PointMixup: Augmentation for Point Clouds Y Chen, VT Hu, E Gavves, T Mensink, P Mettes, P Yang, CGM Snoek ECCV, 2020 | 168 | 2020 |
Unsharp Mask Guided Filtering Z Shi, Y Chen, E Gavves, P Mettes, CGM Snoek TIP, 2021 | 40 | 2021 |
3d neighborhood convolution: Learning depth-aware features for rgb-d and rgb semantic segmentation Y Chen, T Mensink, E Gavves 2019 International Conference on 3D Vision (3DV), 173-182, 2019 | 31 | 2019 |
3D Equivariant Graph Implicit Functions Y Chen, B Fernando, H Bilen, M Nießner, E Gavves ECCV, 2022 | 18 | 2022 |
Graph neural networks for learning equivariant representations of neural networks M Kofinas, B Knyazev, Y Zhang, Y Chen, GJ Burghouts, E Gavves, ... arXiv preprint arXiv:2403.12143, 2024 | 9 | 2024 |
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 |
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 | 5 | 2023 |
Neural Feature Matching in Implicit 3D Representations Y Chen, B Fernando, H Bilen, T Mensink, E Gavves ICML, 2021 | 5 | 2021 |
Neural networks are graphs! graph neural networks for equivariant processing of neural networks DW Zhang, M Kofinas, Y Zhang, Y Chen, GJ Burghouts, CGM Snoek | 4 | 2023 |
Interactive exploration of journalistic video footage through multimodal semantic matching S Ibrahimi, S Chen, D Arya, A Câmara, Y Chen, T Crijns, M Van Der Goes, ... Proceedings of the 27th ACM International Conference on Multimedia, 2196-2198, 2019 | 2 | 2019 |
Towards explaining neural networks Y Chen | 2 | 2017 |
Dynamic Prototype Adaptation with Distillation for Few-shot Point Cloud Segmentation J Liu, W Yin, H Wang, Y Chen, JJ Sonke, E Gavves 2024 International Conference on 3D Vision (3DV), 810-819, 2024 | | 2024 |