| 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 | 248 | 2020 |
| 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 | 211 | 2024 |
| 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 | 180 | 2019 |
| DepthFM: Fast Generative Monocular Depth Estimation with Flow Matching M Gui, J Schusterbauer, U Prestel, P Ma, D Kotovenko, O Grebenkova, ... Proceedings of the AAAI Conference on Artificial Intelligence 39 (3), 3203-3211, 2025 | 126 | 2025 |
| Localizing the Common Action Among a Few Videos P Yang*, VT Hu*, P Mettes, CGM Snoek European Conference on Computer Vision, 505-521, 2020 | 87 | 2020 |
| 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 | 60 | 2019 |
| 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 | 56 | 2024 |
| Self-guided diffusion models VT Hu, DW Zhang, YM Asano, GJ Burghouts, CGM Snoek CVPR, 18413-18422, 2023 | 54 | 2023 |
| Boosting latent diffusion with flow matching J Schusterbauer, M Gui, P Ma, N Stracke, SA Baumann, VT Hu, B Ommer arXiv e-prints, arXiv: 2312.07360, 2023 | 42* | 2023 |
| Latent space editing in transformer-based flow matching VT Hu, DW Zhang, P Mettes, M Tang, D Zhao, CGM Snoek AAAI 2024, 2023 | 40 | 2023 |
| 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 | 35 | 2023 |
| Accelerating Convolutional Neural Networks with Dynamic Channel Pruning. C Zhang, T Hu, Y Guan, Z Ye DCC, 563, 2019 | 35 | 2019 |
| Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions SA Baumann, F Krause, M Neumayr, N Stracke, VT Hu, B Ommer arXiv preprint arXiv:2403.17064, 2024 | 30 | 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 | 30 | 2024 |
| Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting M Toering, I Gatopoulos, M Stol, VT Hu WACV 2022, 2021 | 19 | 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 | 14 | 2018 |
| Retinex-Diffusion: On Controlling Illumination Conditions in Diffusion Models via Retinex Theory X Xing, VT Hu, JH Metzen, K Groh, S Karaoglu, T Gevers CVIU, 2025 | 12 | 2025 |
| Training Class-Imbalanced Diffusion Model Via Overlap Optimization D Yan, L Qi, VT Hu, MH Yang, M Tang arXiv preprint arXiv:2402.10821, 2024 | 12 | 2024 |
| ScribbleGen: Generative Data Augmentation Improves Scribble-supervised Semantic Segmentation J Schnell, J Wang, L Qi, VT Hu, M Tang | 12* | |
| Can Prompt Difficulty be Online Predicted for Accelerating RL Finetuning of Reasoning Models? Y Qu, QC Wang, Y Mao, VT Hu, X Ji arXiv preprint arXiv:2507.04632, 2025 | 11 | 2025 |
Björn OmmerProfessor, Computer Vision & Learning Group (CompVis), University of MunichVerified email at lmu.de
