan Andreas Baumann, Felix Krause, Michael Neumayr, Nick Stracke, Vincent Tao Hu, Björn Ommer
Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions. CoRR (2024)
Xiaoyan Xing, Vincent Tao Hu, Jan Hendrik Metzen, Konrad Groh, Sezer Karaoglu, Theo Gevers
Retinex-Diffusion: On Controlling Illumination Conditions in Diffusion Models via Retinex Theory. CoRR (2024)
Vincent Tao Hu, Stefan Andreas Baumann, Ming Gui, Olga Grebenkova, Pingchuan Ma, Johannes S. Fischer, Björn Ommer
ZigMa: A DiT-style Zigzag Mamba Diffusion Model. CoRR (2024)
Vincent Tao Hu, David W. Zhang, Yuki M. Asano, Gertjan J. Burghouts, Cees G. M. Snoek
Self-Guided Diffusion Models. CVPR (2023)
Jacob Schnell, Jieke Wang, Lu Qi, Vincent Tao Hu, Meng Tang
Generative Data Augmentation Improves Scribble-supervised Semantic Segmentation. CoRR (2023)
Eslam Mohamed Bakr, Liangbing Zhao, Vincent Tao Hu, Matthieu Cord, Patrick Pérez, Mohamed Elhoseiny
ToddlerDiffusion: Flash Interpretable Controllable Diffusion Model. CoRR (2023)
Vincent Tao Hu, Yunlu Chen, Mathilde Caron, Yuki M. Asano, Cees G. M. Snoek, Björn Ommer
Guided Diffusion from Self-Supervised Diffusion Features. CoRR (2023)
Vincent Tao Hu, Wenzhe Yin, Pingchuan Ma, Yunlu Chen, Basura Fernando, Yuki M. Asano, Efstratios Gavves, Pascal Mettes, Björn Ommer, Cees G. M. Snoek
Motion Flow Matching for Human Motion Synthesis and Editing. CoRR (2023)
Vincent Tao Hu, David W. Zhang, Pascal Mettes, Meng Tang, Deli Zhao, Cees G. M. Snoek
Latent Space Editing in Transformer-Based Flow Matching. CoRR (2023)
Vincent Tao Hu, David W. Zhang, Yuki M. Asano, Gertjan J. Burghouts, Cees G. M. Snoek
Self-Guided Diffusion Models. CoRR (2022)
Martine Toering, Ioannis Gatopoulos, Maarten Stol, Vincent Tao Hu
Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting. WACV (2022)
Martine Toering, Ioannis Gatopoulos, Maarten Stol, Vincent Tao Hu
Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting. CoRR (2021)
Pengwan Yang, Vincent Tao Hu, Pascal Mettes, Cees G. M. Snoek
Localizing the Common Action Among a Few Videos. ECCV (7) (2020)
Pengwan Yang, Vincent Tao Hu, Pascal Mettes, Cees G. M. Snoek
Localizing the Common Action Among a Few Videos. CoRR (2020)
Yunlu Chen, Vincent Tao Hu, Efstratios Gavves, Thomas Mensink, Pascal Mettes, Pengwan Yang, Cees G. M. Snoek
PointMixup: Augmentation for Point Clouds. CoRR (2020)
Yunlu Chen, Vincent Tao Hu, Efstratios Gavves, Thomas Mensink, Pascal Mettes, Pengwan Yang, Cees G. M. Snoek
PointMixup: Augmentation for Point Clouds. ECCV (3) (2020)