Pau de Jorge
Pau de Jorge
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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
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
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
Nucleosome Dynamics: a new tool for the dynamic analysis of nucleosome positioning
D Buitrago, L Codo, R Illa, P de Jorge, F Battistini, O Flores, G Bayarri, ...
Nucleic Acids Research 47 (18), 9511-9523, 2019
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
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
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
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
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