Pau de Jorge

According to our database, Pau de Jorge authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Placing Objects in Context via Inpainting for Out-of-distribution Segmentation.

Pau de Jorge, Riccardo Volpi, Puneet K. Dokania, Philip H. S. Torr, Grégory Rogez

CoRR, 2024

2023

A Survey on Transferability of Adversarial Examples across Deep Neural Networks.

Jindong Gu, Xiaojun Jia, Pau de Jorge, Wenqian Yu, Xinwei Liu, Avery Ma, Yuan Xun, Anjun Hu, Ashkan Khakzar, Zhijiang Li, Xiaochun Cao, Philip H. S. Torr

CoRR, 2023

Reliability in Semantic Segmentation: Are we on the Right Track?

Pau de Jorge, Riccardo Volpi, Philip H. S. Torr, Grégory Rogez

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Catastrophic overfitting is a bug but also a feature.

Guillermo Ortiz-Jiménez, Pau de Jorge, Amartya Sanyal, Adel Bibi, Puneet K. Dokania, Pascal Frossard, Grégory Rogez, Philip H. S. Torr

CoRR, 2022

Make Some Noise: Reliable and Efficient Single-Step Adversarial Training.

Pau de Jorge, Adel Bibi, Riccardo Volpi, Amartya Sanyal, Philip H. S. Torr, Grégory Rogez, Puneet K. Dokania

CoRR, 2022

On the Road to Online Adaptation for Semantic Image Segmentation.

Riccardo Volpi, Pau de Jorge, Diane Larlus, Gabriela Csurka

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Progressive Skeletonization: Trimming more fat from a network at initialization.

Pau de Jorge, Amartya Sanyal, Harkirat S. Behl, Philip H. S. Torr, Grégory Rogez, Puneet K. Dokania

Proceedings of the 9th International Conference on Learning Representations, 2021