Tao Hu
Tao Hu
Other namesVincent Tao Hu
Humble Ommer-Lab PostDoc | University of Amsterdam | PKU
Verified email at - Homepage
Cited by
Cited by
Pointmixup: Augmentation for point clouds
Y Chen*, VT Hu*, E Gavves, T Mensink, P Mettes, P Yang, CGM Snoek
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Attention-based multi-context guiding for few-shot semantic segmentation
T Hu, P Yang, C Zhang, G Yu, Y Mu, CGM Snoek
Proceedings of the AAAI Conference on Artificial Intelligence 33, 8441-8448, 2019
Silco: Show a few images, localize the common object
T Hu, P Mettes, JH Huang, CGM Snoek
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
Self-guided diffusion models
VT Hu, DW Zhang, YM Asano, GJ Burghouts, CGM Snoek
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Localizing the Common Action Among a Few Videos
P Yang*, VT Hu*, P Mettes, CGM Snoek
European Conference on Computer Vision, 505-521, 2020
Accelerating Convolutional Neural Networks with Dynamic Channel Pruning.
C Zhang, T Hu, Y Guan, Z Ye
DCC, 563, 2019
ZigMa: A DiT-style Zigzag Mamba Diffusion Model
VT Hu, SA Baumann, M Gui, O Grebenkova, P Ma, J Fischer, B Ommer
arXiv preprint arXiv:2403.13802, 2024
Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting
M Toering, I Gatopoulos, M Stol, VT Hu
WACV 2022, 2021
Latent space editing in transformer-based flow matching
VT Hu, DW Zhang, P Mettes, M Tang, D Zhao, CGM Snoek
AAAI 2024, 2023
Sobel heuristic kernel for aerial semantic segmentation
T Hu, Y Wang, Y Chen, P Lu, H Wang, G Wang
2018 25th IEEE International Conference on Image Processing (ICIP), 3074-3078, 2018
Motion Flow Matching for Human Motion Synthesis and Editing
VT Hu, W Yin, P Ma, Y Chen, B Fernando, YM Asano, E Gavves, P Mettes, ...
arXiv preprint arXiv:2312.08895, 2023
Interactivity Proposals for Surveillance Videos
S Chen, P Mettes, T Hu, CGM Snoek
Proceedings of the 2020 International Conference on Multimedia Retrieval …, 2020
Guided Diffusion from Self-Supervised Diffusion Features
VT Hu, Y Chen, M Caron, YM Asano, CGM Snoek, B Ommer
arXiv preprint arXiv:2312.08825, 2023
Dense In Dense: Training Segmentation from Scratch
T Hu
Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019
DepthFM: Fast Monocular Depth Estimation with Flow Matching
M Gui, JS Fischer, U Prestel, P Ma, D Kotovenko, O Grebenkova, ...
arXiv preprint arXiv:2403.13788, 2024
Flow Matching for Conditional Text Generation in a Few Sampling Steps
V Hu, D Wu, Y Asano, P Mettes, B Fernando, B Ommer, C Snoek
Proceedings of the 18th Conference of the European Chapter of the …, 2024
Generative Data Augmentation Improves Scribble-supervised Semantic Segmentation
J Schnell, J Wang, L Qi, VT Hu, M Tang
arXiv preprint arXiv:2311.17121, 2023
PointMixup: Augmentation for Point Cloud Supplementary Material
Y Chen, VT Hu, E Gavves, T Mensink, P Mettes, P Yang, C Snoek
Training Class-Imbalanced Diffusion Model Via Overlap Optimization
D Yan, L Qi, VT Hu, MH Yang, M Tang
arXiv preprint arXiv:2402.10821, 2024
Boosting Latent Diffusion with Flow Matching
JS Fischer, M Gui, P Ma, N Stracke, SA Baumann, B Ommer
arXiv preprint arXiv:2312.07360, 2023
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