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Vincent Tao Hu
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Conference and Workshop Papers
- 2024
- [c6]Vincent Tao Hu, Wei Zhang, Meng Tang, Pascal Mettes, Deli Zhao, Cees Snoek:
Latent Space Editing in Transformer-Based Flow Matching. AAAI 2024: 2247-2255 - [c5]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: 380-392 - 2023
- [c4]Vincent Tao Hu, David W. Zhang, Yuki M. Asano, Gertjan J. Burghouts, Cees G. M. Snoek:
Self-Guided Diffusion Models. CVPR 2023: 18413-18422 - 2022
- [c3]Martine Toering, Ioannis Gatopoulos, Maarten Stol, Vincent Tao Hu:
Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting. WACV 2022: 846-856 - 2020
- [c2]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: 330-345 - [c1]Pengwan Yang, Vincent Tao Hu, Pascal Mettes, Cees G. M. Snoek:
Localizing the Common Action Among a Few Videos. ECCV (7) 2020: 505-521
Informal and Other Publications
- 2024
- [i15]Divin Yan, Lu Qi, Vincent Tao Hu, Ming-Hsuan Yang, Meng Tang:
Training Class-Imbalanced Diffusion Model Via Overlap Optimization. CoRR abs/2402.10821 (2024) - [i14]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 abs/2403.13788 (2024) - [i13]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 abs/2403.13802 (2024) - [i12]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 abs/2403.17064 (2024) - [i11]Michael Fuest, Pingchuan Ma, Ming Gui, Johannes S. Fischer, Vincent Tao Hu, Björn Ommer:
Diffusion Models and Representation Learning: A Survey. CoRR abs/2407.00783 (2024) - [i10]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 abs/2407.20785 (2024) - 2023
- [i9]Eslam Mohamed Bakr, Liangbing Zhao, Vincent Tao Hu, Matthieu Cord, Patrick Pérez, Mohamed Elhoseiny:
ToddlerDiffusion: Flash Interpretable Controllable Diffusion Model. CoRR abs/2311.14542 (2023) - [i8]Jacob Schnell, Jieke Wang, Lu Qi, Vincent Tao Hu, Meng Tang:
Generative Data Augmentation Improves Scribble-supervised Semantic Segmentation. CoRR abs/2311.17121 (2023) - [i7]Vincent Tao Hu, Yunlu Chen, Mathilde Caron, Yuki M. Asano, Cees G. M. Snoek, Björn Ommer:
Guided Diffusion from Self-Supervised Diffusion Features. CoRR abs/2312.08825 (2023) - [i6]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 abs/2312.08895 (2023) - [i5]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 abs/2312.10825 (2023) - 2022
- [i4]Vincent Tao Hu, David W. Zhang, Yuki M. Asano, Gertjan J. Burghouts, Cees G. M. Snoek:
Self-Guided Diffusion Models. CoRR abs/2210.06462 (2022) - 2021
- [i3]Martine Toering, Ioannis Gatopoulos, Maarten Stol, Vincent Tao Hu:
Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting. CoRR abs/2106.10137 (2021) - 2020
- [i2]Pengwan Yang, Vincent Tao Hu, Pascal Mettes, Cees G. M. Snoek:
Localizing the Common Action Among a Few Videos. CoRR abs/2008.05826 (2020) - [i1]Yunlu Chen, Vincent Tao Hu, Efstratios Gavves, Thomas Mensink, Pascal Mettes, Pengwan Yang, Cees G. M. Snoek:
PointMixup: Augmentation for Point Clouds. CoRR abs/2008.06374 (2020)
Coauthor Index
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