| Expandnets: Linear over-parameterization to train compact convolutional networks S Guo, JM Alvarez, M Salzmann Advances in Neural Information Processing Systems 33, 1298-1310, 2020 | 71 | 2020 |
| Distilling Image Classifiers in Object Detectors S Guo, JM Alvarez, M Salzmann Advances in Neural Information Processing Systems 34, 1036-1047, 2021 | 10 | 2021 |
| A semi-automatic solution archive for cross-cut shredded text documents reconstruction S Guo, S Lao, J Guo, H Xiang Image and Graphics: 8th International Conference, ICIG 2015, Tianjin, China …, 2015 | 8 | 2015 |
| Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions S Guo, Y Hu, JM Alvarez, M Salzmann Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
| An attention model based on spatial transformers for scene recognition S Guo, L Liu, W Wang, S Lao, L Wang 2016 23rd International Conference on Pattern Recognition (ICPR), 3757-3762, 2016 | 4 | 2016 |
| DARTS Once More: Enhancing Differentiable Architecture Search by Masked Image Modeling B Guo, S Guo, M Shi, P Chen, S He, J Chen, K Yu arXiv preprint arXiv:2211.10105, 2022 | 1 | 2022 |
| Knowledge Distillation for 6D Pose Estimation by Keypoint Distribution Alignment S Guo, Y Hu, JM Alvarez, M Salzmann arXiv preprint arXiv:2205.14971, 2022 | | 2022 |
Mathieu SalzmannEPFLPotvrđena adresa e-pošte na epfl.ch
