| 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 | 178 | 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 | 146 | 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 | 51 | 2019 |
| ZigMa: A DiT-style Zigzag Mamba Diffusion Model VT Hu, SA Baumann, M Gui, O Grebenkova, P Ma, J Fischer, B Ommer ECCV 2024, 2024 | 33* | 2024 |
| Self-guided diffusion models VT Hu, DW Zhang, YM Asano, GJ Burghouts, CGM Snoek CVPR, 18413-18422, 2023 | 26 | 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 | 24 | 2020 |
| Accelerating Convolutional Neural Networks with Dynamic Channel Pruning. C Zhang, T Hu, Y Guan, Z Ye DCC, 563, 2019 | 23 | 2019 |
| Latent space editing in transformer-based flow matching VT Hu, DW Zhang, P Mettes, M Tang, D Zhao, CGM Snoek AAAI 2024, 2023 | 15 | 2023 |
| Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting M Toering, I Gatopoulos, M Stol, VT Hu WACV 2022, 2021 | 14 | 2021 |
| 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 | 11 | 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 | 9 | 2023 |
| Interactivity Proposals for Surveillance Videos S Chen, P Mettes, T Hu, CGM Snoek Proceedings of the 2020 International Conference on Multimedia Retrieval …, 2020 | 7 | 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 | 6 | 2023 |
| 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 | 4 | 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 | 3 | 2023 |
| Dense In Dense: Training Segmentation from Scratch T Hu Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 3 | 2019 |
| Boosting Latent Diffusion with Flow Matching JS Fischer, M Gui, P Ma, N Stracke, SA Baumann, B Ommer ECCV 2024, 2024 | 2 | 2024 |
| Diffusion Models and Representation Learning: A Survey M Fuest, P Ma, M Gui, JS Fischer, VT Hu, B Ommer arXiv preprint arXiv:2407.00783, 2024 | 2 | 2024 |
| Flow Matching for Conditional Text Generation in a Few Sampling Steps VT Hu, D Wu, Y Asano, P Mettes, B Fernando, B Ommer, C Snoek EACL 2024, 380-392, 2024 | 2 | 2024 |
| ScribbleGen: Generative Data Augmentation Improves Scribble-supervised Semantic Segmentation J Schnell, J Wang, L Qi, VT Hu, M Tang | 1 | |
Cees G. M. SnoekProfessor of Computer Science, University of Amsterdam在 uva.nl 的电子邮件经过验证
