Progressive skeletonization: Trimming more fat from a network at initialization P de Jorge, A Sanyal, HS Behl, PHS Torr, G Rogez, PK Dokania International Conference on Learning Representations, ICLR 2021, 2020 | 90 | 2020 |
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training P de Jorge, A Bibi, R Volpi, A Sanyal, PHS Torr, G Rogez, PK Dokania Advances in Neural Information Processing Systems (NeurlPS), 2022, 2022 | 46* | 2022 |
On the road to online adaptation for semantic image segmentation R Volpi, P de Jorge, D Larlus, G Csurka Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 27 | 2022 |
Nucleosome Dynamics: a new tool for the dynamic analysis of nucleosome positioning D Buitrago, L Codó, R Illa, P de Jorge, F Battistini, O Flores, G Bayarri, ... Nucleic Acids Research 47 (18), 9511-9523, 2019 | 16 | 2019 |
A survey on transferability of adversarial examples across deep neural networks J Gu, X Jia, P de Jorge, W Yu, X Liu, A Ma, Y Xun, A Hu, A Khakzar, Z Li, ... arXiv preprint arXiv:2310.17626, 2023 | 15 | 2023 |
Reliability in semantic segmentation: Are we on the right track? P de Jorge, R Volpi, PHS Torr, G Rogez Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 13 | 2023 |
Catastrophic overfitting can be induced with discriminative non-robust features G Ortiz-Jimenez*, P de Jorge*, A Sanyal, A Bibi, PK Dokania, P Frossard, ... Transactions on Machine Learning Research, 2023 | 4* | 2023 |
Placing Objects in Context via Inpainting for Out-of-distribution Segmentation P de Jorge, R Volpi, PK Dokania, PHS Torr, G Rogez arXiv preprint arXiv:2402.16392, 2024 | | 2024 |