Focused on introducing inductive bias into neural network to achieve data-efficiency by few-shot learning, generative model, etc. Have a conviction that generative modelling will be the future of discriminative modelling.
I'm on the job market. Feel free to contact me. [AIGC expert]
[May. 2023] A paper about the flow matching is submitted, thanks to my coorporators~
[Apr. 2023] Co-supervise new master students: Junjie Xu(Umich), Zeqiu Yu(Northwestern Uni) with Meng Tang from UCMerced, welcome on board!
[Apr. 2023] I am selected for CVPR 2023 Doctoral Consortium. Here is the Summary of my PhD Research.
[March. 2023] One CVPR 2023 and New Blog: Flow Matching: Make CNF great again or diffusion model++?
[Jan. 2023] Committee members confirmed: Theo Gevers, Marcel Worring, Efstratios Gavves, Bernard Ghanem, Tim Salimans
[Oct. 2022] "Self-Guided Diffusion Models" was accepted by two NeurIPS 2022 workshops.
[Dec. 2021] My mentee Martine Toering's Master Thesis won the ADS Thesis Awards.
(Full Publication), * Equal contribution
A paper about Flow Matching
Self-Guided Diffusion Models
Vincent Tao Hu*,David W Zhang*, Yuki M. Asano, Gertjan J. Burghouts, Cees G. M. Snoek
CVPR 2023, NeurIPS 2022 SSL and SBM workshops.
A bridge between the community of self-supervised learning and diffusion models.
Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting
Martine Toering, Ioannis Gatopoulos, Maarten Stol, Vincent Tao Hu
Improve video representation by constrasting Prototypical features.
PointMixup: Augmentation for Point Clouds
Yunlu Chen*, Vincent Tao Hu*,Efstratios Gavves, Thomas Mensink, Pascal Mettes, Pengwan Yang, Cees G. M. Snoek
A simple augmentation method based on MixUp to boost the performance on related tasks of point cloud.
Localizing the Common Action Among a Few Videos
Pengwan Yang*, Vincent Tao Hu*, Pascal Mettes, Cees G. M. Snoek
Localizing the temporal extent of an action in a long untrimmed video by attention techniques.
SILCO: Show a Few Images, Localize the Common Object
Tao Hu, Pascal Mettes, Jia-Hong Huang, Cees G. M. Snoek
Design a graph network and apply attention on them to solve the problem of common object localization.
Attention-based Multi-Context Guiding for Few-Shot Semantic Segmentation
Tao Hu, Pengwan Yang, Chiliang Zhang, Gang Yu, Yadong Mu, Cees G.M. Snoek
Solve the few-shot segmentation problem by applying attention in multi-scales.
Query by Activity Video in the Wild
Tao Hu, William Thong, Pascal Mettes, Cees G.M. Snoek
Few-shot video retrieval.
Reviewer for CVPR 20/21/22/23, ECCV20/22, ICLR22/23, NeurIPS22, AAAI-23 Program Committee Member, BMVC21/22/23, WACV21/22/23, ICRA, TMM, ACCV, etc.
Teaching Assistant for deep learning course(2019/20) with Efstratios Gavves in University of Amsterdam.
Sicily Summer School 2019, Gran Canaria summer school 2021
Andrea Rigo(M.S.),2022=>Depth-aware generative modeling
Martine Toering(M.S.),2021=>Self-supervised Video Representation Learningwith Cross-Stream Prototypical Contrasting
Hinrik Snær(M.S.),2021=>Improvement in efficiency for automated quality control for fish processing using semantic segmentation
Martine Toering(B.A.),2019=>Video Classification from scratch
Paulien Rouwendaal(M.S.),2019=>Full and point supervised learning strategies for table cell detection
Youtube(For Fun): Vincent Talk
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